PATENT DOCUMENT

Publication Number: US-9386371-B2
Application Number: US-201313790666-A
Country: US
Kind Code: B2

Title: Psychoacoustic adaptive notch filtering

Abstract:
Improved systems and methods for psychoacoustic adaptive notch filtering are provided. By accounting for psychoacoustic properties of an audio signal as well as finer characteristics of noise which may be present in the audio signal (e.g., the shape of the spectral density of the noise), more effective strategies for dealing with undesirable components of the audio signal may be realized.

Claims:
What is claimed is: 
     
       1. A method for performing adaptive notch filtering, the method comprising:
 receiving an input signal containing tone-like noise having a power spectral density that includes at least one peak; 
 determining whether tone-like noise is present in a particular critical band of the input signal, including analyzing the input signal to determine a frequency for the at least one peak and to determine whether the frequency is within the critical band; and 
 in response to a determination that the tone-like noise is present:
 estimating an amplitude of the tone-like noise; and 
 estimating how much energy is contained in the particular critical band; 
 
 determining at least one suppression factor for the tone-like noise based on the estimated amplitude and energy; 
 selecting a notch filter based on the determined at least one suppression factor; and 
 applying the selected notch filter to the input signal. 
 
     
     
       2. The method of  claim 1 , wherein determining whether tone-like noise is present comprises:
 applying a predefined notch filter to the input signal to generate a filtered signal. 
 
     
     
       3. The method of  claim 2 , wherein determining whether tone-like noise is present further comprises:
 calculating a signal power in the filtered signal. 
 
     
     
       4. The method of  claim 3 , wherein determining whether tone-like noise is present further comprises:
 comparing the calculated signal power with a signal power of the input signal. 
 
     
     
       5. The method of  claim 1 , wherein determining at least one suppression factor comprises:
 determining at least one notch filter level. 
 
     
     
       6. A method for performing adaptive notch filtering, the method comprising:
 receiving an input signal containing tone-like noise having a power spectral density that includes at least one peak; 
 determining how much energy is contained in at least one predefined frequency band of the input signal; 
 determining a level of tone-like noise present in the at least one predefined band based on the determined amount of energy, including analyzing the input signal to determine a frequency for the at least one peak within the at least one predefined band; 
 selecting a notch filter based on the determined level; and 
 applying the selected notch filter to the input signal. 
 
     
     
       7. The method of  claim 6 , wherein determining how much energy comprises:
 applying at least one band pass filter to the input signal. 
 
     
     
       8. The method of  claim 6 , wherein determining the level of tone-like noise occurs only when the determined amount of energy is less than a predetermined amount of energy. 
     
     
       9. The method of  claim 6 , wherein determining the level of tone-like noise comprises:
 applying at least one particular notch filter to the input signal to generate a filtered signal; and 
 comparing the filtered signal and the input signal. 
 
     
     
       10. The method of  claim 6  further comprising:
 determining, prior to selecting, whether suppression of the tone-like noise is required based on the determined level. 
 
     
     
       11. The method of  claim 10 , wherein selecting is performed in response to a determination that suppression of the tone-like noise is required. 
     
     
       12. An electronic device comprising:
 a receiver configured to receive an input signal containing tone-like noise having a power spectral density that includes at least one peak, and 
 an adaptive notch filtering system configured to:
 determine how much energy is contained in at least one predefined frequency band of the input signal; 
 determine a level of tone-like noise present in the at least one predefined band based on the determined amount of energy, including analyzing the input signal to determine a frequency for the at least one peak within the at least one predefined band; 
 select a notch filter based on the determined level; and 
 apply the selected notch filter to the input signal. 
 
 
     
     
       13. The electronic device of  claim 12 , wherein the receiver comprises an audio receiver. 
     
     
       14. The electronic device of  claim 12 , wherein the input signal comprises an audio signal. 
     
     
       15. The electronic device of  claim 12 , wherein the filtering system comprises a psychoacoustic adaptive notch filtering system. 
     
     
       16. The electronic device of  claim 12 , wherein the filtering system is configured to determine the amount of energy by applying at least one band pass filter to the input signal. 
     
     
       17. The electronic device of  claim 12 , wherein the filtering system is configured to determine the level of tone-like noise only when the determined amount of energy is less than a predetermined energy. 
     
     
       18. The electronic device of  claim 12 , wherein the filtering system is configured to determine the level of tone-like noise by:
 applying at least one particular notch filter to the input signal to generate a filtered signal; and 
 comparing the filtered signal and the input signal. 
 
     
     
       19. The electronic device of  claim 12 , wherein, prior to the selection of the notch filter, the filtering system is further configured determine whether suppression of the tone-like noise is required based on the determined level. 
     
