Noise reducing microphone apparatus

Abstract: A noise reducing microphone apparatus having an adaptive noise canceller (6) which has a primary input and a reference input and in which the reference signal is passed through an adaptive filter (9) and subtracted from the primary input. The adaptive filter (9) is adaptively controlled by an output signal resulting from the subtraction. The apparatus has a pair of microphone units (1,2) disposed in close locations, a vibration detecting means (31); and adding and subtracting means (5) for performing subtraction of outputs from the pair of microphone units and addition of the output from the vibration detecting means. An output from one of the microphone units (1,2) is supplied as the primary input signal of said adaptive noise canceller (6). A differential output from the adding and subtracting means (5) is supplied as the reference input signal of the adaptive noise canceller.

Description: This invention relates to a noise reducing microphone apparatus and, in particular, to such an apparatus for reducing noise components in microphone outputs. Most of microphones are configured to convert changes in sound pressure of an acoustic wave to mechanical vibration of a diaphragm and to activate an electro-acoustic transducer system on the basis of the vibration. Therefore, if a factor affects the diaphragm when sound is picked up by the microphone, a noise is produced. If the factor is wind, a noise by wind (hereafter referred to as a wind noise) is produced, and if the factor is vibration, a noise by vibration (hereafter referred to as a vibration noise) is produced. There are, for example, the following existing techniques for reducing a wind noise: (1) the use of a windscreen (2) the use of an electro-acoustic high pass filter (3) the use of an arrangement representing a non-directional property in low sound ranges There are, for example, the following existing techniques for reducing a vibration noise: (1) the use of a vibration isolating mechanism (2) the use of a non-directional microphone element (3) an analog noise-canceling method The above-mentioned existing techniques for reducing a wind noise involve the following problems: (1) In the case where a windscreen is used, in general, as the outer dimension of the windscreen increases and as the distance between the microphone and the inner wall of the windscreen increases, a wind noise decreases. However, the size of the microphone apparatus increases. (2) Since a wind noise mainly consists of low band components, it is certainly effective for the wind noise to cut the low band components by using a high pass filter. However, since low band components of the sound itself are also cut in addition to the wind noise, the sound pickup quality is decreased. (3) With a non-directional microphone, in comparison with a directional microphone, the level of a wind noise decreases more. Practically, however, because of affection by a casing surrounding the microphone, the noise is not decreased to a sufficiently low level only by employing an "arrangement representing a non-directional property in low sound ranges". Therefore, under the present circumstances where both a smaller dimension of a device including a microphone and a higher sound pickup quality of the microphone are desired, more reduction of a wind noise is difficult only with the existing techniques. This also applies to a vibration noise. On the other hand, as a technique for eliminating a noise incorporated into a signal, an adaptive noise cancelling has been known (B Windrow et al "Adaptive noise cancelling: principles and applications" Proc IEEE, Vol 63, No 12, pp 1692-1716, Dec 1975). According to the technique, it is necessary to supply noise components which are strongly correlated with a noise to be eliminated as a reference input signal. However, it is very difficult in a small apparatus to supply only noises such as a wind noise which is received from the same direction as necessary sounds and so on to a reference input. Adaptive noise cancelling systems are disclosed in US-A-4 956 867 and US-A-4 912 387. The system disclosed by US-A-4 956 867 is in accordance with the precharacterising portion of claim 1 in which the outputs of two microphones are subtracted and adaptively filtered to produce a signal which can be subtracted from a primary signal, constituted by the sum of the outputs of the two microphones, to increase the signal to noise ratio. US-A-4 912 387 discloses a vibration reduction system which uses an adaptive filter. EP-A2-452 103 discloses a noise reducing system in which a motor control signal or a vibration signal picked-up from the motor is supplied as the reference signal for an adaptive filter and the result subtracted from the microphone signal. The filter is controlled by the result of the subtraction. EP-A2-430 513 discloses a noise reducing system which uses high and low pass filtered signals from respectively uni- and non-directional microphones to reduce noise. An aim of the preferred embodiments of the present invention is to provide a noise reducing microphone apparatus that can have a small-scale and can reliably eliminate a wind noise and a vibration noise, and so on. According to the invention there is provided a noise reducing microphone apparatus having an adaptive noise canceller which has a primary input and a reference input and in which the reference input signal is, in use, passed through an adaptive filter and then subtracted from the primary input, the adaptive filter being, in use, adaptively