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» Bi-Spectral Acoustic Features for Robust Speech Recognition
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ICASSP
2011
IEEE
12 years 11 months ago
Structured discriminative models for noise robust continuous speech recognition
Recently there has been interest in structured discriminative models for speech recognition. In these models sentence posteriors are directly modelled, given a set of features ext...
Anton Ragni, Mark John Francis Gales
ICASSP
2011
IEEE
12 years 11 months ago
Towards robust word discovery by self-similarity matrix comparison
Word discovery is the task of discovering and collecting occurrences of repeating words in the absence of prior acoustic and linguistic knowledge, or training material. The capabi...
Armando Muscariello, Guillaume Gravier, Fré...
ICASSP
2011
IEEE
12 years 11 months ago
Localization of non-linguistic events in spontaneous speech by Non-Negative Matrix Factorization and Long Short-Term Memory
Features generated by Non-Negative Matrix Factorization (NMF) have successfully been introduced into robust speech processing, including noise-robust speech recognition and detect...
Felix Weninger, Björn Schuller, Martin Wö...
ICASSP
2008
IEEE
14 years 2 months ago
Environmental sound recognition using MP-based features
Defining suitable features for environmental sounds is an important problem in an automatic acoustic scene recognition system. As with most pattern recognition problems, extracti...
Selina Chu, Shrikanth S. Narayanan, C. C. Jay Kuo
ACII
2007
Springer
14 years 1 months ago
Frame vs. Turn-Level: Emotion Recognition from Speech Considering Static and Dynamic Processing
Abstract. Opposing the pre-dominant turn-wise statistics of acoustic LowLevel-Descriptors followed by static classification we re-investigate dynamic modeling directly on the frame...
Bogdan Vlasenko, Björn Schuller, Andreas Wend...