Tone detection algorithm for a voice activity detector

Details Tone detection algorithm for a voice activity detector Tone detection algorithm for a voice activity detector

2007-06-12

2007-06-12

Abebe, Daniel (Department: 2626)

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

C704S236000

Reexamination Certificate

active

11342103

ABSTRACT:
There is provided a voice activity detection method for indicating an active voice mode and an inactive voice mode. The method comprises receiving an input signal having a plurality of frames, determining whether each of the plurality of frames includes an active voice signal or an inactive voice signal, determining a second reflection coefficient for each frame determined to include the inactive voice signal, comparing the second reflection coefficient with a reflection threshold, and selecting the active voice mode if the second reflection coefficient is greater than the reflection threshold. The method may further comprise selecting the inactive voice mode if the second reflection coefficient is not greater than the reflection threshold. The method may also comprise analyzing the input signal to determine an energy level of the input signal, and selecting the active voice mode if the energy level is greater than an energy threshold.

REFERENCES:
patent: 5774847 (1998-06-01), Chu et al.
patent: 6125179 (2000-09-01), Wu
patent: 6633841 (2003-10-01), Thyssen et al.
patent: 7031916 (2006-04-01), Li et al.
patent: 2005/0108004 (2005-05-01), Otani et al.

Affiliated with

Also associated with

Rating

Tone detection algorithm for a voice activity detector does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Tone detection algorithm for a voice activity detector, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Tone detection algorithm for a voice activity detector will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-3837767