Speaker adaptation techniques for speech recognition.
نویسندگان
چکیده
منابع مشابه
Speech Recognition : New Techniques for Speaker Adaptation
Résumé : Les systèmes de reconnaissance de la parole utilisant des modèles acoustiques dépendants du locuteur sont plus performants que ceux basés sur des modèles indépendants du locuteur. Le but des techniques d'adaptation est d'améliorer ces derniers modèles pour s'approcher des performances obtenues avec un modéle dépendant du locuteur. Dans cet article, nous proposons deux nouvelles méthode...
متن کاملSpeaker Adaptation Techniques for Automatic Speech Recognition
Statistical speech recognition using continuousdensity hidden Markov models (CDHMMs) has yielded many practical applications. However, in general, mismatches between the training data and input data significantly degrade recognition accuracy. Various acoustic model adaptation techniques using a few input utterances have been employed to overcome this problem. In this article, we survey these ad...
متن کاملSpeaker Adaptation in Continuous Speech Recognition Using MLLR-Based MAP Estimation
A variety of methods are used for speaker adaptation in speech recognition. In some techniques, such as MAP estimation, only the models with available training data are updated. Hence, large amounts of training data are required in order to have significant recognition improvements. In some others, such as MLLR, where several general transformations are applied to model clusters, the results ar...
متن کاملSpeaker Adaptation in Continuous Speech Recognition Using MLLR-Based MAP Estimation
A variety of methods are used for speaker adaptation in speech recognition. In some techniques, such as MAP estimation, only the models with available training data are updated. Hence, large amounts of training data are required in order to have significant recognition improvements. In some others, such as MLLR, where several general transformations are applied to model clusters, the results ar...
متن کاملSpeaker adaptation for audio-visual speech recognition
In this paper, speaker adaptation is investigated for audiovisual automatic speech recognition (ASR) using the multistream hidden Markov model (HMM). First, audio-only and visual-only HMM parameters are adapted by combining maximum a posteriori and maximum likelihood linear regression adaptation. Subsequently, the audio-visual HMM stream exponents are adapted to better capture the reliability o...
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ژورنال
عنوان ژورنال: The Journal of the Institute of Television Engineers of Japan
سال: 1989
ISSN: 0386-6831,1884-9652
DOI: 10.3169/itej1978.43.929