Publications by Fabio Valente | EPFL Graph Search

Multistream speaker diarization of meetings recordings beyond MFCC and TDOA features

Hervé Bourlard, Deepu Vijayasenan, Fabio Valente

Many state-of-the-art diarization systems for meeting recordings are based on the HMM/GMM framework and the combination of spectral (MFCC) and time delay of arrivals (TDOA) features. This paper presents an extensive study on how multistream diarization can ...

2012

Current trends in multilingual speech processing

Hervé Bourlard, Mathew Magimai Doss, David Imseng, Petr Motlicek, Hui Liang, Lakshmi Babu Saheer, John David Scott Dines, Fabio Valente, Philip Neil Garner

In this paper, we describe recent work at Idiap Research Institute in the domain of multilingual speech processing and provide some insights into emerging challenges for the research community. Multilingual speech processing has been a topic of ongoing int ...

2011

Transcribing Mandarin Broadcast Speech Using Multi-Layer Perceptron Acoustic Features

Mathew Magimai Doss, Fabio Valente, Wen Wang

Recently, several multi-layer perceptron (MLP)- based front-ends have been developed and used for Mandarin speech recognition, often showing significant complementary properties to conventional spectral features. Although widely used in multiple Mandarin s ...

2011

An Information Theoretic Combination of MFCC and TDOA Features for Speaker Diarization

Hervé Bourlard, Deepu Vijayasenan, Fabio Valente

This correspondence describes a novel system for speaker diarization of meetings recordings based on the combination of acoustic features (MFCC) and time delay of arrivals (TDOAS). The first part of the paper analyzes differences between MFCC and TDOA feat ...

2011

Hierarchical and Parallel Processing of Auditory and Modulation Frequencies for Automatic Speech Recognition

Fabio Valente

2010

Multi-Stream Speech Recognition based on Dempster-Shafer Combination Rule

Fabio Valente

2010

A Novel Criterion for Classifiers Combination in Multistream Speech Recognition

Fabio Valente

In this paper we propose a novel information theoretic criterion for optimizing the linear combination of classifiers in multi stream automatic speech recognition. We discuss an objective function that achieves a trade-off between the minimization of a bou ...

IEEE Institute of Electrical and Electronics Engineers2009

An Information Theoretic Approach to Speaker Diarization of Meeting Data

Hervé Bourlard, Deepu Vijayasenan, Fabio Valente

A speaker diarization system based on an information theoretic framework is described. The problem is formulated according to the Information Bottleneck (IB) principle. Unlike other approaches where the distance between speaker segments is arbitrarily intr ...

2009