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Publications associées (7)
Cepstral normalisation and the signal to noise ratio spectrum in automatic speech recognition.
Cepstral normalisation in automatic speech recognition is investigated in the context of robustness to additive noise. It is argued that such normalisation leads naturally to a speech feature based on signal to noise ratio rather than absolute energy (or p ...
Idiap2011Cepstral normalisation and the signal to noise ratio spectrum in automatic speech recognition
Cepstral normalisation in automatic speech recognition is investigated in the context of robustness to additive noise. In this paper, it is argued that such normalisation leads naturally to a speech feature based on signal to noise ratio rather than absolu ...
2011Heat transport in model jammed solids
We calculate numerically the normal modes of vibrations in three-dimensional jammed packings of soft spheres as a function of the packing fraction and obtain the energy diffusivity, a spectral measure of transport that controls sound propagation and therma ...
2010Speaker Change Detection with Privacy-Preserving Audio Cues
Hervé Bourlard, Daniel Gatica-Perez, Sree Hari Krishnan Parthasarathi
In this paper we investigate a set of privacy-sensitive audio features for speaker change detection (SCD) in multiparty conversations. These features are based on three different principles: characterizing the excitation source information using linear pre ...
2009Speaker Change Detection with Privacy-Preserving Audio Cues
Hervé Bourlard, Daniel Gatica-Perez, Sree Hari Krishnan Parthasarathi
In this paper we investigate a set of privacy-sensitive audio features for speaker change detection (SCD) in multiparty conversations. These features are based on three different principles: characterizing the excitation source information using linear pre ...
Idiap2009Novel speech processing techniques for robust automatic speech recognition
The goal of this thesis is to develop and design new feature representations that can improve the automatic speech recognition (ASR) performance in clean as well noisy conditions. One of the main shortcomings of the fixed scale (typically 20-30 ms long ana ...
EPFL2006On Multi-scale Fourier Transform Analysis of Speech Signals
In this paper, we introduce a novel algorithm to perform multi-scale Fourier transform analysis of piecewise stationary signals with application to automatic speech recognition. Such signals are composed of quasi-stationary segments of variable lengths. Th ...
IDIAP2003