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» Signal Processing for Robust Speech Recognition
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ICASSP
2010
IEEE
15 years 6 months ago
Comparison of modulation features for phoneme recognition
In this paper, we compare several approaches for the extraction of modulation frequency features from speech signal using a phoneme recognition system. The general framework in th...
Sriram Ganapathy, Samuel Thomas, Hynek Hermansky
ICASSP
2010
IEEE
15 years 3 months ago
Clap your hands! Calibrating spectral subtraction for dereverberation
Reverberation effects as observed by room microphones severely degrade the performance of automatic speech recognition systems. We investigate the use of dereverberation by spectr...
Uwe Zah, Korbinian Riedhammer, Tobias Bocklet, Elm...
TASLP
2008
133views more  TASLP 2008»
15 years 4 months ago
Minimum Mean-Squared Error Estimation of Mel-Frequency Cepstral Coefficients Using a Novel Distortion Model
In this paper, a new method for statistical estimation of Mel-frequency cepstral coefficients (MFCCs) in noisy speech signals is proposed. Previous research has shown that model-ba...
Kevin M. Indrebo, Richard J. Povinelli, Michael T....
ICASSP
2011
IEEE
14 years 9 months ago
MLP based phoneme detectors for Automatic Speech Recognition
Phoneme posterior probabilities estimated using Multi-Layer Perceptrons (MLPs) are extensively used both as acoustic scores and features for speech recognition. In this paper we e...
Samuel Thomas, Patrick Nguyen, Geoffrey Zweig, Hyn...
CCECE
2006
IEEE
16 years 8 hour ago
An Online System for Synchronized Processing of Video and Audio Signals
For many audio-visual applications, the integration and synchronization of audio and video signals is essential. The objective of this paper is to develop a system that displays t...
Mary Mikhail, Giovanni Palumbo, Jinane Mohammad, M...