Ivan Magrin-chagnolleau, Nathalie Parlangeau-vallès
This paper presents an overview of audio indexing, which has emerged very recently as a research topic with the development of Internet. A lot of data, including audio data, are currently not indexed...
Ivan Magrin-chagnolleau, Jean-francois Bonastre
Second-order statistical methods show very good results for automatic speaker identi cation in controlled recording conditions [2]. These approaches are generally used on the entire speech material...
Multiscale texture segmentation of dip-cube slices using wavelet-domain hidden Markov trees (2008)
Ivan Magrin-chagnolleau, Hyeokho Choi, Rutger Van Spaendonck, Richard G. Baraniuk
Wavelet-domain hidden Markov models (HMMs) are powerful tools for modeling the statistical properties of wavelet transforms. By characterizing the joint statistics of wavelet coe cients, HMMs e...
A Further Investigation On AR-Vector Models For Text-Independent Speaker Identification (2008)
Ivan Magrin-chagnolleau, Joachim Wilke, Frédéric BIMBOT
In this paper, we investigate on the role of dynamic information on the performances of AR-vector models for speaker recognition. To this purpose, we design an experimental protocol that destroys the...
A Further Investigation On Ar-Vector Models For Text-Independent Speaker Identification (2007)
Ivan Magrin-chagnolleau, Joachim Wilke
In this paper, we investigate on the role of dynamic information on the performances of AR-vector models for speaker recognition. To this purpose, we design an experimental protocol that destroys the...
Second-order statistical methods show very good results for automatic speaker identification in controlled recording conditions [2]. These approaches are generally used on the entire speech material...
Jean-françois Bonastre, Ivan Magrin-chagnolleau, Stephan Euler, François Pellegrino, Régine André-obrecht, John Mason, ...
Ivan Magrin-chagnolleau, Frédéric Bimbot
In this paper, we present an algorithm for the tracking of target speakers in telephone conversations. Speaker tracking consists in retrieving, in an audio recording, segments which have been uttered...
A FURTHER INVESTIGATION ON AR-VECTOR MODELS FOR TEXT-INDEPENDENT SPEAKER IDENTIFICATION (2007)
Ivan Magrin-chagnolleau, Joachim Wilke, Frederic Bimbot
In this paper, we investigate on the role of dynamic information on the performances of AR-vector models for speaker recognition. To this purpose, we design an experimental protocol that destroys the...
Multiscale texture segmentation of dip-cube slices using wavelet-domain hidden Markov trees (2007)
Ivan Magrin-chagnolleau, Hyeokho Choi, Rutger Van Spaendonck, Richard G. Baraniuk
Wavelet-domain hidden Markov models (HMMs) are powerful tools for modeling the statistical properties of wavelet transforms. By characterizing the joint statistics of wavelet coe cients, HMMs e...
Ivan Magrin-chagnolleau, Nathalie Parlangeau-vallès
This paper presents an overview of audio indexing, which has emerged very recently as a research topic with the development of Internet. A lot of data, including audio data, are currently not indexed...
INTELLIGIBILITY OF REVERSE SPEECH IN FRENCH: A PERCEPTUAL STUDY (2007)
Ivan Magrin-chagnolleau, Melissa Barkat, Fanny Meunier
We ran an experiment focusing on cognitive implication of reverse speech segments. Nine durations of reverse speech plus a non-distorted control condition have been considered (varying between 20 ms...
Ivan Magrin-chagnolleau, Jean-francois Bonastre
Second-order statistical methods show very good results for automatic speaker identi cation in controlled recording conditions [2]. These approaches are generally used on the entire speech material...
Moraru Daniel, Sylvain Meignier, Besacier Laurent, Jean-françois Bonastre, Ivan Magrin-chagnolleau
paper presents the ELISA consortium activities in automatic This segmentation during last NIST 2002 evaluation: two speaker approaches from CLIPS and LIA laboratories are different and the...
