Publications associées à Segment-level training of ANNs based on acoustic confidence measures for hybrid HMM/ANN Speech Recognition

Robust audio segmentation

Audio segmentation, in general, is the task of segmenting a continuous audio stream in terms of acoustically homogenous regions, where the rule of homogeneity depends on the task. This thesis aims at developing and investigating efficient, robust and unsup ...

EPFL2005

Robust Audio Segmentation

Hervé Bourlard, Jitendra Ajmera

Audio segmentation, in general, is the task of segmenting a continuous audio stream in terms of acoustically homogenous regions, where the rule of homogeneity depends on the task. This thesis aims at developing and investigating efficient, robust and unsup ...

IDIAP2004

Robust Audio Segmentation

Hervé Bourlard, Jitendra Ajmera

Audio segmentation, in general, is the task of segmenting a continuous audio stream in terms of acoustically homogenous regions, where the rule of homogeneity depends on the task. This thesis aims at developing and investigating efficient, robust and unsup ...

École Polytechnique Fédérale de Lausanne2004

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

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

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 ...

IDIAP2001

Improving Posterior Based Confidence Measures in Hybrid HMM/ANN Speech Recognition Systems

Hervé Bourlard, Giulia Bernardis

In this paper we define and investigate a set of confidence measures based on hybrid Hidden Markov Model/Artificial Neural Network (HMM/ANN) acoustic models. All these measures are using the neural network to estimate the local phone posterior probabilitie ...

IDIAP1998

Improving Posterior Based Confidence Measures in Hybrid HMM/ANN Speech Recognition Systems

Hervé Bourlard, Giulia Bernardis

In this paper we define and investigate a set of confidence measures based on hybrid Hidden Markov Model/Artificial Neural Network (HMM/ANN) acoustic models. All these measures are using the neural network to estimate the local phone posterior probabilitie ...

1998

Segment-level training of ANNs based on acoustic confidence measures for hybrid HMM/ANN Speech Recognition

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Robust audio segmentation

Robust Audio Segmentation

Robust Audio Segmentation

HMM mixtures (HMM2) for robust speech recognition

HMM Mixtures (HMM2) for Robust Speech Recognition

HMM Mixtures (HMM2) for Robust Speech Recognition

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

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

Improving Posterior Based Confidence Measures in Hybrid HMM/ANN Speech Recognition Systems

Improving Posterior Based Confidence Measures in Hybrid HMM/ANN Speech Recognition Systems

Robust Audio Segmentation

Robust audio segmentation

Robust Audio Segmentation

HMM Mixtures (HMM2) for Robust Speech Recognition

Improving Posterior Based Confidence Measures in Hybrid HMM/ANN Speech Recognition Systems

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

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

Improving Posterior Based Confidence Measures in Hybrid HMM/ANN Speech Recognition Systems

HMM mixtures (HMM2) for robust speech recognition

HMM Mixtures (HMM2) for Robust Speech Recognition