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Guillaume Lathoud

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Publications associées (53)

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A Sector-Based Approach for Localization of Multiple Speakers with Microphone Arrays

Guillaume Lathoud

Microphone arrays are useful in meeting rooms, where speech needs to be acquired and segmented. For example, automatic speech segmentation allows enhanced browsing experience, and facilitates automatic analysis of large amounts of data. Spontaneous multi-p ...

2004

A Sector-Based, Frequency-Domain Approach to Detection and Localization of Multiple Speakers

Guillaume Lathoud

Detection and localization of speakers with microphone arrays is a difficult task due to the wideband nature of speech signals, the large amount of overlaps between speakers in spontaneous conversations, and the presence of noise sources. Many existing aud ...

IDIAP2004

Speech-based command interfaces are becoming more and more common in cars. Applications include automatic dialog systems for hands-free phone calls as well as more advanced features such as navigation systems. However, interferences, such as speech from th ...

IDIAP2004

Unsupervised Location-Based Segmentation of Multi-Party Speech

Jean-Marc Odobez, Guillaume Lathoud

Accurate detection and segmentation of spontaneous multi-party speech is crucial for a variety of applications, including speech acquisition and recognition, as well as higher-level event recognition. However, the highly sporadic nature of spontaneous spee ...

2004

IDIAP2004

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We address the problem of clustering multimodal group actions in meetings using a two-layer HMM framework. Meetings are structured as sequences of group actions. Our approach aims at creating one cluster for each group action, where the number of group act ...

IDIAP2004

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2004

Automatic Analysis of Multimodal Group Actions in Meetings

Daniel Gatica-Perez, Samy Bengio, Guillaume Lathoud, Dong Zhang, Mark Barnard

This paper investigates the recognition of group actions in meetings. A statistical framework is proposed in which group actions result from the interactions of the individual participants. The group actions are modelled using different HMM-based approache ...

2004

AV16.3: an Audio-Visual Corpus for Speaker Localization and Tracking

Daniel Gatica-Perez, Jean-Marc Odobez, Guillaume Lathoud

Assessing the quality of a speaker localization or tracking algorithm on a few short examples is difficult, especially when the ground-truth is absent or not well defined. One step towards systematic performance evaluation of such algorithms is to provide ...

IDIAP2004

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Automatic meeting analysis is an emerging research field. In this paper, we present stochastic algorithms for tracking people in multi-sensor meeting rooms, for a number of relevant tasks, including tracking multiple people, tracking head pose towards anal ...

IDIAP2004