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On Structured Sparsity of Phonological Posteriors for Linguistic Parsing

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Model Adaptation for Sentence Unit Segmentation from Speech

Sébastien Cuendet

The sentence segmentation task is a classification task that aims at inserting sentence boundaries in a sequence of words. One of the applications of sentence segmentation is to detect the sentence boundaries in the sequence of words that is output by an a ...

IDIAP2006

Robust audio segmentation

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 ...

EPFL2005

Using Pitch as Prior Knowledge in Template-Based Speech Recognition

Hervé Bourlard, Guillermo Aradilla

In a previous paper on speech recognition, we showed that templates can better capture the dynamics of speech signal compared to parametric models such as hidden Markov models. The key point in template matching approaches is finding the most similar templ ...

IDIAP2005

Speech Acquisition in Meetings with an Audio-Visual Sensor Array

Daniel Gatica-Perez, Darren Moore, Silèye Oumar Ba

Close-talk headset microphones have been traditionally used for speech acquisition in a number of applications, as they naturally provide a higher signal-to-noise ratio -needed for recognition tasks- than single distant microphones. However, in multi-party ...

IDIAP2005

Speech Acquisition in Meetings with an Audio-Visual Sensor Array

Daniel Gatica-Perez, Darren Moore, Silèye Oumar Ba

2005

Automatic Speech Receognition for Human-Machine Interaction

Pierre-André Farine, Michael Ansorge, Sara Grassi Pauletti

Since the sixties, movies such as “2001: A Space Odyssey” have familiarized us with the idea of com-puters that can speak and hear just as a human being does. Automatic speech recogni-tion (ASR) is the technol-ogy that allows machines to interpret human sp ...

2005

Improving Continuous Speech Recognition System Performance with Grapheme Modelling

Hervé Bourlard, Hynek Hermansky, John David Scott Dines

This paper investigates automatic speech recognition system using context-dependent graphemes as subword units based on the conventional HMM/GMM system as well as TANDEM system. Experimental studies conducted on two different continuous speech recognition ...

IDIAP2005

Robust Audio Segmentation

Hervé Bourlard, Jitendra Ajmera

IDIAP2004

Robust Audio Segmentation

Hervé Bourlard, Jitendra Ajmera

École Polytechnique Fédérale de Lausanne2004

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 ...

2004