Publications related to Hilbert Envelope Based Spectro-Temporal Features for Phoneme Recognition in Telephone Speech

Mel-Cepstrum Modulation Spectrum (MCMS) Features for Robust ASR

Hervé Bourlard, Hemant Misra, Vivek Tyagi

In this paper, we present new dynamic features derived from the modulation spectrum of the cepstral traje ctories of the speech signal. Cepstral trajectories are projected over the basis of sines and cosines yie lding the cepstral modulation frequency resp ...

IDIAP2003

Mel-Cepstrum Modulation Spectrum (MCMS) Features for Robust ASR

Hervé Bourlard, Hemant Misra, Vivek Tyagi

In this paper, we present new dynamic features derived from the modulation spectrum of the cepstral traje ctories of the speech signal. Cepstral trajectories are projected over the basis of sines and cosines yie lding the cepstral modulation frequency resp ...

2003

HMM mixtures (HMM2) for robust speech recognition

Katrin Weber

State-of-the-art automatic speech recognition (ASR) techniques are typically based on hidden Markov models (HMMs) for the modeling of temporal sequences of feature vectors extracted from the speech signal. At the level of each HMM state, Gaussian mixture m ...

EPFL2003

HMM Mixtures (HMM2) for Robust Speech Recognition

Katrin Weber

State-of-the-art automatic speech recognition (ASR) techniques are typically based on hidden Markov models (HMMs) for the modeling of temporal sequences of feature vectors extracted from the speech signal. At the level of each HMM state, Gaussian mixture m ...

Ecole Polytechnique Federale de Lausanne2003

HMM Mixtures (HMM2) for Robust Speech Recognition

Katrin Weber

State-of-the-art automatic speech recognition (ASR) techniques are typically based on hidden Markov models (HMMs) for the modeling of temporal sequences of feature vectors extracted from the speech signal. At the level of each HMM state, Gaussian mixture m ...

IDIAP2003

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

Some Emerging Concepts in Speech Recognition.

Hervé Bourlard, Hynek Hermansky

The paper presents a work-in-progress on several emerging concepts in Automatic Speech Recognition (ASR), that are being currently studied at IDIAP. This work can be roughly categorized into three categories: 1) data-guided features, 2) features based on m ...

IDIAP2003

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 ...

IDIAP2001

Hilbert Envelope Based Spectro-Temporal Features for Phoneme Recognition in Telephone Speech

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Mel-Cepstrum Modulation Spectrum (MCMS) Features for Robust ASR

Mel-Cepstrum Modulation Spectrum (MCMS) Features for Robust ASR

HMM mixtures (HMM2) for robust speech recognition

HMM Mixtures (HMM2) for Robust Speech Recognition

HMM Mixtures (HMM2) for Robust Speech Recognition

Robust Speech Recognition and Feature Extraction Using HMM2

Some Emerging Concepts in Speech Recognition.

Robust Speech Recognition and Feature Extraction Using HMM2

Mel-Cepstrum Modulation Spectrum (MCMS) Features for Robust ASR

Robust Speech Recognition and Feature Extraction Using HMM2

Some Emerging Concepts in Speech Recognition.

HMM mixtures (HMM2) for robust speech recognition

HMM Mixtures (HMM2) for Robust Speech Recognition

HMM Mixtures (HMM2) for Robust Speech Recognition

Mel-Cepstrum Modulation Spectrum (MCMS) Features for Robust ASR

Robust Speech Recognition and Feature Extraction Using HMM2