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Discriminative Training Of HMM Stream Exponents For Audio ...
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.55.8868#:~:text=Abstract%20We%20propose%20the%20use%20of%20discriminative%20training,model%20%28HMM%29%20stream%20exponents%20for%20audio-visual%20speech%20recognition.
Discriminative Training Of HMM Stream Exponents For …
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.26.4679
We propose the use of discriminativetrainingbymeansof the generalized probabilistic descent #GPD# algorithm to estimate hidden Markov model #HMM# stream exponents for audio-visual speech recognition. Synchronized audio and visual features are used to respectively train audio-only and visual-only single-stream HMMs of identical topology by maximum likelihood.
Discriminative Training Of HMM Stream Exponents For …
https://www.researchgate.net/publication/2329084_Discriminative_Training_Of_HMM_Stream_Exponents_For_Audio-Visual_Speech_Recognition
Synchronized audio and visual features are used to respectively train audio-only and visual-only single-stream HMMs of identical topology by maximum likelihood. A …
Discriminative Training Of HMM Stream Exponents For …
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.55.8868
We propose the use of discriminative training by means of the generalized probabilistic descent (GPD) algorithm to estimate hidden Markov model (HMM) stream exponents for audio-visual speech recognition. Synchronized audio and visual features are used to respectively train audio-only and visual-only single-stream HMMs of identical topology by maximum likelihood.
Discriminative Training Of HMM Stream Exponents For …
https://core.ac.uk/display/24362316
We propose the use of discriminative training by means of the generalized probabilistic descent (GPD) algorithm to estimate hidden Markov model (HMM) stream exponents for audio-visual speech recognition. Synchronized audio and visual features are used to respectively train audio-only and visual-only single-stream HMMs of identical topology by maximum likelihood.
(PDF) Discriminatively trained features using fMPE for ...
https://www.researchgate.net/publication/221487032_Discriminatively_trained_features_using_fMPE_for_multi-stream_audio-visual_speech_recognition
In this paper we investigate discriminative training of models and feature space for a multi-stream hidden Markov model (HMM) based audio-visual speech recognizer (AVSR).
Discriminatively Trained Features Using fMPE for …
http://danielpovey.com/files/interspeech05_av_jing.pdf
Discriminative training techniques for HMM parameters can be naturally adapted to multi-stream HMM based AVSR system. Common discriminative training techniques such as MMI and MPE [7] have shown to give improvement on vari-ous tasks of ASR. Instead of discriminative training of HMM parameters, Li and Stern recently applied a discriminative-like
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