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» Implementing a Hidden Markov Model Speech Recognition System...
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CSL
2007
Springer
13 years 7 months ago
Discriminative semi-parametric trajectory model for speech recognition
Hidden Markov Models (HMMs) are the most commonly used acoustic model for speech recognition. In HMMs, the probability of successive observations is assumed independent given the ...
K. C. Sim, M. J. F. Gales
ICASSP
2008
IEEE
14 years 1 months ago
Multimodal information fusion using the iterative decoding algorithm and its application to audio-visual speech recognition
The fusion of information from heterogenous sensors is crucial to the effectiveness of a multimodal system. Noise affect the sensors of different modalities independently. A good ...
Shankar T. Shivappa, Bhaskar D. Rao, Mohan M. Triv...
INTERSPEECH
2010
13 years 2 months ago
An intonation model for TTS in sepedi
We present an initial investigation into the acoustic realisation of tone in continuous utterances in Sepedi (a language in the Southern Bantu family). An analytic model for the g...
Daniel R. van Niekerk, Etienne Barnard
TASLP
2002
124views more  TASLP 2002»
13 years 7 months ago
A robust compensation strategy for extraneous acoustic variations in spontaneous speech recognition
In this paper, we propose a robust compensation strategy to deal effectively with extraneous acoustic variations for spontaneous speech recognition. This strategy extends speaker a...
Hui Jiang, Li Deng
ICMCS
2005
IEEE
139views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Rapid Feature Space Speaker Adaptation for Multi-Stream HMM-Based Audio-Visual Speech Recognition
Multi-stream hidden Markov models (HMMs) have recently been very successful in audio-visual speech recognition, where the audio and visual streams are fused at the final decision...
Jing Huang, Etienne Marcheret, Karthik Visweswaria...