Abstract:
Speech presence is detected by first bandpass filtering ( 141, 143, 145 ) the speech to split it into banks of sub-bands. A matrix of shift registers ( 150 ) store each sub-band of speech. A power determining circuit ( 259 ) then determines individual power measurements of the speech stored in each shift register element. A variance combining circuit ( 160 ) combines the individual power measurements to provide a variance for the individual shift registers. A comparator circuit ( 170 ) finally compares the variance with at least one threshold to indicate whether speech is detected.

Description:
BACKGROUND OF THE INVENTION 
     1. Technical Field 
     The present invention relates to speech detection and, more particularly, relates to improved approaches to efficiently detect speech presence in a noisy environment by way of frequency and temporal considerations. 
     2. Description of the Related Art 
     In some applications, automatic speech recognition needs to be activated by uttering a particular word sequence such as keywords. For example, if a desktop personal computer has a speech recognizer for dictation or command control, it is desirable to activate the recognizer in the middle of the conversations in his or her office by uttering a keyword. This process of recognizing the keyword from continuous speech waveform is called keyword scanning. This would require the recognizer constantly recognizing the incoming speech and spotting those keywords. Nevertheless, the recognizer cannot be used to constantly monitor the incoming speech because it takes huge computational resources. Some other techniques that demand much less computations and memories have to be utilized to reduce the burden of speech recognizer. It is known that speech detection techniques are ways of eliminating silence segments from speech utterances so that speech recognizer can be speed up and do not wasting a lot of time on those silences or even misrecognize silence as speech. Speech detection techniques are often based on the speech waveform and utilize features such as short-time energy, zero crossing and etc. The same can be used to hypothesize keyword if some other features such as pitch, duration and voicing can be used in junction with word end-pointing techniques. Although the keyword hypothesis will be over generated, it still can reduce a large proportion of computations since the recognizer will only process these hypotheses. 
     Most speech recognition applications today face the challenging task of segmenting speech based on voice, unvoice &amp; silence detection. A conventional approach is detecting short-term energy and zero crossings of a speech signal. These approaches are not reliable for noisy telephone speech signals due, in part, to the greater noise in a background environment of most telephone conversations. For example, stationary noise such as motor or wind noise and non-stationary noise such as door openings, closing or respiratory exhalation are present in telephone speech. 
     Accurate speech presence detection also conserves power and processing time for portable electronic devices such as cellular telephones. When reliable speech detection approaches are used, a speech recognition algorithm must find the utterances to determine if they are in fact language. This places a burden on computational complexity of processors and is a resource drain on portable electronic devices. A speech detection approach having computational efficiency as well as accuracy is needed. 
     SUMMARY OF THE INVENTION 
     The inventors of the present invention have discovered that there is a high variance associated with voiced speech such as vowels and the low variance associated with silences and wide-band noise. Speech presence can be efficiently detected in a noisy environment by way of frequency and temporal considerations using this variance. 
     Speech presence is detected by first bandpass filtering the speech to split it into banks of sub-bands. A matrix of shift registers secondly store each sub-band of speech. A power determining circuit then determines individual power measurements of the speech stored in each shift register element. A combining circuit combines the individual power measurements to provide a variance for the individual shift registers. A comparator circuit finally compares the variance with at least one threshold to indicate whether speech is detected. The present invention can be implemented by software in a microprocessor, digital signal processor or combinations with discrete components. 
     The details of the preferred embodiments of the invention will be readily understood from the following detailed description when read in conjunction with the accompanying drawings wherein: 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
         FIG. 1  illustrates a schematic block diagram of a time-frequency matrix and variance circuit for speech detection according to the present invention; 
         FIG. 2  illustrates a detailed schematic block diagram of one matrix element of  FIG. 1  for determining power measurements used in the speech detection according to the present invention; and 
         FIG. 3  illustrates a flow chart diagram for performing time-frequency matrix to detect speech according to the present invention. 
     
