Publications by Guillermo Aradilla

An Acoustic Model Based on Kullback-Leibler Divergence for Posterior Features

This paper investigates the use of features based on posterior probabilities of subword units such as phonemes. These features are typically transformed when used as inputs for a hidden Markov model with mixture of Gaussians as emission distribution (HMM/G ...

2007

Detection and Recognition of Number Sequences in Spoken Utterances

Guillermo Aradilla, Jitendra Ajmera

In this paper we investigate the detection and recognition of sequences of numbers in spoken utterances. This is done in two steps: first, the entire utterance is decoded assuming that only numbers were spoken. In the second step, non-number segments (garb ...

IDIAP2007

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 ...

2006

Using Posterior-Based Features in Template Matching for Speech Recognition

Hervé Bourlard, Guillermo Aradilla

Given the availability of large speech corpora, as well as the increasing of memory and computational resources, the use of template matching approaches for automatic speech recognition (ASR) have recently attracted new attention. In such template-based ap ...

2006

Using Posterior-Based Features in Template Matching for Speech Recognition

Hervé Bourlard, Guillermo Aradilla

Given the availability of large speech corpora, as well as the increasing of memory and computational resources, the use of template matching approaches for automatic speech recognition (ASR) have recently attracted new attention. In such template-based ap ...

IDIAP2006

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This paper investigates the use of features based on posterior probabilities of subword units such as phonemes. These features are typically transformed when used as inputs for a hidden Markov model with mixture of Gaussians as emission distribution (HMM/G ...

IDIAP2006

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

Improving Speech Recognition Using a Data-Driven Approach

Hervé Bourlard, Guillermo Aradilla

In this paper, we investigate the possibility of enhancing state-of-the-art HMM-based speech recognition systems using data-driven techniques, where whole set of training utterances is used as reference models and recognition is then performed through the ...

IDIAP2005

Improving Speech Recognition Using a Data-Driven Approach

Hervé Bourlard, Guillermo Aradilla

In this paper, we investigate the possibility of enhancing state-of-the-art HMM-based speech recognition systems using data-driven techniques, where whole set of training utterances is used as reference models and recognition is then performed through the ...

2005

Using RASTA in task independent TANDEM feature extraction

John David Scott Dines, Guillermo Aradilla

In this work, we investigate the use of RASTA filter in the TANDEM feature extraction method when trained with a task independent data. RASTA filter removes the linear distortion introduced by the communication channel which is demonstrated in a 18% relat ...

IDIAP2004

Guillermo Aradilla

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An Acoustic Model Based on Kullback-Leibler Divergence for Posterior Features

Detection and Recognition of Number Sequences in Spoken Utterances

Using Pitch as Prior Knowledge in Template-Based Speech Recognition

Using Posterior-Based Features in Template Matching for Speech Recognition

Using Posterior-Based Features in Template Matching for Speech Recognition

Using Pitch as Prior Knowledge in Template-Based Speech Recognition

Improving Speech Recognition Using a Data-Driven Approach

Improving Speech Recognition Using a Data-Driven Approach

Using RASTA in task independent TANDEM feature extraction

An Acoustic Model Based on Kullback-Leibler Divergence for Posterior Features

Improving Speech Recognition Using a Data-Driven Approach

Using Posterior-Based Features in Template Matching for Speech Recognition

Improving Speech Recognition Using a Data-Driven Approach

Detection and Recognition of Number Sequences in Spoken Utterances

Using Pitch as Prior Knowledge in Template-Based Speech Recognition

Using Pitch as Prior Knowledge in Template-Based Speech Recognition

Using Posterior-Based Features in Template Matching for Speech Recognition

Using RASTA in task independent TANDEM feature extraction