Publication

Combining Evidence from a Generative and a Discriminative Model in Phoneme Recognition

Publications associées (49)

Developing and Enhancing Posterior Based Speech Recognition Systems

Hervé Bourlard, Samy Bengio, Hamed Ketabdar

Local state or phone posterior probabilities are often investigated as local scores (e.g., hybrid HMM/ANN systems) or as transformed acoustic features (e.g., ``Tandem'') to improve speech recogni tion systems. In this paper, we present initial results towa ...

IDIAP2005

A Probabilistic Interpretation of SVMs with an Application to Unbalanced Classification

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In this paper, we show that the hinge loss can be interpreted as the neg-log-likelihood of a semi-parametric model of posterior probabilities. From this point of view, SVMs represent the parametric component of a semi-parametric model fitted by a maximum a ...

IDIAP2005

A Probabilistic Interpretation of SVMs with an Application to Unbalanced Classification

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A Generative Model for Music Transcription

In this paper we present a graphical model for polyphonic music transcription. Our model, formulated as a Dynamical Bayesian Network, embodies a transparent and computationally tractable approach to this acoustic analysis problem. An advantage of our appro ...

IDIAP2005

Towards using hierarchical posteriors for flexible automatic speech recognition systems

Hervé Bourlard, Samy Bengio, Bertrand Mesot

Local state (or phone) posterior probabilities are often investigated as local classifiers (e.g., hybrid HMM/ANN systems) or as transformed acoustic features (e.g., ``Tandem'') towards improved speech recognition systems. In this paper, we present initial ...

IDIAP2004

Modelling Auxiliary Features in Tandem Systems

Hervé Bourlard, Shajith Ikbal

Tandem systems transform the cepstral features into posterior probabilities of subword units using artificial neural networks (ANNs), which are processed to form input features for conventional speech recognition systems. They have been shown to perform be ...

2004

Modelling Auxiliary Features in Tandem Systems

Hervé Bourlard, Shajith Ikbal

IDIAP2004

Posteriori Probabilities and Likelihoods Combination for Speech and Speaker Recognition

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This paper investigates a new approach to perform simultaneous speech and speaker recognition. The likelihood estimated by a speaker identification system is combined with the posterior probability estimated by the speech recognizer. So, the joint posterio ...

IDIAP2004

Posteriori Probabilities and Likelihoods Combination for Speech and Speaker Recognition

Hervé Bourlard

2004

A Generative Model for Music Transcription

2004

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