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» Magnitude spectrum enhancement for robust speech recognition
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INTERSPEECH
2010
14 years 4 months ago
What else is new than the hamming window? robust MFCCs for speaker recognition via multitapering
Usually the mel-frequency cepstral coefficients (MFCCs) are derived via Hamming windowed DFT spectrum. In this paper, we advocate to use a so-called multitaper method instead. Mul...
Tomi Kinnunen, Rahim Saeidi, Johan Sandberg, Maria...
INTERSPEECH
2010
14 years 4 months ago
Nonlinear enhancement of onset for robust speech recognition
In this paper we present a novel algorithm called Suppression of Slowly-varying components and the Falling edge of the power envelope (SSF) to enhance spectral features for robust...
Chanwoo Kim, Richard M. Stern
ICASSP
2011
IEEE
14 years 1 months ago
Robust speech recognition using multiple prior models for speech reconstruction
Prior models of speech have been used in robust automatic speech recognition to enhance noisy speech. Typically, a single prior model is trained by pooling the entire training dat...
Arun Narayanan, Xiaojia Zhao, DeLiang Wang, Eric F...
ICASSP
2011
IEEE
14 years 1 months ago
Spectral subtraction on real and imaginary modulation spectra
In this paper, we propose a novel phase preserving spectral subtraction method for enhancing speech in noise. Instead of the conventional approach of carrying out subtraction on t...
Yi Zhang, Yunxin Zhao
SPEECH
2010
152views more  SPEECH 2010»
14 years 8 months ago
Single-channel speech enhancement using spectral subtraction in the short-time modulation domain
In this paper we investigate the modulation domain as an alternative to the acoustic domain for speech enhancement. More specifically, we wish to determine how competitive the mo...
Kuldip K. Paliwal, Kamil Wójcicki, Belinda ...