This paper proposes a speaker adaptation method for speech recognition based on the discrete hidden Markov models (HMM), especially the fenonic Markov model ...

This paper proposes a speaker adaptation method for speech recognition based on the discrete hidden. Markov models (HMM), especially the fenonic Markov.

This paper describes a novel approach to speaker adaptation and is a continuation of the author's work on this topic using stochastic speaker models, ...

The invention provides a speech recognition system based on Markov models capable of highly accurate recognition, paying attention to speech transitional ...

This paper proposes a speaker adaptation method for speech recognition based on the discrete hidden Markov models (HMM), especially the fenonic Markov model ...

The invention is an efficient speech recognizer modelling various phonetic transformations (e.g., allophones) caused by pronunciation by combining hidden Markov ...

ABSTRACT. M Research has developed a real-time, isolated-word speech recognizer called Tangora, which accepts natural English sentences drawn from a ...

Feb 27, 1990 · In a speech recognition system, the prior parameters of acoustic prototype vectors are adapted to a new speaker.

ABSTRACT For decades, acoustic models in speech recognition systems pivot on Hidden Markov Models. (HMMs), e.g., Gaussian Mixture Model-HMM system, ...

This paper proposes a speaker adaptation method for speech recognition based on the discrete hidden Markov models (HMM), especially the fenonic Markov model, ...