    
    
     DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS 
       FIG. 1  illustrates a schematic block diagram of the time-frequency matrix and variance circuit for speech detection according to the present invention. A microphone  110  gathers speech often in a noisy environment. In amplifier and analog to digital converter  120  amplifies and conditions the electrical speech signal received by the microphone  110  and converts the electrical speech signal to digital speech sampled in time. In the preferred embodiment, the digital speech is sampled at preferably an 8 kHz sampling frequency and stored in frames preferably having a 10 millisecond duration. A preemphasis circuit  130  operates on the digital speech to equalize its power spectrum to make its frequency spectrum more flat. A digital signal processing emphasis of 1-0.9 Z −1  is preferred to equalize the input signal and derive a preemphasized output signal. 
     Low band bandpass filter  141 , mid band bandpass filter  143  and high band bandpass filter  145  split the preemphasized digital speech signal into a bank of preferably three sub-bands. Although a bank of three sub-bands is preferred, two or more sub-bands will work depending on the level of processing power and degree of detection accuracy needed for a noisy environment. It is preferred that the bandpass filters  141 , 143  and  145  divide the speech signal into somewhat equal sub-bands between 100 Hz and 3,000 Hz as follows. The low band bandpass filter  141  preferably has a band between 100 Hz and 1267 Hz, the mid and bandpass filter  143  preferably has a bandpass between 1267 Hz and 2433 Hz. The high band bandpass filter  145  preferably has a bandpass between 2433 Hz and 3600 Hz. Different band widths can be used for each sub-band. 
     A matrix of shift registers  150  receives the three sub-bands from the bandpass filters  141 ,  143  and  145 . The shift registers  150  store each of the sub-bands and shifted to a next register location for each frame. In the preferred embodiment a total of three frames are stored in the shift registers, thus creating a three-by-three matrix Y ij  consisting of matrix elements Y 11 , Y 12 , Y 13 , Y 21 , Y 22 , Y 23 , Y 31 , Y 32  and Y 33 . This matrix stores the speech information by way of both frequency and temporal considerations. Each of the three-by-three matrix elements contains sub-registers  250  for storing multiple samples k within a frame. For each of the register memories of the shift registers  150 , a power measurement X ij  is derived from the contents of the sub-registers. The calculation of the power measurements X ij  for each sub-band over a frame i within a preferred 10 ms frame duration is performed by 
     
       
         
           
             
               
                 
                   
                     X 
                     ij 
                   
                   = 
                   
                     
                       ∑ 
                       k 
                     
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                       s 
                       ijk 
                       2 
                     
                   
                 
               
               
                 
                   ( 
                   1 
                   ) 
                 
               
             
           
         
       
         
         
           
             wherein i is the frame index; 
             wherein j is a frequency sub-band index; 
             wherein k is the sample index within a frame; and 
             wherein S ijk  is the speech samples for a given frame index i, a given frequency sub-band j and a given sample index k. 
           
         
       
    
     The calculations of the power measurements X ij  are preferably calculated within each of the matrix elements Y ij  of the shift register  150 . The power measurement calculation sums the squares of each of the power samples for a particular sub-band over time. More detail for the preferred calculation of the power measurement for a sub-band across a number of samples in the shift register elements will later be described with reference to  FIG. 2  in more detail. Alternatively, a variance combining circuit  160  can be performed calculations of the power measurements. 
     The inventors of the present invention have discovered there is a high variance associated with voiced speech such as vowels and the low variance associated with silences and wide-band noise. A variance is a mathematical relationship known in digital speech processing as defined in elementary digital signal processing textbooks as such as  Digital Communications , equations 1.1.65 or 1.1.66, by Proakis on page 17, published in 1989. The present invention applies a variance to a time-frequency power measurement to detect speech presence. 
     A variance combining circuit  160  calculates the variance of the plurality of power measurements for each sub-band and each frame. Calculating the variance VAR of the plurality of power measurements X ij  for each sub-band j for each frame index i is calculated by 
     
       
         
           
             
               
                 
                   VAR 
                   = 
                   
                     
                       
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                           X 
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                       n 
                     
                     - 
                     
                       
                         ( 
                         
                           
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                               X 
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                           n 
                         
                         ) 
                       
                       2 
                     
                   
                 
               
               
                 
                   ( 
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             wherein i is the frame index; 
             wherein j is a frequency sub-band index; 
             wherein X ij  is the power for a given time sample index i and a given frequency sub-band j. 
           