controlled, comprising: a pair of microphone units disposed in close locations; characterised by: vibration detecting means for detecting vibration given to said pair of microphone units from the outside; adding and subtracting means for performing subtraction of outputs from said pair of microphone units and for performing addition of an output from said vibration detecting means, an output of said adding and subtracting means being supplied as the reference input signal of said adaptive noise canceller, an output from one of said microphone units being supplied as the primary input signal of said adaptive noise canceller; and the adaptive filter being adaptively controlled by an output signal resulting from the subtraction of the filtered reference input signal from the primary input. Outputs from a pair of microphones disposed in close locations originally include an audio signal component and a noise component (noise component caused by wind). These outputs from the microphones undergo subtraction. As a result, the output from one of the microphones includes the audio signal component and the noise component and a differential output from the pair of microphones include only a noise component. The output including the audio component and the noise component is used as the primary input while the differential output including only the noise component is used as the reference input. The reference input is adaptively processed to equalise with the noise component in the primary input. The adaptively processed reference input is subtracted from the primary input. As a result, only the noise component is cancelled from the primary input, and the audio signal component can be output in the original form. The invention will now be described by way of example only, with reference to the accompanying drawings, in which:- Figure 1 is a block diagram of a noise cancelling system given for explanation. Figure 2 is a block diagram of an arrangement of an adaptive filter; Figure 3 is a diagram showing the frequency spectrum of a wind noise component; Figure 4 is a diagram showing the rate of correlation of wind noise components picked up by a pair of microphones; Figure 5 is a diagram showing an example of a differential output of the wind noise components picked up by the pair of microphones; Figure 6 is a waveform diagram showing the noise reducing effects; Figure 7 is a block diagram showing a first modification of the above system; Figure 8 is a block diagram of a modification of the above system; Figure 9 is a block diagram of an embodiment of the invention; and Figure 10 is a block diagram of a modification of the embodiment of Figure 9. A noise reducing system will be described with reference to Figures 1 to 8 which, while not within the terms of claim 1, is helpful to understand the embodiments of the invention shown in Figures 9 and 10. As shown in Figure 1, a pair of microphones 1 and 2 disposed in close locations detect ambient sound together with a wind noise, and output it in the form of an electrical signal. Since the microphones 1 and 2 are disposed in close locations, the same sound and wind noise are detected, and they are output in the form of electrical signals. Figure 3 shows an example of a frequency spectrum of a wind noise component included in the outputs from the microphones 1 and 2. It is known from Figure 3 that the wind noise mainly consists of low band components. The microphones 1 and 2 may be oriented in the same direction or, alternatively, they may be oriented in the opposite directions if the distance between the microphones 1 and 2 is within the wavelength defined by the frequency of a desired signal. An electrical signal output from the microphone 1 is supplied to an A/D converter 3 while an electrical signal output from the microphone 2 is supplied to an A/D converter 4. The A/D converters 3 and 4 convert the electrical signals supplied from the microphones 1 and 2 to digital signals. The digital signal converted by the A/D converter 3 is used as a primary input expressed by (S + n). The digital signal converted by the A/D converter 4 is expressed by (S + (n*)). In the digital signals, S represents the audio signal component while n and (n*) represents the wind noise component. The noise component n has an additive property while the noise component (n*) is correlative with the noise component n in the primary input (S + n). The primary input (S + n) is supplied to a delay circuit 7 provided in an adaptive noise canceller 6. The primary input (S + n) is also supplied to an adder 5. In addition, an output of the A/D converter 4 is supplied to the adder 5. The adder 5 adds the primary input (S + n) to the output of the A/D converter 4 attached with a negative sign, that is, [-(S + (n*))]. Since the audio signal components S have sufficiently long wavelengths, they have substantially the same phase in the near place. Therefore, the audio signal components S are eliminated by executing subtraction. Accordingly, a reference input expressed by (n - (n*)) is created. Explained below is creation of the reference input (n - (n*)). Fig. 4 shows an example of coherence of the wind noise component generated in the pair of microphones 1 and 2. It has been known, as shown in Fig. 4, that, in general, wind noise components produced in two acoustic terminals represent a low correlation even in the near place. Therefore, a difference between outputs from the microphones 1 and 2 does not become zero, and creation of the reference input (n - (n*)) is possible. Fig. 5 shows a frequency