Invention Grant
- Patent Title: Method and system for generating advanced feature discrimination vectors for use in speech recognition
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Application No.: US14217198Application Date: 2014-03-17
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Publication No.: US09728182B2Publication Date: 2017-08-08
- Inventor: Kevin M. Short , Brian Hone
- Applicant: Setem Technologies, Inc.
- Applicant Address: US MA Byfield
- Assignee: SETEM TECHNOLOGIES, INC.
- Current Assignee: SETEM TECHNOLOGIES, INC.
- Current Assignee Address: US MA Byfield
- Agency: GTC Law Group PC & Affiliates
- Main IPC: G10L15/02
- IPC: G10L15/02 ; G10L25/21 ; G10L25/18 ; G10L25/24 ; G10L25/93

Abstract:
A method of renormalizing high-resolution oscillator peaks, extracted from windowed samples of an audio signal, is disclosed. Feature vectors are generated for which variations in both fundamental frequency and time duration of speech are substantially mitigated. The feature vectors may be aligned within a common coordinate space, free of those variations in frequency and time duration that occurs between speakers, and even over speech by a single speaker, to facilitate a simple and accurate determination of matches between those AFDVs generated from a sample of the audio signal and corpus AFDVs generated for known speech at the phoneme and sub-phoneme level. The renormalized feature vectors can be combined with traditional feature vectors such as MFCCs, or they can be used exclusively to identify voiced, semi-voiced and unvoiced sounds.
Public/Granted literature
- US20160284343A1 METHOD AND SYSTEM FOR GENERATING ADVANCED FEATURE DISCRIMINATION VECTORS FOR USE IN SPEECH RECOGNITION Public/Granted day:2016-09-29
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