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Improving Continuous Speech Recognition System Performance with Grapheme Modelling

Publications associées (32)

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Enhanced Phone Posteriors for Improving Speech Recognition Systems

Hervé Bourlard, Hamed Ketabdar

Using phone posterior probabilities has been increasingly explored for improving automatic speech recognition (ASR) systems. In this paper, we propose two approaches for hierarchically enhancing these phone posteriors, by integrating long acoustic context, ...

IDIAP2008

Fast Approximate Spoken Term Detection from Sequence of Phonemes

Hynek Hermansky, Joel Praveen Pinto

We investigate the detection of spoken terms in conversational speech using phoneme recognition with the objective of achieving smaller index size as well as faster search speed. Speech is processed and indexed as a sequence of one best phoneme sequence. W ...

2008

Fast Approximate Spoken Term Detection from Sequence of Phonemes

Hynek Hermansky, Joel Praveen Pinto

IDIAP2008

A study of phoneme and grapheme based context-dependent ASR systems

John David Scott Dines

In this paper we present a study of automatic speech recognition systems using context-dependent phonemes and graphemes as sub-word units based on the conventional HMM/GMM system as well as tandem system. Experimental studies conducted on three different c ...

IDIAP2007

Robust overlapping speech recognition based on neural networks

John David Scott Dines, Weifeng Li

We address issues for improving hands-free speech recognition performance in the presence of multiple simultaneous speakers using multiple distant microphones. In this paper, a log spectral mapping is proposed to estimate the log mel-filterbank outputs of ...

IDIAP2007

Using auxiliary sources of knowledge for automatic speech recognition

Mathew Magimai Doss

Standard hidden Markov model (HMM) based automatic speech recognition (ASR) systems usually use cepstral features as acoustic observation and phonemes as subword units. Speech signal exhibits wide range of variability such as, due to environmental variatio ...

EPFL2005

Using Auxiliary Sources of Knowledge for Automatic Speech Recognition

École Polytechnique Fédérale de Lausanne, Computer Science Department2005

Using Auxiliary Sources of Knowledge for Automatic Speech Recognition

IDIAP2005

Joint Decoding for Phoneme-Grapheme Continuous Speech Recognition

Hervé Bourlard, Samy Bengio

Standard ASR systems typically use phoneme as the subword units. Preliminary studies have shown that the performance of the ASR system could be improved by using grapheme as additional subword units. In this paper, we investigate such a system where the wo ...

2004

Phoneme vs Grapheme Based Automatic Speech Recognition

Hervé Bourlard, Hynek Hermansky, John David Scott Dines

In recent literature, different approaches have been proposed to use graphemes as subword units with implicit source of phoneme information for automatic speech recognition. The major advantage of using graphemes as subword units is that the definition of ...

IDIAP2004