     
       20. The electronic device of  claim 19 , wherein the filtering system is configured to select the notch filter in response to a determination that suppression of the tone-like noise is required. 
     
     
       21. A non-transitory computer readable medium storing a program configured to cause a computer to execute an adaptive notch filtering process, the filtering process comprising:
 identifying an input signal containing tone-like noise having a power spectral density that includes at least one peak; 
 determining how much energy is contained in at least one predefined frequency band of the input signal; 
 determining a level of tone-like noise present in the at least one predefined band based on the determined amount of energy, including analyzing the input signal to determine a frequency for the at least one peak within the at least one predefined band; 
 selecting a notch filter based on the determined level; and 
 applying the selected notch filter to the input signal.

Description:
CROSS-REFERENCE TO RELATED PROVISIONAL APPLICATIONS 
     This application claims the benefit of U.S. Provisional Patent Application No. 61/657,473 filed on Jun. 8, 2012, the disclosure of which is hereby incorporated herein by reference in its entirety. 
    
    
     FIELD OF THE INVENTION 
     This disclosure relates to the fields of noise suppressors and perceptual audio coding, and more particularly relates to psychoacoustic adaptive notch filtering. 
     BACKGROUND OF THE INVENTION 
     Noise suppressors address the problem of unknown external sources adding noise to an audio signal of interest by attempting to reduce the noise. 
     Traditional noise suppressors use generic information when dealing with noise because, in general, noise can include one of many types of noise, which may have distinct spectral densities (e.g., white noise, Brownian noise, grey noise, etc.) and/or distinct probability distributions (e.g., Gaussian, Poisson, Cauchy, etc.). Traditional noise suppressors also estimate the level of noise in certain critical bands of frequencies, and based on these estimates, they also perform suppression of the entire critical bands. 
     In audio coding, an incoming, continuous audio signal may be converted into a predetermined number of discrete bits. As part of this conversion, quantization noise may be added into the audio signal. For example, many audio coders introduce noise in both time and frequency. The key difference between the noise introduced by audio coding compared to noise added by an unknown external source is that the former is added to certain frequency bands in a known way. 
     Components of a system may also introduce noise into a signal of interest. As with audio coding, the noise introduced by system components may also have deterministic characteristics. For example, electronic components may introduce noise centered around a particular frequency (e.g., noise generated by an electronic component, where the noise can vary, but is known to be concentrated in limited frequencies or limited frequency bands (e.g., based on the characteristics of the electronic component)). 
     Whenever a noise suppressor performs suppression on a primary signal, distortion of the primary signal can occur. Additionally, if a traditional noise suppressor performs suppression of an entire critical band or a wide band of frequencies, information may be lost. Accordingly, more effective strategies for dealing with undesirable noise components of an audio signal are needed. 
     SUMMARY OF THE INVENTION 
     Improved systems and methods for psychoacoustic adaptive notch filtering are provided. By accounting for psychoacoustic properties of an audio signal, as well as finer characteristics of noise that may be present in the audio signal (e.g., the shape of the spectral density of the noise), more effective strategies for dealing with undesirable components of the audio signal may be realized. For example, adaptive notch filtering can be employed to vary the degree of suppression of a narrow (or limited) band of frequencies of an audio signal as a function of the psychoacoustic properties of the signal. Additionally, adaptive notch filtering may avoid suppressing an entire critical band of the audio signal. Psychoacoustic principles can involve making critical band energy estimates over time. For example, to determine how much a desirable signal (e.g., an audio signal) masks an undesirable signal (i.e., noise), critical band energies of the desirable signal for a range of time t, where t 1 &lt;=t&lt;=t 2 , can be used. In at least one embodiment, t can be equal to t 1  and t 2  (e.g., where only a current energy is used). However, in at least another embodiment, multiple energy samples can be taken over a range of time. 
     In at least one embodiment, a method for performing adaptive notch filtering is provided. The method can include receiving an input signal, and determining whether tone-like noise is present in a particular critical band of the input signal. In response to a determination that the tone-like noise is present, the method can also include estimating an amplitude of the tone-like noise, and estimating how much energy is contained in the particular critical band. The method can also include determining at least one suppression factor for the tone-like noise based on the estimated amplitude and energy, selecting a notch filter based on the determined at least one suppression factor, and applying the selected notch filter to the input signal. 
     In at least one embodiment, a method for performing adaptive notch filtering is provided. The method can include receiving an input signal, determining how much energy is contained in at least one predefined frequency band of the input signal, determining a level of tone-like noise present in the at least one predefined band based on the determined amount of energy, selecting a notch filter based on the determined level, and applying the selected notch filter to the input signal. 
     In at least one embodiment, an electronic is provided. The electronic device can include a receiver configured to receive an input signal, and an adaptive notch filtering system. The filtering system can be configured to determine how much energy is contained in at least one predefined frequency band of the input signal, determine a level of tone-like noise present in the at least one predefined band based on the determined amount of energy, select a notch filter based on the determined level, and apply the selected notch filter to the input signal. 
     In at least one embodiment, a non-transitory computer readable medium is provided. The computer readable medium can store a program configured to cause a computer to execute an adaptive notch filtering process. The filtering process can include identifying an input signal, determining how much energy is contained in at least one predefined frequency band of the input signal, determining a level of tone-like noise present in the at least one predefined band based on the determined amount of energy, selecting a notch filter based on the determined level, and applying the selected notch filter to the input signal. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
       The above and other features of the present invention, its nature and various advantages will be more apparent upon consideration of the following detailed description, taken in conjunction with the accompanying drawings in which: 
         FIG. 1  is an illustration of the power spectral density of tone-like noise components, which may be contained in an audio signal, in accordance with at least one embodiment; 
         FIG. 2  is an illustrative graph of the frequency response of a family of notch filters, in accordance with at least one embodiment; 
         FIG. 3  is a block diagram of a system for performing psychoacoustic adaptive notch filtering, in accordance with at least one embodiment; 
         FIG. 4  is an illustrative block diagram of a system for estimating the energy contained in a narrow frequency band, in accordance with at least one embodiment; 
         FIG. 5  is an illustrative graph of a signal masking tone-like noise, in accordance with at least one embodiment; 
         FIG. 6  is a block diagram of another system for performing psychoacoustic adaptive notch filtering, in accordance with at least one embodiment; 
         FIG. 7  is an illustrative process for performing psychoacoustic adaptive notch filtering, in accordance with at least one embodiment; and 
         FIG. 8  shows a schematic view of an illustrative electronic device, in accordance with at least one embodiment. 
     
