Patent №
US 7,516,069
Granted
2009-04-07
Filed 2004
Owner
TEXAS INSTRUMENTS INCORPORATED
Lab
—
AI components
3
ml · nlp · speech
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
10823059
A method for performing time and frequency Signal-to-Noise Ratio (SNR) dependent weighting in speech recognition is described that includes for each period t estimating the SNR to get time and frequency SNR information ηt,f; calculating the time and frequency weighting to get γtf; performing the back and forth weighted time varying DCT transformation matrix computation MGtM−1 to get Tt; providing the transformation matrix Tt and the original MFCC feature ot that contains the information about the SNR to a recognizer including the Viterbi decoding; and performing weighted Viterbi recognition bj(ot).
AI classification
Ownership
TEXAS INSTRUMENTS INCORPORATED
assignment · 155450638
Assignors
BERNARD, ALEXIS P., GONG, YIFAN
On an employer assignment, the assignors are typically the inventors.