Voice activity detector (VAD)—based multiple-microphone acoustic noise suppression

• US 9,196,261 B2
• Filed: 02/28/2011
• Issued: 11/24/2015
• Est. Priority Date: 07/19/2000
• Status: Expired due to Term

• Current Assignee: JAWB Acquisition LLC
• Original Assignee: AliphCom, Inc. (AliphCom Corp.)
• Inventors: Burnett, Gregory C., Breitfeller, Eric F.
• Primary Examiner(s): Zhang, Leshui
• Application Number:
  US13/037,057
• Publication Number:
  US 20120059648A1
• Time in Patent Office: 1,730 Days
• Field of Search: 381/94.7, 381/70, 381/94.1, 381/94.2, 381/94.3, 381/71.8, 381/91, 381/92, 381/95, 381/122, 381/10, 381/26, 381/66, 381/317, 381/318, 381/321, 381/71.1, 381/71.2, 381/71.11, 381/71.12, 381/71.14, 381/73.1, 381/93, 381/110, 381/119, 381/56, 381/57, 381/58, 381/60, 455/63.1, 455/67.13, 455/570, 455/114.2, 455/135, 455/222, 455/223, 455/226.3, 455/278.1, 455/296, 379/22.08, 379/392.01, 704/200, 704/231, 704/233, 704214-215, 704/246, 700/94
• US Class Current: 1/1
• CPC Class Codes: G10K 2210/30232 Transfer functions, e.g. impulse response
• CPC Class Codes: G10K 2210/3028 Filtering, e.g. Kalman filters or special analogue or digital filters
• CPC Class Codes: G10K 2210/3045 Multiple acoustic inputs, single acoustic output
• CPC Class Codes: G10L 19/0204 using subband decomposition
• CPC Class Codes: G10L 2021/02082 the noise being echo, reverberation of the speech
• CPC Class Codes: G10L 2021/02161 Number of inputs available containing the signal or the noise to be suppressed
• CPC Class Codes: G10L 2021/02165 Two microphones, one receiving mainly the noise signal and the other one mainly the speech signal
• CPC Class Codes: G10L 2021/02168 the estimation exclusively taking place during speech pauses
• CPC Class Codes: G10L 21/02 Speech enhancement, e.g. noise reduction or echo cancellation reducing echo effects in line transmission systems H04B3/20; echo suppression in hands-free telephones H04M9/08
• CPC Class Codes: G10L 21/0208 Noise filtering
• CPC Class Codes: G10L 21/0308 characterised by the type of parameter measurement, e.g. correlation techniques, zero crossing techniques or predictive techniques
• CPC Class Codes: G10L 21/0364 for improving intelligibility
• CPC Class Codes: G10L 25/78 Detection of presence or absence of voice signals switching of direction of transmission by voice frequency in two-way loud-speaking telephone systems H04M9/10
• CPC Class Codes: H04R 1/46 Special adaptations for use as contact microphones, e.g. on musical instrument, on stethoscope throat mountings H04R1/14

Abstract

Acoustic noise suppression is provided in multiple-microphone systems using Voice Activity Detectors (VAD). A host system receives acoustic signals via multiple microphones. The system also receives information on the vibration of human tissue associated with human voicing activity via the VAD. In response, the system generates a transfer function representative of the received acoustic signals upon determining that voicing information is absent from the received acoustic signals during at least one specified period of time. The system removes noise from the received acoustic signals using the transfer function, thereby producing a denoised acoustic data stream.

Claims

1. A method for removing noise from acoustic signals, comprising:

receiving from a plurality of microphones, a plurality of acoustic signals;

receiving information on a vibration of human tissue associated with human voicing activity from a tissue vibration detector in physical contact with the human tissue, the tissue vibration detector comprises a skin surface microphone (SSM) of a voice activity detector (VAD) device included in a wireless earpiece or a wireless headset, the SSM including a covering operative to change an impedance of a microphone of the SSM;

generating at least one first transfer function representative of the plurality of acoustic signals upon determining that voicing information is absent from the plurality of acoustic signals for at least one specified period of time; and

removing noise from the plurality of acoustic signals using the at least one first transfer function to produce at least one denoised acoustic data stream.

2. The method of claim 1, wherein the removing noise further comprises:

generating at least one second transfer function representative of the plurality of acoustic signals upon determining that voicing information from the receiving information from the tissue vibration detector, is present in the plurality of acoustic signals for the at least one specified period of time; and

removing noise from the plurality of acoustic signals using at least one combination of the at least one first transfer function and the at least one second transfer function to produce the at least one denoised acoustic data stream.

3. The method of claim 2, wherein the removing noise further includes generating at least one third transfer function using the at least one first transfer function and the at least one second transfer function.

4. The method of claim 2, wherein the generating the at least one second transfer function comprises recalculating the at least one second transfer function during at least one prespecified interval.

5. The method of claim 1, wherein the plurality of acoustic signals include at least one reflection of at least one associated noise source signal and at least one reflection of at least one acoustic source signal.

6. The method of claim 1, wherein the plurality of microphones are arranged in a microphone array included in the wireless earpiece or the wireless headset.

7. The method of claim 1, wherein the generating the at least one first transfer function comprises recalculating the at least one first transfer function during at least one prespecified interval.

8. The method of claim 1, wherein the generating the at least one first transfer function comprises use of at least one technique selected from a group consisting of adaptive techniques and recursive techniques.

9. The method of claim 1, wherein the human tissue is at least one of on a surface of a head, near the surface of the head, on a surface of a neck, near the surface of the neck, on a surface of a chest, and near the surface of the chest.

10. The method of claim 1, wherein the covering comprises a layer of silicone.

11. The method of claim 1 and further comprising:

receiving, at a noise removal element, a voicing information signal from the VAD device;

receiving, at the noise removal element, the plurality of acoustic signals from the plurality of microphones; and

outputting cleaned speech from the noise removal element.