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» Lithuanian Speech Recognition Using the English Recognizer
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TASLP
2010
117views more  TASLP 2010»
14 years 4 months ago
Speech Enhancement Using Gaussian Scale Mixture Models
This paper presents a novel probabilistic approach to speech enhancement. Instead of a deterministic logarithmic relationship, we assume a probabilistic relationship between the fr...
Jiucang Hao, Te-Won Lee, Terrence J. Sejnowski
ICPR
2000
IEEE
15 years 10 months ago
A Markov Random Field Model for Automatic Speech Recognition
Speech can be represented as a time/frequency distribution of energy using a multi-band filter bank. A Markov random field model, which takes into account the possible time asynch...
Gérard Chollet, Guillaume Gravier, Marc Sig...
TASLP
2008
131views more  TASLP 2008»
14 years 9 months ago
Histogram-Based Quantization for Robust and/or Distributed Speech Recognition
Abstract--In a distributed speech recognition (DSR) framework, the speech features are quantized and compressed at the client and recognized at the server. However, recognition acc...
Chia-Yu Wan, Lin-Shan Lee
TMM
2010
224views Management» more  TMM 2010»
14 years 4 months ago
A 3-D Audio-Visual Corpus of Affective Communication
Communication between humans deeply relies on the capability of expressing and recognizing feelings. For this reason, research on human-machine interaction needs to focus on the re...
Gabriele Fanelli, Jürgen Gall, Harald Romsdor...
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ICASSP
2009
IEEE
15 years 4 months ago
Speaker recognition using syllable-based constraints for cepstral frame selection
We describe a new GMM-UBM speaker recognition system that uses standard cepstral features, but selects different frames of speech for different subsystems. Subsystems, or “const...
Tobias Bocklet, Elizabeth Shriberg