Publications related to Speech

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 ...

École Polytechnique Fédérale de Lausanne2004

Spectral Entropy Based Feature for Robust ASR

Hervé Bourlard, Hynek Hermansky, Hemant Misra, Shajith Ikbal

In general, entropy gives us a measure of the number of bits required to represent some information. When applied to probability mass function (PMF), entropy can also be used to measure the ``peakiness'' of a distribution. In this paper, we propose using t ...

2004

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

Nonlinear feature transformations for noise robust speech recognition

Shajith Ikbal

Robustness against external noise is an important requirement for automatic speech recognition (ASR) systems, when it comes to deploying them for practical applications. This thesis proposes and evaluates new feature-based approaches for improving the ASR ...

EPFL2004

Noisy Text Clustering

David Grangier, Alessandro Vinciarelli

This work presents document clustering experiments performed over noisy texts (i.e. text that have been extracted through an automatic process like speech or character recognition). The effect of recognition errors on different clustering techniques is mea ...

IDIAP2004

Towards Robust and Adaptive Speech Recognition Models

Hervé Bourlard, Samy Bengio, Katrin Weber

In this paper, we discuss a family of new Automatic Speech Recognition (ASR) approaches, which somewhat deviate from the usual ASR approaches but which have recently been shown to be more robust to nonstationary noise, without requiring specific adaptation ...

Springer2004

An Online Audio Indexing System

Hervé Bourlard, Jitendra Ajmera

This paper presents overview of an online audio indexing system, which creates a searchable index of speech content embedded in digitized audio files. This system is based on our recently proposed offline audio segmentation techniques. As the data arrives ...

IDIAP2003

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

Spectral Entropy Based Feature for Robust ASR

Hervé Bourlard, Hynek Hermansky, Hemant Misra, Shajith Ikbal

In general, entropy gives us a measure of the number of bits required to represent some information. When applied to probability mass function (PMF), entropy can also be used to measure the ``peakiness'' of a distribution. In this paper, we propose using t ...

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

Graph Chatbot

Chat with Graph Search

Robust Audio Segmentation

Spectral Entropy Based Feature for Robust ASR

Towards using hierarchical posteriors for flexible automatic speech recognition systems

Nonlinear feature transformations for noise robust speech recognition

Noisy Text Clustering

Towards Robust and Adaptive Speech Recognition Models

An Online Audio Indexing System

Some Emerging Concepts in Speech Recognition.

Spectral Entropy Based Feature for Robust ASR

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

Robust Audio Segmentation

An Online Audio Indexing System

Nonlinear feature transformations for noise robust speech recognition

Noisy Text Clustering

Spectral Entropy Based Feature for Robust ASR

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

Towards using hierarchical posteriors for flexible automatic speech recognition systems

Towards Robust and Adaptive Speech Recognition Models

Some Emerging Concepts in Speech Recognition.

Spectral Entropy Based Feature for Robust ASR