LANGUAGE RECOGNITION USING TIME-FREQUENCY PRINCIPAL COMPONENT ANALYSIS AND ACOUSTIC MODELING (2007)
Michel Dutat, Ivan Magrin-chagnolleau, Frédéric Bimbot
Time-Frequency Principal Component (TFPC) is a speech parameterization technique based on a principal component analysis applied to acoustic feature parameters augmented by their time context. In...
Application of Vector Filtering to Pattern Recognition (2007)
Ivan Magrin-chagnolleau, Geoffrey Durou
In this paper, we present a new formalism, called vector filtering, which consists in transforming a sequence of vectors through a matricial filtering. This formalism allows us to unify a number of...
Ivan Magrin-chagnolleau, Fr Eric Bimbot
In this paper, we present an algorithm for the tracking of target speakers in telephone conversations. Speaker tracking consists in retrieving, in an audio recording, segments which have been uttered...
Second-order statistical methods show very good results for automatic speaker identification in controlled recording conditions [2]. These approaches are generally used on the entire speech material...
A Tutorial on Text-Independent Speaker Verification (2004)
Frédéric Bimbot, Jean-François Bonastre, Corinne Fredouille, Guillaume Gravier, Ivan Magrin-Chagnolleau, Sylvain Meignier, ...
This paper presents an overview of a state-of-the-art text-independent speaker verification system. First, an introduction proposes a modular scheme of the training and test phases of a speaker...
A Tutorial on Text-Independent Speaker Verification (2004)
Douglas A. Reynolds, Dijana Petrovska-Delacrétaz, Javier Ortega-García, Teva Merlin, Sylvain Meignier, Ivan Magrin-Chagnolleau, ...
This paper presents an overview of a state-of-the-art text-independent speaker verification system. First, an introduction proposes a modular scheme of the training and test phases of a speaker...
A Tutorial on Text-Independent Speaker Verification (2004)
Frédéric Bimbot, Jean-François Bonastre, Corinne Fredouille, Guillaume Gravier, Ivan Magrin-Chagnolleau, Sylvain Meignier, ...
This paper presents an overview of a state-of-the-art text-independent speaker verification system. First, an introduction proposes a modular scheme of the training and test phases of a speaker...
Sylvain Meignier, Jean-françois Bonastre, Ivan Magrin-chagnolleau
Speaker indexing of an audio database consists in organizing the audio data according to the speakers present in the database. It is composed of three steps: (1) segmentation by speakers of each...
Sylvain Meignier, Jean-françois Bonastre, Ivan Magrin-chagnolleau
Speaker indexing of an audio database consists in organizing the audio data according to the speakers present in the database. It is composed of three steps: (1) segmentation by speakers of each...
Overview of the 2000-2001 elisa consortium research activities (2001)
Ivan Magrin-chagnolleau, Guillaume Gravier, Raphaël Blouet
This paper summarizes the research activities in speaker recognition in the framework of the ELISA consortium. The ELISA speaker recognition common platform is first presented, including the common...
Experiments on speech tracking in audio documents using Gaussian Mixture Modeling (2001)
Mouhamadou Seck, Ivan Magrin-chagnolleau, Frédéric Bimbot
This paper deals with the tracking of speech segments in audio documents. We use a cepstral-based acoustic analysis and gaussian mixture models for the representation of the training data. Three ways...
Application of time-frequency principal component analysis to speaker verification (2000)
Ivan Magrin-chagnolleau, Geoffrey Durou I, I Facult, Polytechnique Mons
This article presents the RIMO/ELISA speaker verification system which has been used in the 1999 NIST speaker recognition evaluation. This system is based on a new technique for analyzing speech...
Application of time-frequency principal component analysis to speaker verification (2000)
Ivan Magrin-chagnolleau, Geoffrey Durou
This article presents the RIMO/ELISA speaker verification system which has been used in the 1999 NIST speaker recognition evaluation. This system is based on a new technique for analyzing speech...
