MICROPHONE AND VOICE ACTIVITY DETECTION (VAD) CONFIGURATIONS FOR USE WITH COMMUNICATION SYSTEMS
Communication systems are described, including both portable handset and headset devices, which use a number of microphone configurations to receive acoustic signals of an environment. The microphone configurations include, for example, a two microphone array including two unidirectional microphones, and a two-microphone array including one unidirectional microphone and one omnidirectional microphone. The communication systems also include Voice Activity Detection (VAD) devices to provide information of human voicing activity. Components of the communications systems receive the acoustic signals and voice activity signals and, in response, automatically generate control signals from data of the voice activity signals. Components of the communication systems use the control signals to automatically select a denoising method appropriate to data of frequency subbands of the acoustic signals. The selected denoising method is applied to the acoustic signals to generate denoised acoustic signals when the acoustic signal includes speech and noise.
1 . (canceled)
2 . A system, comprising:
a voice activity detection system configured to generate a control signal indicating whether speech is occurring;
a first microphone configured to generate a first signal comprising a speech signal and a noise signal;
a second microphone configured to generate a second signal comprising the speech signal and the noise signal; and
a denoising system configured to receive the control signal, the first signal and the second signal, and to generate a denoised signal using a plurality of filters, each of the plurality filters configured to process a frequency subband of the second signal.
3 . The system of claim 2 , wherein the denoising system is further configured to generate a plurality of first subband signals based on the first signal and a plurality of second subband signals based on the second signal, to generate a plurality of subband noise signals based on the plurality of second subband signals using the plurality of filters, to generate a plurality of subband denoised signals based on the plurality of first subband signals and the plurality of subband noise signals, and to generate the denoised signal using the plurality of subband denoised signals.
4 . The system of claim 2 , wherein the denoising system is further configured to subtract the plurality of subband noise signals from the plurality of first subband signals to generate the plurality of subband denoised signals.
5 . The system of claim 2 , wherein the plurality of filters comprises a plurality of transfer functions associated with the noise signal and the second signal.
6 . The system of claim 2 , wherein one of the plurality of filters uses a least mean squares (LMS) algorithm.
7 . The system of claim 2 , wherein one of the plurality of filters is an adaptive FIR filter.
8 . The system of claim 2 , wherein the denoising system further comprises another filter, the another filter comprising a transfer function associated with the speech signal and the first signal.
9 . The system of claim 8 , wherein the another filter is static.
10 . The system of claim 2 , wherein the first microphone and the second microphone are within 15 centimeters of each other.
11 . The system of claim 2 , wherein the first microphone is a unidirectional microphone and the second microphone is an omnidirectional microphone.
12 . The system of claim 2 , wherein the first microphone is an omnidirectional microphone and the second microphone is a unidirectional microphone.
13 . The system of claim 2 , further comprising a headset comprising a sensor, the first microphone, the second microphone and a speaker, and wherein:
the headset is configured to be in data communication with the voice activity detection system and the denoising system; and
the voice activity detection system comprises the sensor.
14 . The system of claim 2 , further comprising a handset comprising a sensor, the first microphone, the second microphone and a speaker, and wherein:
the handset is configured to be in data communication with the voice activity detection system and the denoising system; and
the voice activity detection system comprises the sensor.
15 . A method, comprising:
receiving a control signal indicating whether speech is occurring from a voice activity detection system;
receiving a first signal comprising a speech signal and a noise signal from a first microphone;
receiving a second signal comprising the speech signal and the noise signal from a second microphone; and
generating a denoised signal based on the control signal, the first signal, and the second signal using a plurality of filters, each of the plurality filters configured to process a frequency subband of the second signal.
16 . The method of claim 15 , further comprising:
generating a plurality of first subband signals based on the first signal and a plurality of second subband signals based on the second signal;
generating a plurality of subband noise signals based on the plurality of second subband signals using the plurality of filters;
generating a plurality of subband denoised signals based on the plurality of first subband signals and the plurality of subband noise signals; and
generating the denoised signal using the plurality of subband denoised signals.
17 . The method of claim 15 , further comprising subtracting the plurality of subband noise signals from the plurality of first subband signals to generate the plurality of subband denoised signals.
18 . The method of claim 15 , wherein the plurality of filters comprises a plurality of transfer functions associated with the noise signal and the second signal.
19 . The method of claim 15 , wherein one of the plurality of filters uses a least mean squares (LMS) algorithm.
20 . The method of claim 15 , wherein one of the plurality of filters is an adaptive FIR filter.
21 . The method of claim 15 , wherein the first microphone and the second microphone are within 15 centimeters of each other.