    
    
     DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS 
     Improved systems and methods for psychoacoustic adaptive notch filtering are provided are provided and described with reference to  FIGS. 1-8 . 
     Noise in an audio signal can be tone-like and/or noise-like. As used herein, the term “tone-like” is intended to describe signals with at least one discernible peak in their power spectral density. Additionally, a tone-like signal may include more than one peak. The additional peaks may represent harmonics of the discernible peak or may be unrelated to the discernible peak. As used herein, the term “noise-like” is intended to describe signals with a relatively flat power spectral density (e.g., white noise) or a power spectral density that does not contain any easily discernible peaks (e.g., Brownian noise or grey noise). One skilled in the art will appreciate that a given signal may contain both tone-like and noise-like components. 
     The extent to which an individual perceives noise within an audio signal depends both on the nature of the audio signal (e.g., whether the audio signal is a tone-like signal or whether the audio signal is a noisy signal) and the nature of the noise (e.g., whether the noise is tone-like or noise-like). Traditional noise suppressors, however, only consider the scenario where the noise within the audio signal is noise-like. Noise suppressors are generally agnostic to the case where the noise is tone-like. 
     In some situations, noise in an audio signal can be tone-like. Referring now to  FIG. 1 , graph  100  illustrates the power spectral density of an audio signal that may contain tone-like noise. Signal  101  may include tone-like noise centered at three distinct frequencies (e.g., frequencies  121 - 123 ). The tone-like noise centered at frequencies  121 - 123  may be related. For example, noise located at frequencies  122  and  123  may be harmonics of base frequency  121 . Alternatively, the tone-like noise centered at frequencies  121 - 123  may be unrelated (e.g., generated by three separate sources). For the purposes of illustration and not of limitation, discussion regarding  FIG. 1  will assume that signal  101  represents an audio signal containing noise with a known harmonic structure (i.e., frequencies  122  and  123  are harmonics of frequency  121 ). 
     The tone-like noise centered at each of frequencies  121 - 123  may each be contained within bands  131 - 133 , respectively. Bands  131 - 133  may correspond to critical bands. As used herein, the term “critical band” may refer to a bandwidth in which an individual&#39;s auditory frequency-analysis mechanism may be unable to resolve inputs whose frequency difference is smaller than the bandwidth. In order to isolate the energy information of a particular band, band pass filters may be utilized. For example, band-pass filters  111 - 113  may be used to extract information in bands  131 - 133 . Band pass filters  111 - 113  may be sized such that their bandwidths correspond to critical bands  131 - 133 , respectively. Although three band pass filters are shown in  FIG. 1 , it is to be understood that any suitable number of band pass filters may be implemented. 
     Knowing that the noise contained in signal  101  is tone-like provides additional flexibility when dealing with the noise. For example, the tone-like noise centered at frequency  121  can be targeted using a notch filter. Notch filtering may be advantageous for getting rid of narrow, specific portions of the audio spectrum. As a result, the tone-like noise centered at frequency  121  may be suppressed without requiring suppression of the entirety of band  131 . Additionally, that noise centered at frequency  121  is tone-like may allow for varying degrees of suppression (e.g., via notch filters with varying depths) depending on the overall frequency content of signal  101 . For example, if signal  101  contains a significant amount of energy in band  131  besides the tone-like noise centered at frequency  121 , the noise may be suppressed less than it would otherwise need to be suppressed. Alternatively, the noise may not need to be suppressed at all. 
       FIG. 2  depicts an illustrative graph  200  of the frequency response of a family of notch filters. The family of notch filters may allow for varying degrees of suppression at a given frequency. Notch filters  201 - 204  may each be centered at frequency  205 , respectively. Each of notch filters  201 - 204  may have a different depth d 1 -d 4 , respectively. Therefore, by applying one of notch filters  201 - 204 , varying levels of suppression may be achieved. Although four notch filters are shown in  FIG. 2 , it is to be understood that any number of notch filters may constitute a family of notch filters. In some embodiments, a family of notch filters may include a continuous number of filter depths. Additionally, frequency  205  may be adjusted to suit any particular application. 
       FIG. 3  is a block diagram of a system for performing psychoacoustic adaptive notch filtering. System  300  may include a band energy estimation block  310 , a tone energy estimation block  320 , a tone suppression determination block  330 , a notch level selector  340 , and a notch filter bank  350 . For the purposes of illustration and discussion of system  300 , reference will be made to  FIG. 1  in connection with  FIG. 3 . It is understood that references to other figures are merely for illustration and not intended to imply a required combination. 
