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» Signal Processing for Robust Speech Recognition
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ICASSP
2009
IEEE
16 years 22 days ago
Experimenting with a global decision tree for state clustering in automatic speech recognition systems
In modern automatic speech recognition systems, it is standard practice to cluster several logical hidden Markov model states into one physical, clustered state. Typically, the cl...
Jasha Droppo, Alex Acero
MM
2006
ACM
178views Multimedia» more  MM 2006»
15 years 12 months ago
Multimedia signal processing for behavioral quantification in neuroscience
While there have been great advances in quantification of the genotype of organisms, including full genomes for many species, the quantification of phenotype is at a comparatively...
Peter Andrews, Haibin Wang, Dan Valente, Jih&egrav...
ICASSP
2010
IEEE
15 years 6 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
15 years 6 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
2009
IEEE
16 years 22 days 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...