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Hervé Bourlard

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Related publications (71)

On Application Of Non-Negative Matrix Factorization for Ad Hoc Microphone Array Calibration from Incomplete Noisy Distances

Hervé Bourlard, Afsaneh Asaei, Mohammadjavad Taghizadeh

We propose to use non-negative matrix factorization (NMF) to estimate the unknown pairwise distances and reconstruct a distance matrix for microphone array position calibration. We develop new multiplicative update rules for NMF with incomplete input matri ...

2015

Robust Microphone Placement for Source Localization from Noisy Distance Measurements

Hervé Bourlard, Afsaneh Asaei, Mohammadjavad Taghizadeh, Philip Neil Garner, Saeid Haghighatshoar

We propose a novel algorithm to design an optimum array geometry for source localization inside an enclosure. We assume a square-law decay propagation model for the sound acquisition so that the additive noise on the measured source-microphone distances is ...

2015

Novel GCC-PHAT Model in Diffuse Sound Field for Microphone Array Pairwise Distance Based Calibration

Hervé Bourlard, Afsaneh Asaei, Mohammadjavad Taghizadeh

We propose a novel formulation of the generalized cross correlation with phase transform (GCC-PHAT) for a pair of microphones in diffuse sound field. This formulation elucidates the links between the microphone distances and the GCC-PHAT output. Hence, it ...

2015

On Compressibility of Neural Network phonological Features for Low Bit Rate Speech Coding

Hervé Bourlard, Afsaneh Asaei, Milos Cernak

Phonological features extracted by neural network have shown interesting potential for low bit rate speech vocoding. The span of phonological features is wider than the span of phonetic features, and thus fewer frames need to be transmitted. Moreover, the ...

2015

Automatic Recognition of Emergent Social Roles in Small Group Interactions

Hervé Bourlard, Ashtosh Sapru

This paper investigates the automatic recognition of social roles that emerge naturally in small groups. These roles represent a flexible classification scheme that can generalize across different scenarios of small group interaction. We systematically inv ...

Ieee-Inst Electrical Electronics Engineers Inc2015

Spatial Sound Localization via Multipath Euclidean Distance Matrix Recovery

Hervé Bourlard, Afsaneh Asaei, Mohammadjavad Taghizadeh, Philip Neil Garner, Saeid Haghighatshoar

A novel localization approach is proposed in order to find the position of an individual source using recordings of a single microphone in a reverberant enclosure. The multipath propagation is modeled by multiple virtual microphones as images of the actual ...

Ieee-Inst Electrical Electronics Engineers Inc2015

Overlapping speech detection using long-term conversational features for speaker diarization in meeting room conversations

Hervé Bourlard, Sree Harsha Yella

Overlapping speech has been identified as one of the main sources of errors in diarization of meeting room conversations. Therefore, overlap detection has become an important step prior to speaker diarization. Studies on conversational analysis have shown ...

2014

Structured Sparsity Models for Reverberant Speech Separation

Hervé Bourlard, Mohammad Golbabaee, Afsaneh Asaei, Volkan Cevher

We tackle the multi-party speech recovery problem through modeling the acoustic of the reverberant chambers. Our approach exploits structured sparsity models to perform room modeling and speech recovery. We propose a scheme for characterizing the room acou ...

2014

Model-based Sparse Component Analysis for Reverberant Speech Localization

Hervé Bourlard, Afsaneh Asaei, Mohammadjavad Taghizadeh, Volkan Cevher

In this paper, the problem of multiple speaker localization via speech separation based on model-based sparse recovery is studies. We compare and contrast computational sparse optimization methods incorporating harmonicity and block structures as well as a ...

2014

Robust Log-Energy Estimation and its Dynamic Change Enhancement for In-car Speech Recognition

Hervé Bourlard, Weifeng Li

The log-energy parameter, typically derived from a full-band spectrum, is a critical feature commonly used in automatic speech recognition (ASR) systems. However, log-energy is difficult to estimate reliably in the presence of background noise. In this pap ...

Ieee-Inst Electrical Electronics Engineers Inc2013

Improved overlap speech diarization of meeting recordings using long-term conversational features

Hervé Bourlard, Sree Harsha Yella

Overlapping speech is a source of significant errors in speaker diarization of spontaneous meeting recordings. Recent works on speaker diarization have attempted to solve the problem of overlap detection using classifiers trained on acoustic and spatial fe ...

IEEE2013

Wordless Sounds: Robust Speaker Diarization using Privacy-Preserving Audio Representations

Hervé Bourlard, Daniel Gatica-Perez, Sree Hari Krishnan Parthasarathi

This paper investigates robust privacy-sensitive audio features for speaker diarization in multiparty conversations: ie., a set of audio features having low linguistic information for speaker diarization in a single and multiple distant microphone scenario ...

2013

Applying Multi- and Cross-Lingual Stochastic Phone Space Transformations to Non-Native Speech Recognition

Hervé Bourlard, Mathew Magimai Doss, David Imseng, John David Scott Dines, Philip Neil Garner

In the context of hybrid HMM/MLP Automatic Speech Recognition (ASR), this paper describes an investigation into a new type of stochastic phone space transformation, which maps "source" phone (or phone HMM state) posterior probabilities (as obtained at the ...

Ieee-Inst Electrical Electronics Engineers Inc2013

Real-Time Audio-Visual Analysis for Multiperson Videoconferencing

Hervé Bourlard, Jean-Marc Odobez, Petr Motlicek, Danil Korchagin

We describe the design of a system consisting of several state-of-the-art real-time audio and video processing components enabling multimodal stream manipulation (e.g., automatic online editing for multiparty videoconferencing applications) in open, uncons ...

2013

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

Computational Methods For Structured Sparse Component Analysis of Convolutive Speech Mixtures

Hervé Bourlard, Afsaneh Asaei, Volkan Cevher

We cast the under-determined convolutive speech separation as sparse approximation of the spatial spectra of the mixing sources. In this framework we compare and contrast the major practical algorithms for structured sparse recovery of speech signal. Speci ...

2012

Finding Information in Multimedia Meeting Records

Hervé Bourlard, Andrei Popescu-Belis

This paper surveys the work carried out within two large consortia, AMI and IM2, on improving access to records of human meetings thanks to multimodal interfaces called meeting browsers. These tools help users navigate through multimedia records containing ...

2012

Method, apparatus and computer program product for determining the location of a plurality of speech sources

Hervé Bourlard, Afsaneh Asaei, Volkan Cevher

The present invention discloses a method, apparatus and computer program product for determining the location of a plurality of speech sources in an area of interest, comprising performing an algorithm on a signal issued by either one of said plurality of ...

2012

Structured Sparse Coding for Microphone Array Location Calibration

Hervé Bourlard, Afsaneh Asaei, Volkan Cevher

We address the problem of microphone location cali- bration where the sensor positions have a sparse spatial approximation on a discretized grid. We characterize the microphone signals as a sparse vector represented over a codebook of multi-channel signals ...

2012

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

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