     System  300  may accept signal  301  as an input and produce signal  302  as an output. Signal  301  may contain noise similar to the noise described with respect to  FIG. 1 . For example, signal  301  may contain tone-like noise centered around frequency  121  with harmonics located at frequencies  122  and  123 , respectively. 
     Band energy estimation block  310  may measure the energy contained in a number of bands. To accomplish this task, band energy estimation block  310  may utilize band pass filters. For example, band energy estimation block  310  may implement band pass filters  111 - 113  shown in  FIG. 1 . Although three band pass filters are shown in  FIG. 1 , it is understood that band energy estimation block  310  may implement any suitable number of band pass filters. Band pass filters  111 - 113  may be applied individually to signal  301 , and band energy estimation block  310  may calculate the energy remaining in each of the filtered signals. As a result, band energy estimation block  310  may be able to calculate and store the energy contained in critical bands  131 - 133 , respectively. Band energy estimation block  310  may pass information about the energy contained in bands  131 - 133  to one or both of tone energy estimation block  320  and tone suppression determination block  330  (e.g., via signals  312  and  311 , respectively). Additionally, band energy estimation block  310  may pass the filtered signals that result after applying each band pass filter (e.g., the filtered signal that results after applying band pass filters  111 - 113 ) to tone energy estimation block  320  via signal  312 . 
     According to some embodiments, tone energy estimation block  320  may estimate the energy levels of tone-like noise contained in signal  301 . Tone energy estimation block  320  may provide real-time estimates of the energy contained in each of a number of tone-like noise components found in signal  301 . Tone energy estimation block  320  may operate during quiet periods (e.g., when the overall energy level of signal  301  is below a predetermined level). For example, system  300  may be part of an electronic device (e.g., electronic device  800  described in more detail below) that contains a voice activity detector (not shown), and the voice activity detector may notify tone energy estimation block  320  when a suitable quiet period occurs. Alternatively, a predetermined level of energy that the tone-like noise will not exceed may be defined. Any time signal  301  exceeds the predetermined level, system  300  may recognize that information besides noise (e.g., voice information) may be present in signal  301 . When the energy level of signal  301  is below a suitable predetermined level, a tacit assumption may be made that the dominant portion of signal  301  corresponds to tone-like noise. 
     Tone energy estimation block  320  may obtain its estimates of the energy contained in each of a number of tone-like noise components by utilizing notch filters. For example, tone energy estimation block  320  may target tone-like noise centered around a particular frequency. Tone energy estimation block  320  may make comparisons between filtered and unfiltered versions of signals  301  and/or  312  in order to estimate the energy contained in a particular tone-like noise component. Tone energy estimation block  320  may pass output signal  321  to tone suppression determination block  330 . Signal  321  may indicate whether any tone-like noise portions of signal  301  dominate. Alternatively, signal  321  may indicate what percentage of signal  301  corresponds to tone-like noise. 
       FIG. 4  shows an illustrative block diagram of a system for estimating the energy contained in a narrow frequency band. System  400  may include a notch filter block  410 , a signal power calculation block  420 , and a signal power calculation block  430 . In at least one embodiment, signal  401  can be an output signal of a band-pass filter. For illustrative purposes, system  400  may be one implementation of a portion of tone energy estimation block  320 . According to some embodiments, system  400  may be included as a part of tone energy estimation block  320 . In these embodiments, signal  401  may correspond to signal  312  (or a portion of signal  312 ) of  FIG. 3 . 
     Tone energy estimation block  320  may operate system  400  during suitable quiet periods. Notch filter block  410  may apply a notch filter to incoming signal  401 . For example, notch filter block  410  may apply notch filter  201  to signal  401  to target tone-like noise centered around a particular frequency  205 . Frequency  205  may correspond to any suitable frequency of an audio signal at which tone-like noise may be present. For example, frequency  205  may correspond to any one of frequencies  121 - 123 . Signal power calculation block  420  may calculate the energy in a filtered signal  411 . Similarly, signal power calculation block  430  may calculate the energy in signal  401 . The output signals  421  and  431  of signal power calculation blocks  420  and  430  may be compared (e.g., signal  421  may be subtracted from signal  431 ) via a comparator  440  to generate an output signal  402 . Tone energy estimation block  320  may compare signals  401  and  402  in order to estimate the amount of the overall energy of signal  401  that corresponds to the tone-like noise. For example, if the energy of signal  402  is very different from the energy of signal  401  (e.g., the energy of signal  402  is significantly less than the energy of signal  401 ), then the tone-like noise portion of signal  401  may dominate. Alternatively, if the energy of signal  402  is similar to the energy of signal  401 , then the tone-like noise in signal  401  may be dominated by other energy in signal  401 . 