Empirical mode decomposition based time-frequency attributes (1999)
Ivan Magrin-chagnolleau, Richard G. Baraniuk
This paper describes a new technique, called the empirical mode decomposition (EMD), that allows the decomposition of one-dimensional signals into intrinsic oscillatory modes. The components, called...
Detection of target speakers in audio databases (1999)
Ivan Magrin-chagnolleau, Aaron E. Rosenberg, S. Parthasarathy
The problem of speaker detection in audio databases is addressed in this paper. Gaussian mixture modeling is used to build target speaker and background models. A detection algorithm based on a...
Time-frequency principal components of speech: application to speaker identification (1999)
Ivan Magrin-chagnolleau, Geoffrey Durou
In this paper, we propose a formalism, called vector filtering of spectral trajectories, which allows to integrate under a common formalism a lot of speech parameterization approaches. We then...
Empirical mode decomposition based time-frequency attributes (1999)
Ivan Magrin-chagnolleau, Richard G. Baraniuk
This paper describes a new technique, called the empirical mode decomposition (EMD), that allows the decomposition of one-dimensional signals into intrinsic oscillatory modes. The components, called...
Detection Of Target Speakers In Audio Databases (1999)
Ivan Magrin-chagnolleau, Aaron E. Rosenberg, S. Parthasarathy
The problem of speaker detection in audio databases is addressed in this paper. Gaussian mixture modeling is used to build target speaker and background models. A detection algorithm based on a...
Empirical mode decomposition based time-frequency attributes (1999)
Ivan Magrin-chagnolleau, Richard G. Baraniuk
This paper describes a new technique, called the empirical mode decomposition (EMD), that allows the decomposition of one-dimensional signals into intrinsic oscillatory modes. The components, called...
Speaker detection in broadcast speech databases (1998)
Aaron E. Rosenberg, Ivan Magrin-chagnolleau, S. Parthasarathy, Qian Huang
Experiments have been carried out to assess the feasibility of detecting target speaker segments in multi-speaker broadcast databases. The experimental database consists of NBC Nightly News...
SCAN - speech content based audio navigator: a systems overview (1998)
John Choi, Don Hindle, Julia Hirschberg, Ivan Magrin-chagnolleau, Christine Nakatani, O Pereira, ...
SCAN (Speech Content based Audio Navigator) is a spoken document retrieval system integrating speaker-independent, large-vocabulary speech recognition with information-retrieval to support...
An overview of the AT&T spoken document retrieval (1998)
John Choi, Don Hindle, Julia Hirschberg, Ivan Magrin-chagnolleau, Christine Nakatani, O Pereira, ...
We present an overview of a spoken document retrieval system developed at AT&T Labs-Research for the HUB4 Broadcast News corpus. This overview includes a description of the intonational phrase...
SCAN - speech content based audio navigator: a systems overview (1998)
John Choi, Don Hindle, Julia Hirschberg, Ivan Magrin-chagnolleau, Christine Nakatani, O Pereira, ...
SCAN (Speech Content based Audio Navigator) is a spoken document retrieval system integrating speaker-independent, large-vocabulary speech recognition with information-retrieval to support...
An overview of the AT&T spoken document retrieval (1998)
John Choi, Don Hindle, Julia Hirschberg, Ivan Magrin-chagnolleau, Christine Nakatani, O Pereira, ...
We present an overview of a spoken document retrieval system developed at AT&T Labs-Research for the HUB4 Broadcast News corpus. This overview includes a description of the intonational phrase...
An overview of the AT&T spoken document retrieval (1998)
John Choi, Don Hindle, Julia Hirschberg, Ivan Magrin-chagnolleau, Christine Nakatani, O Pereira, ...
We present an overview of a spoken document retrieval system developed at AT&T Labs-Research for the HUB4 Broadcast News corpus. This overview includes a description of the intonational phrase...
