Concept

Digital audio workstation

Related publications (56)

Estimating Dominance in Multi-Party Meetings Using Speaker Diarization

With the increase in cheap commercially available sensors, recording meetings is becoming an increasingly practical option. With this trend comes the need to summarize the recorded data in semantically meaningful ways. Here, we investigate the task of auto ...

2010

MULTI-MODAL SPEAKER DIARIZATION OF REAL-WORLD MEETINGS USING COMPRESSED-DOMAIN VIDEO FEATURES

Speaker diarization is originally defined as the task of de- termining “who spoke when” given an audio track and no other prior knowledge of any kind. The following article shows a multi-modal approach where we improve a state- of-the-art speaker diarizati ...

2009

Learning bimodal structure in audio-visual data

Pierre Vandergheynst, Gianluca Monaci

A novel model is presented to learn bimodally informative structures from audio-visual signals. The signal is represented as a sparse sum of audio- visual kernels. Each kernel is a bimodal function consisting of synchronous snippets of an audio waveform an ...

2009

Investigating the use of Visual Focus of Attention for Audio-Visual Speaker Diarisation

Hervé Bourlard, Jean-Marc Odobez, Silèye Oumar Ba

Audio-visual speaker diarisation is the task of estimating ``who spoke when'' using audio and visual cues. In this paper we propose the combination of an audio diarisation system with psychology inspired visual features, reporting experiments on multiparty ...

2009

Blocking artifacts in speech/audio: Dynamic auditory model-based characterization and optimal time-frequency smoothing

Chandra Sekhar Seelamantula

We revisit the problem of blocking artifacts and their suppression in generic frame-based speech/audio applications. We provide a perceptual characterization of the artifacts by using dynamic auditory models. We propose some short-time-Fourier-transform-ba ...

2009

A low complexity orthogonal matching pursuit for sparse signal approximation with shift-invariant dictionaries

Pierre Vandergheynst, Rémi Gribonval

We propose a variant of Orthogonal Matching Pursuit (OMP), called LoCOMP, for scalable sparse signal approximation. The algorithm is designed for shift- invariant signal dictionaries with localized atoms, such as time-frequency dictionaries, and achieves a ...

2009

Associating Audio-Visual Activity Cues in a Dominance Estimation Framework

Daniel Gatica-Perez, Yan Huang

We address the problem of both estimating the dominant person in a meeting from a single audio source and identifying them visually in a multi-camera setting. We use a speaker diarization algorithm to perform speaker segmentation and clustering, representi ...

Idiap2008

Associating Audio-Visual Activity Cues in a Dominance Estimation Framework

Daniel Gatica-Perez, Yan Huang

2008

Integrating audio and vision for robust automatic gender recognition

We propose a multi-modal Automatic Gender Recognition (AGR) system based on audio-visual cues and present its thorough evaluation in realistic scenarios. First, we analyze robustness of different audio and visual features under varying conditions and creat ...

Idiap2008

Predicting the Dominant Clique in Meetings through Fusion of Nonverbal Cues

Daniel Gatica-Perez, Dinesh Babu Jayagopi

This paper addresses the problem of automatically predicting the dominant clique (i.e., the set of K-dominant people) in face-to-face small group meetings recorded by multiple audio and video sensors. For this goal, we present a framework that integrates a ...

2008

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