     In some embodiments, tone energy estimation block  320  may operate system  400  multiple times. In these embodiments, the number of operation cycles can correspond to the number of filtered signals received from band energy estimation block  310 . Alternatively, tone energy estimation block  320  may employ several systems similar to system  400  concurrently. For example, tone energy estimation block  320  can employ a number of systems that correspond to the number of filtered signals received from band energy estimation block  310 . 
     Referring back to  FIG. 3 , according to some embodiments, tone energy estimation block  320  may be optional. In embodiments that do not include tone energy estimation block  320 , tone-like noise energies may be estimated using off-line experiments (e.g., experiments performed during the assembly of electronic device  800 ). In these embodiments, estimations of the tone-like noise energies obtained from the off-line experiments may be stored in tone suppression determination block  330 . 
     Tone suppression determination block  330  may receive signals  311  and  321 , and may use these signals to determine whether suppression of tone-like noise is necessary. For example, tone suppression determination block  330  may use the information about energy contained within a given band from signal  311  and compare it to the information about whether tone-like noise dominates the given band from signal  321 . Using these two pieces of information, tone suppression determination block  330  may determine the level of notch filtering required for the given band. For example, if an audio signal contains no information other than tone-like noise (e.g., a silent room), then a higher level of suppression may be necessary. Tone suppression determination block  330  may perform this determination for each of the bands indicated by signals  311  and  321 . Tone suppression determination block  330  may then pass information regarding the level of notch filtering required to notch level selector  340  via a signal  331 . 
     In certain bands, tone suppression determination block  330  may find that signal  301  effectively masks any undesirable noise and that no notch filtering may be required.  FIG. 5  shows an illustrative graph of signal  501  masking tone-like noise in region R in accordance with some embodiments. Signal  501  may represent the energy content over a certain critical band  531 . Signal  501  may be representative of a particular critical band of signal  301 . Within critical band  531 , tone-like noise may be present only in region R. Tone suppression determination block  330  may determine that signal  501  contains a sufficient amount energy in critical band  531  to hide any tone-like noise contained in region R. In these cases, tone suppression determination block  330  may determine that no notch filtering of signal  301  is required. 
     Notch level selector  340  may receive signal  331  from tone suppression determination block  330  and determine an appropriate notch filter for a given band of signal  301 . For example, an appropriate notch filter may correspond to any one of a family of notch filters as described with respect to  FIG. 2 . Notch level selector  340  may send signal  341  to notch filter bank  350  indicating which notch filters should be applied to signal  301 . In some cases, notch level selector  340  may indicate that no notch filtering is necessary. In this manner, notch filtering of signal  301  can be adaptive. 
     Notch filter bank  350  may receive signal  341  indicating a set of notch filters that should be applied to signal  301 . In response, notch filter bank  350  may apply the set of notch filters to signal  301  to produce output signal  302 . Notch filter bank  350  may contain any number of families of notch filters. For example, notch filter bank  350  may contain families of notch filters similar to those described above with respect to  FIG. 2 . 
       FIG. 6  is a block diagram of a system  600  for performing psychoacoustic adaptive notch filtering. System  600  can be employed as part of a generic noise suppressor. System  600  may be similar to system  300  in many respects and thus, may share any of the features described with respect to similarly numbered elements of system  300 . 
     System  600  may include a band energy estimator  610 , a tone energy estimator  620 , a suppression determination block  630 , a suppression level determination block  640 , a filter bank  650 , and a noise characteristic estimator  660 . 
     Band energy estimator  610  and tone energy estimator  620  may perform similar tasks as described with respect to band energy estimation block  310  and tone energy estimation block  320  of  FIG. 3 , respectively. 
     Noise characteristic estimator  660  may estimate the characteristics of any noise present in input signal  601 . For example, noise characteristic estimator  660  may be able to determine whether a given band of signal  601  contains noise-like noise or tone-like noise. To accomplish this task, noise characteristic estimator  660  may only operate during quiet periods as described with respect to tone energy estimation block  320  of  FIG. 3 . Noise characteristic estimator  660  may provide an output signal  661  to one or both of band energy estimator  610  and suppression determination block  630  to indicate the type of noise that signal  601  contains. 
