Concept

Déformation temporelle dynamique

Publications associées (23)

Adaptive Path Interpolation Method for Sparse Systems: Application to a Censored Block Model

Nicolas Macris, Jean François Emmanuel Barbier, Chun Lam Chan

Recently, a new adaptive path interpolation method has been developed as a simple and versatile scheme to calculate exactly the asymptotic mutual information of Bayesian inference problems defined on dense factor graphs. These include random linear and gen ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Novel real-time alignment and calibration of the LHCb detector in Run II

Zhirui Xu, Mark Tobin

An automatic real-time alignment and calibration strategy of the LHCb detector was developed for the Run II. Thanks to the online calibration, tighter event selection criteria can be used in the trigger. Furthermore, the online calibration facilitates the ...

Elsevier Science Bv2016

DEEP NEURAL NETWORK BASED POSTERIORS FOR TEXT-DEPENDENT SPEAKER VERIFICATION

Petr Motlicek, Subhadeep Dey

The i-vector and Joint Factor Analysis (JFA) systems for text- dependent speaker verification use sufficient statistics computed from a speech utterance to estimate speaker models. These statis- tics average the acoustic information over the utterance ther ...

IEEE2016

DEEP NEURAL NETWORK BASED POSTERIORS FOR TEXT-DEPENDENT SPEAKER VERIFICATION

Petr Motlicek, Subhadeep Dey

Idiap2016

Unified Framework of Feature Based Adaptation for Statistical Speech Synthesis and Recognition

Lakshmi Babu Saheer

The advent of statistical parametric speech synthesis has paved new ways to a unified framework for hidden Markov model (HMM) based text to speech synthesis (TTS) and automatic speech recognition (ASR). The techniques and advancements made in the field of ...

EPFL2013

Unified Framework Of Feature Based Adaptation For Statistical Speech Synthesis And Recognition

Lakshmi Babu Saheer

Ecole Polytechnique Federale de Lausanne (EPFL)2012

Automatic Temporal Alignment of AV Data with Confidence Estimation

Philip Neil Garner, John David Scott Dines, Danil Korchagin

In this paper, we propose a new approach for the automatic audio-based temporal alignment with confidence estimation of audio-visual data, recorded by different cameras, camcorders or mobile phones during social events. All recorded data is temporally alig ...

2010

Automatic Temporal Alignment of AV Data

Philip Neil Garner, John David Scott Dines, Danil Korchagin

In this paper, we describe the automatic audio-based temporal alignment of audio-visual data, recorded by different cameras, camcorders or mobile phones during social events like high school concerts. All recorded data is temporally aligned with a common m ...

Idiap2009

Automatic Temporal Alignment of AV Data with Confidence Estimation

Philip Neil Garner, John David Scott Dines, Danil Korchagin

Idiap2009

Static Models of Derivative-Coordinates Phase Spaces for Multivariate Time Series Classification: An Application to Signature Verification

Jonas Richiardi, Andrzej Drygajlo, Krzysztof Kryszczuk

Multivariate time series are sequences, whose order is provided by a time index; thus, most classifiers used on such data treat time as a special quantity, and encode it, structurally in a model. A typical example of such models is the hidden Markov model, ...

Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2009

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