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» Signal processing tools for speech recognition
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ICASSP
2011
IEEE
12 years 11 months ago
Non-stationary feature extraction for automatic speech recognition
In current speech recognition systems mainly Short-Time Fourier Transform based features like MFCC are applied. Dropping the short-time stationarity assumption of the voiced speec...
Zoltán Tüske, Pavel Golik, Ralf Schl&u...
ICASSP
2011
IEEE
12 years 11 months ago
Non-stationary noise estimation method based on bias-residual component decomposition for robust speech recognition
This paper addresses a noise suppression problem, namely the estimation of non-stationary noise sequences. In this problem, we assume that non-stationary noise can be decomposed i...
Masakiyo Fujimoto, Shinji Watanabe, Tomohiro Nakat...
ICASSP
2011
IEEE
12 years 11 months ago
Gesture-based Dynamic Bayesian Network for noise robust speech recognition
Previously we have proposed different models for estimating articulatory gestures and vocal tract variable (TV) trajectories from synthetic speech. We have shown that when deploye...
Vikramjit Mitra, Hosung Nam, Carol Y. Espy-Wilson,...
ICASSP
2009
IEEE
14 years 2 months ago
On the phonetic information in ultrasonic microphone signals
We study the phonetic information in the signal from an ultrasonic “microphone”, a device that emits an ultrasonic wave toward a speaker and receives the reflected, Doppler-s...
Karen Livescu, Bo Zhu, James R. Glass
ICASSP
2011
IEEE
12 years 11 months ago
Named entity recognition from Conversational Telephone Speech leveraging Word Confusion Networks for training and recognition
Named Entity (NE) recognition from the results of Automatic Speech Recognition (ASR) is challenging because of ASR errors. To detect NEs, one of the options is to use a statistica...
Gakuto Kurata, Nobuyasu Itoh, Masafumi Nishimura, ...