     Suppression determination block  630  may operate in a similar way to tone suppression determination block  330  of  FIG. 3 , however, suppression determination block  630  may also account for signal  661  from noise characteristic estimator  660 . For bands that contain tone-like noise, suppression determination block  630  may operate identically to suppression determination block  330  of  FIG. 3 . In contrast, for bands that contain noise-like noise, suppression determination block  630  may operate more similarly to a traditional noise suppressor. For example, if a given critical band contains noise-like noise, suppression determination block  630  may determine whether the entire critical band requires suppression. Suppression determination block  630  may then pass this information to suppression level determination block  640  via signal  631 . 
     Suppression level determination block  640  may receive signal  631  from suppression determination block  630  and determine an appropriate filter for a given band of signal  601 . Suppression level determination block  640  may generally operate in a manner similar to notch level selector  340 . However, unlike notch level selector  340 , suppression level determination block  640  may choose between both notch filters and band pass filters. For example, for bands that contain tone-like noise, suppression level determination block  640  may operate identically to notch filter selector  340  of  FIG. 3 . In contrast, for bands that contain noise-like noise, suppression level determination block  640  may select an appropriate band pass filter. For example, an appropriate band pass filter may correspond to any one of a family of band pass filters that have similar pass bands, but varying filter depths (i.e., similar to a family of notch filters as described with respect to  FIG. 2 ). Suppression level determination block  640  may pass information to filter bank  650  via a signal  641 . 
     Filter bank  650  may receive signal  641 , which can indicate a set of filters that should be applied to signal  601 . Filter bank  650  may operate in a manner similar to notch filter bank  350 , except that filter bank  650  may contain both families of notch filters and families of band pass filters. In response to signal  641 , filter bank  650  may apply the set of filters to signal  601  to produce an output signal  602 . 
       FIG. 7  shows an illustrative process for performing psychoacoustic adaptive notch filtering. At step  701 , process  700  may receive an input signal. The input signal may be similar to any one of signals  101 ,  301 , and  601 . At step  702 , process  700  may determine whether tone-like noise is present in a particular critical band of the signal. This may be accomplished in a similar manner as described with respect to  FIGS. 3 and 6 . Alternatively, the determining can be accomplished using off-line experiments. If tone-like noise is not present in the signal in the particular critical band, process  700  may proceed to step  707 . Otherwise, process  700  may proceed to step  703 . At step  703 , process  700  may estimate an amplitude of the tone-like noise. This may be accomplished in a similar manner as described with respect to  FIGS. 3 and 6 . At step  704 , process  700  may estimate an amount of energy in the particular critical band. This may be accomplished in a similar manner as described with respect to  FIGS. 3 and 6 . At step  705 , process  700  may determine at least one suppression factor for the tone-like noise based on the estimated amplitude and energy. This may be accomplished in a similar manner as described with respect to  FIGS. 3 and 6 . If suppression factors are necessary (e.g., at least one suppression factor is required), process  700  may include selecting a notch filter based on the determined at least one suppression factor, at step  706 . This may be accomplished in a similar manner as described with respect to  FIGS. 3 and 6 . In at least one embodiment, more than one notch filter can be selected. At step  707 , process  700  may determine whether additional critical bands containing tone-like noise exist. For example, process  700  can use any one of band energy estimation block  310 , tone energy estimation block  320 , band energy estimator  610 , and tone energy estimator  620  to determine if there are additional critical bands. If so, process  700  may return to step  702 . Otherwise, process  700  may proceed to step  708 . At step  708 , process  700  may apply the selected notch filters to the input signal. 
       FIG. 8  is a schematic view of an illustrative electronic device in accordance with an embodiment. Electronic device  800  may contain one or more of systems  300  and  600  described with respect to  FIGS. 3 and 6 . Electronic device  800  may be any portable, mobile, or hand-held electronic device configured to present visible information on a display assembly wherever the user travels. Alternatively, electronic device  800  may not be portable at all, but may instead be generally stationary. Electronic device  800  can include, but is not limited to, a music player, video player, still image player, game player, other media player, music recorder, movie or video camera or recorder, still camera, other media recorder, radio, medical equipment, domestic appliance, transportation vehicle instrument, musical instrument, calculator, cellular telephone, other wireless communication device, personal digital assistant, remote control, pager, computer (e.g., desktop, laptop, tablet, server, etc.), monitor, television, stereo equipment, set up box, set-top box, boom box, modem, router, keyboard, mouse, speaker, printer, and combinations thereof. In some embodiments, electronic device  800  may perform a single function (e.g., a device dedicated to displaying image content) and, in other embodiments, electronic device  800  may perform multiple functions (e.g., a device that displays image content, plays music, and receives and transmits telephone calls). 
