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» Signal processing tools for speech recognition
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ICASSP
2011
IEEE
12 years 11 months ago
Non-negative matrix deconvolution in noise robust speech recognition
High noise robustness has been achieved in speech recognition by using sparse exemplar-based methods with spectrogram windows spanning up to 300 ms. A downside is that a large exe...
Antti Hurmalainen, Jort F. Gemmeke, Tuomas Virtane...
ICASSP
2010
IEEE
13 years 7 months ago
Evaluation of random-projection-based feature combination on speech recognition
Random projection has been suggested as a means of dimensionality reduction, where the original data are projected onto a subspace using a random matrix. It represents a computati...
Tetsuya Takiguchi, Jeff Bilmes, Mariko Yoshii, Yas...
ICASSP
2010
IEEE
13 years 7 months ago
HMM-based pseudo-clean speech synthesis for splice algorithm
In this paper, we present a novel approach to relax the constraint of stereo-data which is needed in a series of algorithms for noise-robust speech recognition. As a demonstration...
Jun Du, Yu Hu, Li-Rong Dai, Ren-Hua Wang
ICASSP
2008
IEEE
14 years 2 months ago
Irrelevant variability normalization based HMM training using map estimation of feature transforms for robust speech recognition
In the past several years, we’ve been studying feature transformation (FT) approaches to robust automatic speech recognition (ASR) which can compensate for possible “distortio...
Donglai Zhu, Qiang Huo
ICASSP
2009
IEEE
14 years 2 months ago
Emotion recognition from speech: Putting ASR in the loop
This paper investigates the automatic recognition of emotion from spoken words by vector space modeling vs. string kernels which have not been investigated in this respect, yet. A...
Björn Schuller, Anton Batliner, Stefan Steidl...