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Wordless Sounds: Robust Speaker Diarization using Privacy-Preserving Audio Representations

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TODE: A Decoder for Continuous Speech Recognition

Darren Moore

This document describes a new continuous speech decoder, TODE, which is compatible with the Torch machine learning software library. A brief theory of speech recognition is presented followed by a detailed description of the architecture of TODE and the co ...

IDIAP2002

User Customized HMM/ANN Based Speaker Verification

Hervé Bourlard

In this paper, we describe a new speaker verification approach, using a hybrid HMM/ANN system, and accommodating user customized passwords. This system is exploiting the high phonetic recognition rates usually achieved by HMM/ANN speaker independent system ...

IDIAP2001

From missing data to maybe useful data: soft data modelling for noise robust ASR

Hervé Bourlard

Much research has been focused on the problem of achieving automatic speech recognition (ASR) which approaches human recognition performance in its level of robustness to noise and channel distortion. We present here a new approach to data modelling which ...

2001

From missing data to maybe useful data: soft data modelling for noise robust ASR

Hervé Bourlard

IDIAP2001

Multiple Timescale Feature Combination towards Robust Speech Recognition

Katrin Weber

While a lot of progress has been made during the last years in the field of Automatic Speech recognition (ASR), one of the main remaining problems is that of robustness. Typically, state-of-the-art ASR systems work very efficiently in well-defined environm ...

2000

Multiple Timescale Feature Combination towards Robust Speech Recognition

Katrin Weber

IDIAP2000

Behavior of a Bayesian adaptation method for incremental enrollment in speaker verification

Jean Hennebert

Classical adaptation approaches are generally used for speaker or environment adaptation of speech recognition systems. In this paper, we use such techniques for the incremental training of client models in a speaker verification system. The initial model ...

2000

Behavior of a Bayesian adaptation method for incremental enrollment in speaker verification

Jean Hennebert

IDIAP2000

New time-frequency derived cepstral coefficients for automatic speech recognition

The goal is to improve recognition rate by optimisation of Mel Frequency Cepstral Coefficients (MFCCs): modifications concern the time-frequency representation used to estimate these coefficients. There are many ways to obtain a spectrum out of a signal wh ...

1996