SCAN - Speech Content Based Audio Navigator: A Systems Overview (1998)
John Choi Don, John Choi, Don Hindle, Julia Hirschberg, Ivan Magrin-chagnolleau, Christine Nakatani, ...
SCAN (Speech Content based Audio Navigator) is a spoken document retrieval system integrating speaker-independent, large-vocabulary speech recognition with information-retrieval to support...
An Overview Of The Att Spoken Document Retrieval (1998)
John Choi, Don Hindle, Julia Hirschberg, Ivan Magrin-chagnolleau, Christine Nakatani, Fernando Pereira, ...
We present an overview of a spoken document retrieval system developed at AT&T Labs-Research for the HUB4 Broadcast News corpus. This overview includes a description of the intonational phrase...
An Overview Of The Att Spoken Document Retrieval (1998)
John Choi Don, John Choi, Don Hindle, Julia Hirschberg, Ivan Magrin-chagnolleau, Christine Nakatani, ...
We present an overview of a spoken document retrieval system developed at AT&T Labs-Research for the HUB4 Broadcast News corpus. This overview includes a description of the intonational phrase...
SCAN - Speech Content Based Audio Navigator: A Systems Overview (1998)
John Choi, Don Hindle, Julia Hirschberg, Ivan Magrin-chagnolleau, Christine Nakatani, Fernando Pereira, ...
SCAN (Speech Content based Audio Navigator) is a spoken document retrieval system integrating speaker-independent, large-vocabulary speech recognition with information-retrieval to support...
SCAN - speech content based audio navigator: a systems overview (1998)
John Choi, Don Hindle, Julia Hirschberg, Ivan Magrin-chagnolleau, Christine Nakatani, O Pereira, ...
SCAN (Speech Content based Audio Navigator) is a spoken document retrieval system integrating speaker-independent, large-vocabulary speech recognition with information-retrieval to support...
An overview of the AT&T spoken document retrieval (1998)
John Choi, Don Hindle, Julia Hirschberg, Ivan Magrin-chagnolleau, Christine Nakatani, O Pereira, ...
We present an overview of a spoken document retrieval system developed at AT&T Labs-Research for the HUB4 Broadcast News corpus. This overview includes a description of the intonational phrase...
Second-order statistical measures for text-independent speaker identification (1995)
Frederic Bimbot, Ivan Magrin-chagnolleau, Luc Mathan, Ecole Nationale, Superieure Telecommunications
This article presents an overview of several measures for speaker recognition. These measures relate to second-order statistical tests, and can be expressed under a common formalism. Alternate...
Second-Order Statistical Measures for Text-Independent Speaker Identification (1995)
Frédéric Bimbot, Ivan Magrin-chagnolleau, Luc Mathan, Ecole Nationale
This article presents an overview of several measures for speaker recognition. These measures relate to second-order statistical tests, and can be expressed under a common formalism. Alternate...
Second-Order Statistical Measures for Text-Independent Speaker Identification (1995)
Frederic Bimbot, Ivan Magrin-Chagnolleau, Luc Mathan
This article presents an overview of several measures for speaker recognition. These measures relate to second-order statistical tests, and can be expressed under a common formalism. Alternate...
Second-Order Statistical Measures for Text-Independent Speaker Identification (1995)
Fr'ed'eric Bimbot, Ivan Magrin-chagnolleau, Luc Mathan, Ecole Nationale
This article presents an overview of several measures for speaker recognition. These measures relate to second-order statistical tests, and can be expressed under a common formalism. Alternate...
Second-order statistical measures for text-independent speaker identification (1995)
Frederic Bimbot, Ivan Magrin-chagnolleau, Luc Mathan, Ecole Nationale, Superieure Telecommunications
This article presents an overview of several measures for speaker recognition. These measures relate to second-order statistical tests, and can be expressed under a common formalism. Alternate...