spectrum of the reference input (n - (n*)). The reference input (n - (n*)) is supplied to an adaptive filter 9 in the adaptive noise canceller 6. The delay circuit 7 in the adaptive noise canceller 6 outputs the primary input (S + n) after a delay of a predetermined time. The amount of the delay is equivalent to a time delay required for computation for adaptive processing or to a time delay in the adaptive filter 9, and so on, and can be set adequately in accordance with the arrangement of a system. The primary input (S + n) which has passed the delay circuit 7 is supplied to an adder 8. The adder 8 executes addition of the output from the delay circuit 7 and a signal Y attached with a negative sign and output from the adaptive filter 9 which will be described later. The signal Y, as explained later, is a component analogous to the noise component n in the primary input (S + n). Therefore, the signal Y, which is a component analogous to the noise component n, is subtracted from the primary input (S + n) by the adder 8, and the audio signal component S remains. In other words, the noise component n in the primary input (S + n) is minimized. The audio signal component S is supplied to a D/A converter 10 and also fed back to the adaptive filter 9. The audio signal component S expressed in the form of a digital signal is converted to an analog signal by the D/A converter 10, and it is taken out from a terminal 11. Fig. 6 shows a result of noise reduction by the foregoing system. Fig. 6 illustrates the main input (S + n), that is, the output from the microphone 1, shown by a solid line, and a system output, that is, the output from the adaptive noise canceller 6, by a broken line. A sine wave of 500 Hz which is a pseudo representation of the audio signal component S is added. It is known from Fig. 6 that the decrease of the level of the signal (broken line in Fig. 6), which is the output from the adaptive noise canceller 6, is remarkable as compared with the level of the noise component n (solid line in Fig. 6) in the output from the microphone 1. It is also known that the sine wave of 500 Hz maintains its level regardless of the presence or absence of the adaptive noise canceller 6. Explained below is operation of the adaptive filter 9 of the adaptive noise canceller 6. The adaptive filter 9 creates the signal Y as a component analogous to the noise component n in the primary input (S + n). That is, its filtering characteristic is automatically adjusted from time to time so that the output from the adaptive noise canceller 6 resembles the audio signal component S in the primary input (S + n). An adaptive linear coupler of an FIR filter type shown in Fig. 2 is used as the adaptive filter 9. In the construction of Fig. 2, DL1 to DLL denote delay circuits, and MP1 to MPL denote coefficient multipliers. Reference numeral 16 refers to an adder, and 15 and 17 to input/output terminals. [Z -1 ] in the delay circuits DL1 to DLL represents a delay of a unit sampling time, and W nk supplied to the coefficient multipliers MP1 to MPL represents a weighting coefficient. If the weighting coefficient W nk is fixed, the filter behaves as a normal FIR digital filter. Explained below is an algorithm for adaptively activating the adaptive filter 9. Although various algorithms may be used for computation in the adaptive filter 9, the following explanation is directed to LMS (least mean square), which is practical and often used because of a relatively less amount of computation: If an input vector X k is expressed by: X k = [X k X k-1 X k-2 ... X k-L ] an output Y k from the adaptive filter 9 is given by: Let an output from the delay circuit 7 be d k , then its differential output [residual output] is: ε k = d k - X k T W k By the LMS (least mean square) method, renewal of the weighting vector W k is performed in accordance with the following equation: W k+1 = W k + 2µε k X k µ in the foregoing equation is a gain factor determining the speed and stability of the adaptation, which is so called a step gain. By renewing the weighting vector from time to time as explained above, the device behaves to minimize the output power of the system. This operation is explained below in a formulated manner. When the delay circuit 7 is disregarded for simplification, the differential output ε from the adder 8 is: ε = S + n - Y An expected value of square of (ε) is expressed by: E[ε 2 ] = E[S 2 ] + E[(n - Y) 2 ] + 2E[S(n - Y)] Since S is not correlative with n and Y, in the above equation, E[S(n - Y)] = 0 Therefore, the expected value E[ε 2 ] of square of (ε) is expressed by: E[ε 2 ] = E[S 2 ] + E[(n - Y) 2 ] Although the adaptive filter 9 is adjusted to minimize E[ε 2 ], E[S 2 ] is not affected. As a result, Emin[ε 2 ] = E[S 2 ] + E[(n - Y) 2 ] Since E[S 2 ] is not affected, minimization of E[ε 2 ] means minimization of E[(n - Y) 2 ]. Therefore, the output Y of the adaptive filter 9 is an optimum estimated value of least square of [n]. When E[(n - Y) 2 ] is minimized, E[(ε - S) 2 ] is also minimized because[ε - S = n - Y]. Therefore, minimization of the entire output power by adjusting the adaptive filter 9 is equivalent to making the differential output ε be an optimum estimated value of least square of the audio signal component S. The differential output ε, in general, includes a certain amount of noise component in addition to the audio signal component S. Since the noise component output is defined by (n - Y), minimization of E[(ε - Y) 2 ] is equivalent to maximization of signal-to-noise ratio of the output. Fig. 7 shows a