IP Library Granted Patent US 11,120,821
Granted Patent B2
US 11,120,821 · App. 15/231,228 · Granted Sep 14, 2021

Vowel sensing voice activity detector

Inventor: Arthur Leland Schiro (Santa Cruz, CA)
Assignee: Plantronics, Inc.
G10L25/87G10K11/1752G10L21/0232G10L21/0308G10L25/78G10L25/93G10L2021/02085
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Quick Facts
Patent No.
US 11,120,821
App. No.
15/231,228
Granted
Sep 14, 2021
Kind
B2
Abstract

Methods and apparatuses for detecting user speech are described. In one example, a method for detecting user speech includes receiving a microphone output signal corresponding to sound received at a microphone and identifying a spoken vowel sound in the microphone signal. The method further includes outputting an indication of user speech detection responsive to identifying the spoken vowel sound.

Claims (29)

1. A method for detecting user speech comprising:

outputting from a loudspeaker a sound masking noise in an open space;

detecting a sound in the open space with a microphone and outputting a microphone output signal corresponding to the sound, wherein the sound comprises the sound masking noise;

converting the microphone output signal to a digital audio signal;

identifying a spoken vowel sound in the sound received at the microphone from the digital audio signal comprising: detecting a plurality of harmonic frequency signal components; filtering out a low frequency component comprising the sound masking noise; and amplifying one or more higher frequency harmonics in the plurality of harmonic frequency signal components; and

outputting an indication of user speech detection responsive to identifying the spoken vowel sound.

2. The method of claim 1 , wherein filtering out the low frequency component comprising the sound masking noise comprises filtering out frequencies below 300 Hz present in the sound.

3. The method of claim 1 , wherein the low frequency component further comprises at least one of a heating, ventilation, and air conditioning (HVAC) noise.

4. The method of claim 1 , wherein identifying the spoken vowel sound in the sound received at the microphone from the digital audio signal comprises finding a circular autocorrelation of an absolute value of a short time hamming windowed audio spectrum.

5. The method of claim 4 , further comprising reducing an impact of stationary noise by applying a non-linear median filter to a result of the circular autocorrelation of the absolute value of the short time hamming windowed audio spectrum.

6. A system comprising:

a sound masking system configured to output from a loudspeaker a sound masking noise in an open space;

a microphone arranged to detect a sound in the open space, the sound comprising the sound masking noise; and

a speech detection system comprising:

a first module configured to convert the sound received at the microphone to a digital audio signal; and

a second module configured to identify a spoken vowel sound in the sound received at the microphone from the digital audio signal and output an indication of user speech responsive to identifying the spoken vowel sound, wherein to identify the spoken vowel sound the second module is configured to: detect a plurality of harmonic frequency signal components; filter out a low frequency component comprising the sound masking noise; and amplify one or more higher frequency harmonics in the plurality of harmonic frequency signal components,

and wherein the sound masking system is further configured to receive the indication of user speech from the speech detection system and output or adjust the sound masking noise into the open space responsive to the indication of user speech.

7. The system of claim 6 , wherein the sound detected at the microphone further comprises at least one of a heating, ventilation, and air conditioning (HVAC) noise, and wherein the second module is further configured to filter out the at least one of the heating, ventilation, and air conditioning noise.

8. The system of claim 6 , wherein the second module is configured to find a circular autocorrelation of an absolute value of a short time hamming windowed audio spectrum to identify the spoken vowel sound.

9. The system of claim 8 , wherein the second module is further configured to reduce an impact of stationary noise by applying a non-linear median filter to a result of the circular autocorrelation of the absolute value of a short time hamming windowed audio spectrum.

10. One or more non-transitory computer-readable storage media having computer-executable instructions stored thereon which, when executed by one or more computers, cause the one more computers to perform operations comprising:

outputting from a loudspeaker a sound masking noise in an open space;

detecting a sound in the open space with a microphone and outputting a microphone output signal corresponding to the sound, wherein the sound comprises the sound masking noise;

converting the microphone output signal to a digital audio signal;

identifying a spoken vowel sound in the sound received at the microphone from the digital audio signal comprising: detecting a plurality of harmonic frequency signal components; filtering out a low frequency component comprising the sound masking noise; and amplifying one or more higher frequency harmonics in the plurality of harmonic frequency signal components; and

outputting an indication of user speech detection responsive to identifying the spoken vowel sound.

11. The one or more non-transitory computer-readable storage media of claim 10 , wherein

the microphone is disposed in proximity to a ceiling area of the open space.

12. The one or more non-transitory computer-readable storage media of claim 10 , wherein identifying the spoken vowel sound in the sound received at the microphone from the digital audio signal comprises finding a circular autocorrelation of an absolute value of a short time hamming windowed audio spectrum.

Assignments (4)
NUNC PRO TUNC ASSIGNMENT Recorded Nov 13, 2023
From: PLANTRONICS, INC.
To: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
Reel/Frame 065549/0065 →
RELEASE OF PATENT SECURITY INTERESTS Recorded Aug 30, 2022
From: WELLS FARGO BANK, NATIONAL ASSOCIATION
To: PLANTRONICS, INC.; POLYCOM, INC.
Reel/Frame 061356/0366 →
SECURITY AGREEMENT Recorded Jul 5, 2018
From: PLANTRONICS, INC.; POLYCOM, INC.
To: WELLS FARGO BANK, NATIONAL ASSOCIATION
Reel/Frame 046491/0915 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 8, 2016
From: SCHIRO, ARTHUR LELAND
To: PLANTRONICS, INC.
Reel/Frame 039371/0811 →
Continuity (1)
Related Publication 20180040338A1 · Feb 8, 2018