9 search results - page 2 / 2 » Robust Speech Recognition Using a Cepstral Minimum-Mean-Squa... |
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
This paper presents a noise estimation technique based on knowledge of pitch information for robust speech recognition. In the first stage the noise is estimated by means of extr...
ISCAS
2003
IEEE
13 years 10 months ago
2003
IEEE
The most popular speech feature extractor used in automatic speech recognition (ASR) systems today is the mel frequency cepstral coefficient (mfcc) algorithm. Introduced in 1980,...
TASLP
2011
13 years 17 hour ago
2011
— Missing feature theory (MFT) has demonstrated great potential for improving the noise robustness in speech recognition. MFT was mostly applied in the log-spectral domain since ...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Speaker recognition remains a challenging task under noisy conditions. Inspired by auditory perception, computational auditory scene analysis (CASA) typically segregates speech by...