New waves of consumer-centric applications, such as voice search and voice interaction
with mobile devices and home entertainment systems, increasingly require automatic …

The performance levels of most current speech recognizers degrade significantly when
environmental noise occurs during use. Such performance degradation is mainly caused by …

Performance of even the best current stochastic recognizers severely degrades in an
unexpected communications environment. In some cases, the environmental effect can be …

The objective of the enrollment process is to modify (adapt) a speaker-independent model
into one that best characterizes the target speaker's vocal tract characteristics. Depending …

Most speech parameter estimation techniques are easily in uenced by the frequency
response of the communication channel. We have developed a technique that is more …

Languages, in all their forms, are the more efficient and natural means for people to
communicate. Enormous quantities of information are produced, distributed and consumed …

Two new techniques are presented to estimate the noise spectra or the noise characteristics
for noisy speech signals. No explicit speech pause detection is required. Past noisy …

RASTA (relative spectral) processing is studied in a spectral domain which is linear-like for
small spectral values and logarithmic-like for large spectral values. Experiments with a …

This paper presents a new approach to an auditory model for robust speech recognition in
noisy environments. The proposed model consists of cochlear bandpass filters and …

Presents a maximum-likelihood (ML) stochastic matching approach to decrease the acoustic
mismatch between a test utterance and a given set of speech models so as to reduce the …