     Electronic device  800  may include a housing  801 , a processor or control circuitry  802 , memory  804 , communications circuitry  806 , power supply  808 , input component  810 , display assembly  812 , and microphones  814 . Electronic device  800  may also include a bus  803  that may provide a data transfer path for transferring data and/or power, to, from, or between various other components of device  800 . In some embodiments, one or more components of electronic device  800  may be combined or omitted. Moreover, electronic device  800  may include other components not combined or included in  FIG. 8 . For the sake of simplicity, only one of each of the components is shown in  FIG. 8 . 
     Memory  804  may include one or more storage mediums, including for example, a hard-drive, flash memory, permanent memory such as read-only memory (“ROM”), semi-permanent memory such as random access memory (“RAM”), any other suitable type of storage component, or any combination thereof. Memory  804  may include cache memory, which may be one or more different types of memory used for temporarily storing data for electronic device applications. Memory  804  may store media data (e.g., music, image, and video files), software (e.g., for implementing functions on device  800 ), firmware, preference information (e.g., media playback preferences), lifestyle information (e.g., food preferences), exercise information (e.g., information obtained by exercise monitoring equipment), transaction information (e.g., information such as credit card information), wireless connection information (e.g., information that may enable device  800  to establish a wireless connection), subscription information (e.g., information that keeps track of podcasts or television shows or other media a user subscribes to), contact information (e.g., telephone numbers and e-mail addresses), calendar information, any other suitable data, or any combination thereof. 
     Communications circuitry  806  may be provided to allow device  800  to communicate with one or more other electronic devices or servers using any suitable communications protocol. For example, communications circuitry  806  may support Wi-Fi™ (e.g., an 802.11 protocol), Ethernet, Bluetooth™, high frequency systems (e.g., 900 MHz, 2.4 GHz, and 5.6 GHz communication systems), infrared, transmission control protocol/internet protocol (“TCP/IP”) (e.g., any of the protocols used in each of the TCP/IP layers), hypertext transfer protocol (“HTTP”), BitTorrent™, file transfer protocol (“FTP”), real-time transport protocol (“RTP”), real-time streaming protocol (“RTSP”), secure shell protocol (“SSH”), any other communications protocol, or any combination thereof. Communications circuitry  906  may also include circuitry that can enable device  900  to be electrically coupled to another device (e.g., a computer or an accessory device) and communicate with that other device, either wirelessly or via a wired connection. 
     Power supply  808  may provide power to one or more of the components of device  800 . In some embodiments, power supply  808  can be coupled to a power grid (e.g., when device  800  is not a portable device, such as a desktop computer). In some embodiments, power supply  808  can include one or more batteries for providing power (e.g., when device  800  is a portable device, such as a cellular telephone). As another example, power supply  808  can be configured to generate power from a natural source (e.g., solar power using one or more solar cells). 
     One or more input components  810  may be provided to permit a user to interact or interface with device  800 . For example, input component  810  can take a variety of forms, including, but not limited to, a track pad, dial, click wheel, scroll wheel, touch screen, one or more buttons (e.g., a keyboard), mouse, joy stick, track ball, and combinations thereof. For example, input component  810  may include a multi-touch screen. Each input component  810  can be configured to provide one or more dedicated control functions for making selections or issuing commands associated with operating device  800 . 
     Electronic device  800  may also include one or more output components that may present information (e.g., textual, graphical, audible, and/or tactile information) to a user of device  800 . An output component of electronic device  800  may take various forms, including, but not limited, to audio speakers, headphones, audio line-outs, visual displays, antennas, infrared ports, rumblers, vibrators, or combinations thereof. 
