Адаптация говорящего

method ID: speakeradaptation

Related Papers

A New Paradigm for Speaker-Independent Training and Speaker Adaptation

Authors: nan

Publication: TIPSTER (1990)

DOI: nan

This paper reports on two contributions to large vocabu- lary continuous speech recognition. First, we present a new paradigm for speaker-independent (SI) training of hid- den Markov models (HMM), which …...

7224

Bayesian Learning of Gaussian Mixture Densities for Hidden Markov Models

Authors: nan

Publication: TIPSTER (1991)

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An investigation into the use of Bayesian learning of the parame- ters of a multivariate Gaassian mixture density has been carried out. In a continuous density hidden Markov model (CDHMM) …...

7331

MAP Estimation of Continuous Density HMM : Theory and Applications

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Publication: TIPSTER (1992)

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We discuss maximum a posteriori estimation of continuous density hid- den Markov models (CDHMM). The classical MLE reestimation algorithms, namely the forward-backward algorithm and the segmental k-means algo- rithm, are …...

12960

Which Words Are Hard to Recognize? Prosodic, Lexical, and Disfluency Factors that Increase ASR Error Rates

Authors: nan

Publication: TIPSTER (2008)

DOI: nan

Many factors are thought to increase the chances of misrecognizing a word in ASR, including low frequency, nearby disfluencies, short duration, and being at the start of a turn. However, …...

36731

Evaluation of Feature-Space Speaker Adaptation for End-to-End Acoustic Models

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This paper investigates speaker adaptation techniques for bidirectional long short term memory (BLSTM) recurrent neural network based acoustic models (AMs) trained with the connectionist temporal classification (CTC) objective function. BLSTM-CTC …...

17519

A Unified Speaker Adaptation Approach for ASR

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractTransformer models have been used in automatic speech recognition (ASR) successfully and yields state-of-the-art results. However, its performance is still affected by speaker mismatch between training and test data. Further …...

30910

BJTU-WeChat’s Systems for the WMT22 Chat Translation Task

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AbstractThis paper introduces the joint submission of the Beijing Jiaotong University and WeChat AI to the WMT’22 chat translation task for English-German. Based on the Transformer, we apply several effective …...

27456