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» Bi-Spectral Acoustic Features for Robust Speech Recognition
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RIVF
2007
13 years 9 months ago
Thai Speech Keyword Spotting using Heterogeneous Acoustic Modeling
This paper illustrates the use of acoustic modeling of spoken dialog systems. One major problem with using speech three different structures, including syllables, fillers and recog...
S. Tangruamsub, Proadpran Punyabukkana, Atiwong Su...
NAACL
1994
13 years 8 months ago
Signal Processing for Robust Speech Recognition
This paper describes several new cepstral-based compensation procedures that render the SPHINX-II system more robust with respect to acoustical environment. The first algorithm, p...
Fu-Hua Liu, Pedro J. Moreno, Richard M. Stem, Alej...
ICASSP
2008
IEEE
14 years 2 months ago
French prominence: A probabilistic framework
Identification of prosodic phenomena is of first importance in prosodic analysis and modeling. In this paper, we introduce a new method for automatic prosodic phenomena labellin...
Nicolas Obin, Xavier Rodet, Anne Lacheret-Dujour
INTERSPEECH
2010
13 years 2 months ago
Glottal-based analysis of the lombard effect
The Lombard effect refers to the speech changes due to the immersion of the speaker in a noisy environment. Among these changes, studies have already reported acoustic modificatio...
Thomas Drugman, Thierry Dutoit
MLMI
2005
Springer
14 years 1 months ago
Hierarchical Multi-stream Posterior Based Speech Recognition System
Abstract. In this paper, we present initial results towards boosting posterior based speech recognition systems by estimating more informative posteriors using multiple streams of ...
Hamed Ketabdar, Hervé Bourlard, Samy Bengio