Detecting voiced and unvoiced speech using both acoustic and nonacoustic sensors

• US 20070233479A1
• Filed: 05/25/2007
• Published: 10/04/2007
• Est. Priority Date: 05/30/2002
• Status: Abandoned Application

• Current Assignee: JAWB Acquisition LLC
• Original Assignee: JAWB Acquisition LLC
• Inventors: Burnett, Gregory
• Application Number:
  US11/805,987
• Publication Number:
  US 20070233479A1
• Time in Patent Office: Days
• US Class Current: 704/233
• 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 25/93 Discriminating between voiced and unvoiced parts of speech signals G10L25/90 takes precedence

Abstract

Systems and methods are provided for detecting voiced and unvoiced speech in acoustic signals having varying levels of background noise. The systems receive acoustic signals at two microphones, and generate difference parameters between the acoustic signals received at each of the two microphones. The difference parameters are representative of the relative difference in signal gain between portions of the received acoustic signals. The systems identify information of the acoustic signals as unvoiced speech when the difference parameters exceed a first threshold, and identify information of the acoustic signals as voiced speech when the difference parameters exceed a second threshold. Further, embodiments of the systems include non-acoustic sensors that receive physiological information to aid in identifying voiced speech.

Claims

1. A system for detecting voiced and unvoiced speech in acoustic signals having varying levels of background noise, comprising:

at least two microphones for receiving the acoustic signals;

at least one processor coupled among the microphones, wherein the at least one processor;

generates difference parameters between the acoustic signals received at each of the two microphones, wherein the difference parameters are representative of the relative difference in signal gain between portions of the received acoustic signals;

identifies information of the acoustic signals as unvoiced speech when the difference parameters exceed a first threshold; and

identifies information of the acoustic signals as voiced speech when the difference parameters exceed a second threshold.

2. A method for detecting voiced and unvoiced speech in acoustic signals having varying levels of background noise, comprising:

receiving the acoustic signals at two receivers;

generating difference parameters between the acoustic signals received at each of the two receivers, wherein the difference parameters are representative of the relative difference in signal gain between portions of the received acoustic signals;

identifying information of the acoustic signals as unvoiced speech when the difference parameters exceed a first threshold; and

identifying information of the acoustic signals as voiced speech when the difference parameters exceed a second threshold.

3. The method of claim 2, further comprising generating the first and second thresholds using standard deviations corresponding to the generation of the difference parameters.

4. The method of claim 2, further comprising:

identifying information of the acoustic signals as noise when the difference parameters are less than the first threshold; and

performing denoising on the identified noise.

5. The method of claim 2, further comprising receiving physiological information associated with human voicing activity, wherein the physiological information comprises receiving physiological data associated with human voicing using at least one detector selected from a group including radio frequency devices, electroglottographs, ultrasound devices, acoustic throat microphones, and airflow detectors.

6. A system for detecting voiced and unvoiced speech in acoustic signals having varying levels of background noise, comprising:

at least two microphones that receive the acoustic signals;

at least one voicing sensor that receives physiological information associated with human voicing activity; and

at least one processor coupled among the microphones and the voicing sensor, wherein the at least one processor;

generates cross correlation data between the physiological information and an acoustic signal received at one of the two microphones;

identifies information of the acoustic signals as voiced speech when the cross correlation data corresponding to a portion of the acoustic signal received at the one receiver exceeds a correlation threshold;

generates difference parameters between the acoustic signals received at each of the two receivers, wherein the difference parameters are representative of the relative difference in signal gain between portions of the received acoustic signals;

identifies information of the acoustic signals as unvoiced speech when the difference parameters exceed a gain threshold; and

identifies information of the acoustic signals as noise when the difference parameters are less than the gain threshold.

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

receiving the acoustic signals at two receivers and receiving physiological information associated with human voicing activity at a voicing sensor;

generating cross correlation data between the physiological information and an acoustic signal received at one of the two receivers;

identifying information of the acoustic signals as voiced speech when the cross correlation data corresponding to a portion of the acoustic signal received at the one receiver exceeds a correlation threshold;

generating difference parameters between the acoustic signals received at each of the two receivers, wherein the difference parameters are representative of the relative difference in signal gain between portions of the received acoustic signals;

identifying information of the acoustic signals as unvoiced speech when the difference parameters exceed a gain threshold; and

identifying information of the acoustic signals as noise when the difference parameters are less than the gain threshold.