     For example, electronic device  800  may include display assembly  812  as an output component. Display  812  may include any suitable type of display or interface for presenting visible information to a user of device  800 . In some embodiments, display  812  may include a display embedded in device  800  or coupled to device  800  (e.g., a removable display). Display  812  may include, for example, a liquid crystal display (“LCD”), a light emitting diode (“LED”) display, an organic light-emitting diode (“OLED”) display, a surface-conduction electron-emitter display (“SED”), a carbon nanotube display, a nanocrystal display, any other suitable type of display, or combination thereof. Alternatively, display  812  can include a movable display or a projecting system for providing a display of content on a surface remote from electronic device  800 , such as, for example, a video projector, a head-up display, or a three-dimensional (e.g., holographic) display. As another example, display  812  may include a digital or mechanical viewfinder. In some embodiments, display  812  may include a viewfinder of the type found in compact digital cameras, reflex cameras, or any other suitable still or video camera. 
     It should be noted that one or more input components and one or more output components may sometimes be referred to collectively as an I/O interface (e.g., input component  810  and display  812  as I/O interface  811 ). It should also be noted that input component  810  and display  812  may sometimes be a single I/O component, such as a touch screen that may receive input information through a user&#39;s touch of a display screen and that may also provide visual information to a user via that same display screen. 
     Processor  802  of device  800  may control the operation of many functions and other circuitry provided by device  800 . For example, processor  802  may receive input signals from input component  810  and/or drive output signals to display assembly  812 . Processor  802  may load a user interface program (e.g., a program stored in memory  804  or another device or server) to determine how instructions or data received via an input component  810  may manipulate the way in which information is provided to the user via an output component (e.g., display  812 ). For example, processor  802  may control the viewing angle of the visible information presented to the user by display  812  or may otherwise instruct display  812  to alter the viewing angle. 
     Microphones  814  can include any suitable number of microphones integrated within device  800 . The number of microphones can be one or more. 
     Electronic device  800  may also be provided with a housing  801  that may at least partially enclose one or more of the components of device  800  for protecting them from debris and other degrading forces external to device  800 . In some embodiments, one or more of the components may be provided within its own housing (e.g., input component  810  may be an independent keyboard or mouse within its own housing that may wirelessly or through a wire communicate with processor  802 , which may be provided within its own housing). 
     The systems and methods described herein may each be implemented by software, but may also be implemented in hardware, firmware, or any combination of software, hardware, and firmware. They each may also be embodied as machine-readable code recorded on a machine-readable medium. The machine-readable medium may be any data storage device that can store data that can thereafter be read by a computer system. Examples of the machine-readable medium may include, but are not limited to, read-only memory, random-access memory, flash memory, CD-ROMs, DVDs, magnetic tape, and optical data storage devices. The machine-readable medium can also be distributed over network-coupled computer systems so that the machine-readable code is stored and executed in distributed fashion. 
     The foregoing description, for purpose of explanation, has been described with reference to specific embodiments. However, the illustrative discussions above are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Many modifications and variations are possible in view of the above teachings. The embodiments were chosen and described in order to best explain the principles of the invention and its practical applications, to thereby enable others skilled in the art to best utilize the invention and various embodiments with various modifications as are suited to the particular use contemplated. It is understood that one or more features of an embodiment can be combined with one or more features of another embodiment to provide systems and/or methods without deviating from the spirit and scope of the invention. 
     Moreover, the previously described embodiments are presented for purposes of illustration and not of limitation. Those skilled in the art will appreciate that the invention can be practiced by other than the described embodiments, and the invention is limited only by the claims which follow.

Metadata:
Filing Date: 20130308
Publication Date: 20160705
Grant Date: 20160705
Priority Date: 20120608
Inventors: KRISHNASWAMY ARVINDH
RAMPRASHAD SEAN A.
Assignee: APPLE INC
CPC Classifications: [{"code": "G10L21/0324", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04R5/04", "inventive": false, "first": false, "tree": "[]"}, {"code": "H04R3/002", "inventive": true, "first": true, "tree": "[]"}, {"code": "H04R3/00", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04R5/04", "inventive": false, "first": false, "tree": "[]"}, {"code": "H04R5/04", "inventive": false, "first": false, "tree": "[]"}, {"code": "G10L21/0324", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04R3/002", "inventive": true, "first": true, "tree": "[]"}, {"code": "H04R3/00", "inventive": true, "first": true, "tree": "[]"}, {"code": "H04R3/00", "inventive": true, "first": false, "tree": "[]"}, {"code": "G10L21/0324", "inventive": true, "first": false, "tree": "[]"}]
Family ID: 49715332