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Novel Methods for Incorporating Prior Knowledge for Automatic Speech Assessment

Publications associées (134)

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Robust Speaker Diarization for Short Speech Recordings

David Imseng

We investigate a state-of-the-art Speaker Diarization system regarding its behavior on meetings that are much shorter (from 500 seconds down to 100 seconds) than those typically analyzed in Speaker Diarization benchmarks. First, the problems inherent to th ...

2009

Robust Speaker Diarization for Short Speech Recordings

David Imseng

Idiap2009

Keyword Detection for Spontaneous Speech

Hervé Bourlard, Aude Billard, Weifeng Li

This paper presents a system for keyword detection in spontaneous speech. Keywords are predefined through a set of acoustic examples provided by the users. Keyword detection proceeds in two steps: keyword searching and verification. To address the problem ...

2009

A Neural Network based Regression Approach for Recognizing Simultaneous Speech

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This paper presents our approach for automatic speech recognition (ASR) of overlapping speech. Our system consists of two principal components: a speech separation component and a feature estmation component. In the speech separation phase, we first estima ...

IDIAP2008

Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods

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This is the first book dedicated to uniting research related to speech and speaker recognition based on the recent advances in large margin and kernel methods. The first part of the book presents theoretical and practical foundations of large margin and ke ...

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Enhancing posterior based speech recognition systems

Hamed Ketabdar

The use of local phoneme posterior probabilities has been increasingly explored for improving speech recognition systems. Hybrid hidden Markov model / artificial neural network (HMM/ANN) and Tandem are the most successful examples of such systems. In this ...

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Enhancing posterior based speech recognition systems

Hamed Ketabdar

Ecole Polytechnique Fédérale de Lausanne2008

Introducing Temporal Asymmetries in Feature Extraction for Automatic Speech Recognition

Hynek Hermansky

We propose a new auditory inspired feature extraction technique for automatic speech recognition (ASR). Features are extracted by filtering the temporal trajectory of spectral energies in each critical band of speech by a bank of finite impulse response (F ...

2008

Introducing Temporal Asymmetries in Feature Extraction for Automatic Speech Recognition

Hynek Hermansky

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A multimodal pattern recognition framework for speaker detection

Patricia Besson

Speaker detection is an important component of a speech-based user interface. Audiovisual speaker detection, speech and speaker recognition or speech synthesis for example find multiple applications in human-computer interaction, multimedia content indexin ...

EPFL2007