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HMM mixtures (HMM2) for robust speech recognition

Publications associées (213)

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Robust Speech Recognition and Feature Extraction Using HMM2

Hervé Bourlard, Samy Bengio, Katrin Weber, Shajith Ikbal

This paper presents the theoretical basis and preliminary experimental results of a new HMM model, referred to as HMM2, which can be considered as a mixture of HMMs. In this new model, the emission probabilities of the temporal (primary) HMM are estimated ...

2003

Offline Cursive Handwriting: From Word To Text Recognition

Alessandro Vinciarelli

This thesis presents a PhD work on offline cursive handwriting recognition, the automatic transcription of cursive data when only its image is available. Two main approaches were used in the literature to solve the problem. The first one attempts to segmen ...

IDIAP2003

Speech/Music Discrimination using Entropy and Dynamism Features in a HMM Classification Framework

Hervé Bourlard, Jitendra Ajmera

In this paper, we present a new approach towards high performance speech/music discrimination on realistic tasks related to the automatic transcription of broadcast news. In the approach presented here, the (local) Probability Density Function (PDF) estima ...

2003

Speech recognition with auxiliary information

Automatic speech recognition (ASR) is a very challenging problem due to the wide variety of the data that it must be able to deal with. Being the standard tool for ASR, hidden Markov models (HMMs) have proven to work well for ASR when there are controls ov ...

EPFL2003

Speech Recognition with Auxiliary Information

IDIAP2003

Speech Recognition with Auxiliary Information

École Polytechnique Fédérale de Lausanne, Computer Science Department2003

Nonlinear Spectral Transformations for Robust Speech Recognition

Hervé Bourlard, Hynek Hermansky, Shajith Ikbal

Recently, a nonlinear transformation of autocorrelation coefficients named Phase AutoCorrelation (PAC) coefficients has been considered for feature extraction \cite{ikbal03}. PAC based features show improved robustness to additive noise as a result of two ...

IDIAP2003

Nonlinear Spectral Transformations for Robust Speech Recognition

Hervé Bourlard, Hynek Hermansky, Shajith Ikbal

2003

On Factorizing Spectral Dynamics for Robust Speech Recognition

Hervé Bourlard, Hemant Misra, Vivek Tyagi

In this paper, we introduce new dynamic speech features based on the modulation spectrum. These features, termed Mel-cepstrum Modulation Spectrum (MCMS), map the time trajectories of the spectral dynamics into a series of slow and fast moving orthogonal co ...

IDIAP2003

On Factorizing Spectral Dynamics for Robust Speech Recognition

Hervé Bourlard, Hemant Misra, Vivek Tyagi

2003