Publication

Multimedia event modelling and recognition

Related publications (137)

Speaker Normalization using HMM2

Hervé Bourlard, Katrin Weber, Shajith Ikbal

In this paper, we present an HMM2 based method for speaker normalization. Introduced as an extension of Hidden Markov Model (HMM), HMM2 differentiates itself from the regular HMM in terms of the emission density modeling, which is done by a set of state-de ...

2002

Algorithms for Video Structuring

Daniel Gatica-Perez, Jean-Marc Odobez

Video structuring aims at automatically finding structure in a video sequence. Occupying a key-position within video analysis, it is a fundamental step for quality indexing and browsing. As a low level video analysis, video structuring can be seen as a ser ...

IDIAP2002

Probabilistic Home Video Structuring: Feature Selection and Performance Evaluation

Daniel Gatica-Perez

We recently proposed a method to find cluster structure in home videos based on statistical models of visual and temporal features of video segments and sequential binary Bayesian classification. In this paper, we present analysis and improved results on t ...

IDIAP2002

Probabilistic Home Video Structuring: Feature Selection and Performance Evaluation

Daniel Gatica-Perez

2002

Mixed Bayesian Networks with Auxiliary Variables for Automatic Speech Recognition

Hervé Bourlard

Standard hidden Markov models (HMMs), as used in automatic speech recognition (ASR), calculate their emission probabilities by an artificial neural network (ANN) or a Gaussian distribution conditioned on the hidden state variable, considering the emissions ...

2002

Speech Recognition Using Advanced HMM2 Features

Hervé Bourlard, Samy Bengio, Katrin Weber

HMM2 is a particular hidden Markov model where state emission probabilities of the temporal (primary) HMM are modeled through (secondary) state-dependent frequency-based HMMs [12]. As shown in [13], a secondary HMM can also be used to extract robust ASR fe ...

IDIAP2001

Speech Recognition Using Advanced HMM2 Features

Hervé Bourlard, Samy Bengio, Katrin Weber

2001

IDIAP HMM/HMM2 System: Theoretical Basis and Software Specifications

Hervé Bourlard, Samy Bengio, Katrin Weber, Shajith Ikbal

State-of-the-art Automatic Speech Recognition (ASR) systems make extensive use of Hidden Markov Models (HMMs), characterized by flexible statistical modeling, powerful optimization (training) techniques and efficient recognition algorithms. When allowed by ...

IDIAP2001

Combining Neural Gas and Learning Vector Quantization for Cursive Character Recognition

Alessandro Vinciarelli

This paper presents a cursive character recognizer, a crucial module in any Cursive Script Recognition system based on a segmentation and recognition approach. The character classification is achieved by combining the use of Neural Gas (NG) and Learning Ve ...

IDIAP2001

Mixed Bayesian Networks with Auxiliary Variables for Automatic Speech Recognition

Hervé Bourlard

IDIAP2001

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