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» A hierarchical point process model for speech recognition
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DAGM
2003
Springer
14 years 21 days ago
Improving Children's Speech Recognition by HMM Interpolation with an Adults' Speech Recognizer
In this paper we address the problem of building a good speech recognizer if there is only a small amount of training data available. The acoustic models can be improved by interpo...
Stefan Steidl, Georg Stemmer, Christian Hacker, El...
AIIA
2005
Springer
14 years 1 months ago
Multigranular Scale Speech Recognizers: Technological and Cognitive View
We present a proposal for an Automatic Speech Recognizer based on a “multigranular” model. The leading hypothesis is that speech signal contains information distributed on more...
Francesco Cutugno, Gianpaolo Coro, Massimo Petrill...
ICASSP
2009
IEEE
14 years 2 months ago
Filtering web text to match target genres
In language modeling for speech recognition, both the amount of training data and the match to the target task impact the goodness of the model, with the trade-off usually favorin...
Marius A. Marin, Sergey Feldman, Mari Ostendorf, M...
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...
ICASSP
2011
IEEE
12 years 11 months ago
Automatic recognition of speech without any audio information
This article introduces automatic recognition of speech without any audio information. Movements of the tongue, lips, and jaw are tracked by an Electro-Magnetic Articulography (EM...
Panikos Heracleous, Norihiro Hagita