         
       
    
     A comparator  170  compares the variance VAR with a threshold to determine whether or not the presence of speech is detected. When the variance is above the threshold, the presence of speech is detected, and a speech detection indication signal  180  is output. The threshold is preferably a fixed level however a variable threshold under certain conditions will yield more favorable results. A variable threshold can depend on determined by using an average of the past history of non-speech frames. Further, multiple thresholds can be implemented, one for clearly speech, one for clearly unspeech. A decision is made upon a transition over either of these thresholds. 
     The presence of speech indicated by the speech detection indication signal  180  can be used to gate on and off a speech recognition unit. The detection of the presence of speech is useful to gate and off a speech recognition unit so that the speech recognition unit does not need to operate continuously. This saves processing time that can be used for other purposes and/or conserves power, which reduces battery consumption in a portable electronic device. When a speech recognition circuit is present in a portable electronic device such as a cellular telephone, battery savings are achieved by freeing up the processor for other functions when speech presence is accurately determined. Also, the speech presence detection circuit does not require full activation of a recognition code so its more efficient. Reduction of miss-recognition is also achieved when using better speech presence accuracy. The speech detection indications are also useful for other devices such as speaker phones. 
       FIG. 2  illustrates a detailed schematic block diagram of the preferred construction of a plurality of sub-registers  250  and a power calculation circuit  259  for determining power measurements used in the speech detection according to the present invention. The preferred calculation of the power measurement for a sub-band, across a number of samples in one matrix element, is illustrated. The a plurality of sub-registers  250  and a power calculation circuit  259  are within one of the nine three-by-three matrix elements Y ij  illustrated in  FIG. 1 . A plurality  250  of sub-register elements  251 ,  252 ,  253  through  255  receive the filtered sub-band speech from a bandpass filter of  FIG. 1 . Each sub-register element contains a speech sample S ijk  for a given time and frequency sub-band. Sub-register element  251  corresponds to a first sample index k=1 within a frame for a given frame i and sub-band j. Sub-register element  252  corresponds to a second sample index and sub-register element  253  corresponds to a third sample index. A total of up to n sample indexes k are possible. 
     A power calculation circuit  259  calculates the average power among the sub-register elements for the given frame i and sub-band j. The average power X ij  is calculated using the above equation (1). Each power calculation circuit  259  corresponds to one of the shift register elements in the matrix of  FIG. 1 . The output of the power calculation circuit  259  connects to the variance combining circuit  160  of  FIG. 1 . 
       FIG. 3  illustrates a flow chart diagram for performing time-frequency matrix to detect speech according to the present invention. In step  310 , speech is received, often in a noisy environment. In step  320  the received speech is preemphasized to improve recognition accuracy by equalizing the power spectrum of the speech signal to flatten its frequency spectrum. In step  330  to the speech is bandpass filtered into sub-bands. A power calculation is made in step  340  for the various samples over the various sub-bands. A power calculation is made in step  342  over the samples for the various sub-bands after delaying one frame in step  341 . A power calculation is made in step  344  over the samples for the various sub-bands after delaying to frames in step  343 . In step  350 , a variance is calculated using the power calculations derived above over frequency and over time. This variance is compared in step  360  with at least one threshold  370  to indicate that speech presence is detected at output  380  when the variance is above the threshold. 
     The signal processing techniques of the present invention disclosed herein with reference to the accompanying drawings are preferably implemented on one or more digital signal processors (DSPs) or other microprocessors. Nevertheless, such techniques could instead be implemented wholly or partially as discrete components. Further, it is appreciated by those of skill in the art that certain well known digital processing techniques are mathematically equivalent to one another and can be represented in different ways depending on the choice of implementation. For example the square of the terms in the variance calculation and/or power calculation can be substituted for absolute values without affecting the results. 
     Although the invention has been described and illustrated in the above description and drawings, it is understood that this description is by example only, and that numerous changes and modifications can be made by those skilled in the art without departing from the true spirit and scope of the invention. Although the examples in the drawings depict only example constructions and embodiments, alternate embodiments are available given the teachings of the present patent disclosure.