first modification of the foregoing system. The first modification is based on the frequency spectrum of a wind noise component being concentrated in low bands. Circuit elements common to those in the foregoing system are labelled with the same reference numerals and their redundant explanation is omitted. The first modification is different from the foregoing system in that a line 23 connecting the output of the microphone 1 to the terminal 11 is provided and that a high pass filter 22 is interposed in the line 23. Further, low pass filters 21 are interposed between the microphones 1,2 and the A/D converters 3,4, when necessary. The low pass filter 21 may be interposed between the terminal 11 and the D/A converter 10 in the output site of the system, and the other terminal of the line 23 may be coupled between the low pass filter 21 and the terminal 11. This arrangement makes it possible to obtain an audio signal component S which is a mixture of a low band audio signal component S L , in which the wind noise component has been reduced by the adaptive noise canceller 6, and a high band audio signal component S H , which is obtained from the microphone 1 through the high pass filter 22 and from which the wind noise component has been cut. The other arrangements, their operation and effects are equal to those of the foregoing system, and their redundant explanation is omitted. Figure 8 shows a second modification of this system. The second modification is different from the foregoing system in that the adder 5 is replaced by an analog adder 25 and that the analog adder 25 is located between the microphones 1,2 and the A/D converters 3,4. That is, a reference input in analog form. The other arrangements, their operations and effects are equal to those of the foregoing system. Elements common to the foregoing system, are therefore labelled with the same reference numerals, and their redundant explanation is omitted. According to the system above, the primary input (S+n) and the reference input (n-(n*)) are created on the basis of the outputs from the pair of microphones 1 and 2 disposed in close locations. In the adaptive filter 9, the signal Y analogous to the noise component n in the primary input (S+n) is created on the basis of the reference input (n-(n*)). By subtracting the signal Y from the primary input (S+n) by the adder 8, the noise component n is cancelled, and the audio signal component S is output. Therefore, by using a pair of normal microphones 1 and 2, a wind noise component can be cancelled without using a windscreen. In addition, since the microphones 1 and 2 are disposed in close locations, the embodiment contributes to scale reduction of the apparatus. In regard of cancellation of a wind noise component, since no electroacoustic high pass filter is required, deterioration of the sound pickup quality is prevented. Moreover, since the adaptive noise canceller 6 is used, the characteristic of the adaptive filter 9 is automatically renewed, regardless of changes in the wind noise characteristic (for example level or spectral distribution and so on), and the wind noise component can be reduced in a stable manner. Figures 9 and 10 show an embodiment of the invention. The embodiment is different from the foregoing system in that not only a wind noise but also a vibration noise caused by vibrations are taken into consideration. That is, as shown in Figure 9, there are provided a vibration sensor 31 for detecting vibrations and an A/D converter 32 for converting an analog output from the vibration sensor 31 into a digital signal. The adder 5 shown in the previous systems is replaced by an adder 33 which can perform addition and subtraction of three inputs. Elements common to those of the foregoing systems, are labelled with the same reference numerals, and their redundant explanation is omitted. Outputs from the microphones 1 and 2 respectively include an audio signal component S and a noise component including a wind noise and a vibration noise. An electrical signal output from the microphone 1 is supplied to the A/D converter 3 and converted into a digital signal by the A/D converter 3. As a result, a primary input is created. The primary input is supplied to the delay circuit 7 in the adaptive noise canceler 6. The primary input is also supplied to the adder 33. An electrical signal output from the microphone 2 is supplied to the A/D converter 4 and converted into a digital signal by the A/D converter 4. The digital signal is supplied to the adder 33. A vibration component detected by the vibration sensor 31 is converted into a digital signal by the A/D converter 32. The digital signal is supplied to the adder 33. The adder 33 adds outputs from the A/D converters 3 and 32 to the output from the A/D converter 4 attached with a negative sign. As a result of the addition and subtraction, the audio signal component S is eliminated, and a noise component consisting of the wind noise and the vibration noise is created for use as a reference input. After this, a signal Y is created on the basis of the reference input. The signal Y is subtracted from the primary input by the adder 8, which results in cancelling the noise component consisting of the wind noise and the vibration noise, and the audio signal component S is output. Excepting that the noise component consists of the wind noise and the vibration noise and that both the wind noise and the vibration noise can be cancelled, the operations and effects are otherwise equal to those of the foregoing systems and their redundant explanation is omitted. Figure 10 shows a modification of the above embodiment. This modification is different in that the adder 33 is replaced by an analog adder 35 and that the analog adder 35 is located between the microphone 2 and the A/D converter 4. Since the other arrangements, their operations and effects are equal to those of the above embodiment and the second modificaiton of the earlier described system, common elements are labelled with the same reference numerals, and their redundant explanation is omitted. Although not illustrated, the same arrangements as those of the first modification of the earlier described system may be employed with the invention. Thus, the invention has, in addition to the features of the earlier described system, the arrangement in which vibrations are detected by the vibration sensor 31, and the vibration component detected by the vibration sensor 31 is supplied to the adder 33. Therefore, the reference input consisting of the wind noise and vibration noise is created. On the basis of the reference input, the adaptive filter 9 creates the signal Y analogous to the noise component in the primary input. When the signal Y is subtracted from the primary input by the adder 8, the noise component is cancelled, and the audio signal component S is output. Therefore, the invention allows the cancellation of the vibration noise component, and can realise an excellent sound pickup quality with a single processing system without preparing different processing systems for different kinds of noises. The invention has been explained as being directed to a noise component consisting of a wind noise and a vibration noise. However, it is not limited to this, but may target only a vibration noise. The noise reducing device described above is applicable to various kinds of recording systems. For example, they are applicable to a small-scaled portable video camera apparatus to detect and eliminate vibrations caused by a user, vibrations caused by mechanical systems, and so on in addition to a wind noise. Further, the pair of microphones 1 and 2 used in the embodiments may be either directional or non-directional. Having described specific preferred embodiments of the present invention with reference to the accompanying drawings, it is to be understood that the invention is not limited to those precise embodiments,and that various changes and modifications may be effected therein by one skilled in the art without departing from the scope of the invention as defined in the appended claims. The noise reducing microphone apparatus described above has the effect that a wind noise component can be cancelled without using a windscreen. Close positional relationship between the pair of microphones contributes to scale reduction of the apparatus. Because of no electro-acoustic high pass filter or the like being required, deterioration of the sound pickup quality is prevented. Further, the use of the adaptive noise canceller gives the effect that the characteristic of the adaptive filter is automatically renewed, regardless of a change in the nature of a wind noise (for example, level or spectral distribution, etc.), and the wind noise component is stably reduced. In addition, a vibration noise component can be cancelled. Further, an excellent sound pickup quality can be realized with a single processing system without using different processing systems for different kinds of noises.

Claims: A noise reducing microphone apparatus having an adaptive noise canceller (6) which has a primary input (S+n) and a reference input and in which the reference input signal (n-n*) is, in use, passed through an adaptive filter (9) and then subtracted from the primary input, the adaptive filter (9) being, in use, adaptively controlled, comprising: a pair of microphone units (1,2) disposed in close locations; characterised by: vibration detecting means (31) for detecting vibration given to said pair of microphone units (1,2) from the outside; adding and subtracting means (33) for performing subtraction of outputs from said pair of microphone units (1,2) and for performing addition of an output from said vibration detecting means (31), an output of said adding and subtracting means (33) being supplied as the reference input signal of said adaptive noise canceller (6), an output from one of said microphone units (1,2) being supplied as the primary input signal of said adaptive noise canceller (6); and the adaptive filter (9) being adaptively controlled by an output signal resulting from the subtraction of the filtered reference input signal from the primary input. A noise reducing microphone apparatus according to claim 1, further comprising analog-to-digital conversion means (3,4) for converting the output of the microphone units (1,2) before said subtraction in said subtracting means (33). A noise reducing microphone apparatus according to claim 1, further comprising analog-to-digital conversion means (3,4) for converting the primary input (S+n) and reference input signal (n-n*) and inputting the converted signals to the adaptive noise canceller (6). A recording system including a noise reducing microphone apparatus as claimed in any of the preceding claims. A video camera including a noise reducing microphone apparatus as claimed in any of claims 1 to 3.

Inventors: OHKUBO MASASHI, SASAKI TOORU, OHKUBO, MASASHI, SASAKI, TOORU, OHKUBO, MASASHI, C/O SONY CORPORATION, SASAKI, TOORU, C/O SONY CORPORATION
Applicants: SONY CORP, SONY CORPORATION
Application year: 1992
Main classification: H04R3
IPC codes: H04R1, H04R3