Personne
Anindya Roy
Cette personne n’est plus à l’EPFL
Publications associées (17)
A Fast Parts-Based Approach to Speaker Verification Using Boosted Slice Classifiers
Sébastien Marcel, Mathew Magimai Doss, Anindya Roy
Speaker verification (SV) on portable devices like smartphones is gradually becoming popular. In this context, two issues need to be considered: 1) such devices have relatively limited computation resources, and 2) they are liable to be used everywhere, po ...
2012A Fast Parts-based Approach to Speaker Verification using Boosted Slice Classifiers
Speaker verification on portable devices like smartphones is gradually becoming popular. In this context, two issues need to be considered: 1) such devices have relatively limited computation resources, and 2) they are liable to be used everywhere, possibl ...
2012Boosting Localized Features for Speaker and Speech Recognition
In this thesis, we propose a novel approach for speaker and speech recognition involving localized, binary, data-driven features. The proposed approach is largely inspired by similar localized approaches in the computer vision domain. The success of these ...
EPFL2011Boosting Localized Features for Speaker and Speech Recognition
In this thesis, we propose a novel approach for speaker and speech recognition involving localized, binary, data-driven features. The proposed approach is largely inspired by similar localized approaches in the computer vision domain. The success of these ...
Ecole Polytechnique Federale de Lausanne (EPFL)2011Fast Speaker Verification on Mobile Phone data using Boosted Slice Classifiers
In this work, we investigate a novel computationally efficient speaker verification (SV) system involving boosted ensembles of simple threshold-based classifiers. The system is based on a novel set of features called “slice features”. Both the system and t ...
2011Phoneme Recognition using Boosted Binary Features
In this paper, we propose a novel parts-based binary-valued feature for ASR. This feature is extracted using boosted ensembles of simple threshold-based classifiers. Each such classifier looks at a specific pair of time-frequency bins located on the spectr ...
2011Continuous Speech Recognition using Boosted Binary Features
A novel parts-based binary-valued feature termed Boosted Binary Feature (BBF) was recently proposed for ASR. Such features look at specific pairs of time-frequency bins in the spectro-temporal plane. The most discriminative of these features are selected b ...
Idiap2011Crossmodal Matching of Speakers using Lip and Voice Features in Temporally Non-overlapping Audio and Video Streams
Person identification using audio (speech) and visual (facial appearance, static or dynamic) modalities, either independently or jointly, is a thoroughly investigated problem in pattern recognition. In this work, we explore a novel task : person identifica ...
2010Crossmodal Matching of Speakers using Lip and Voice Features in Temporally Non-overlapping Audio and Video Streams
Person identification using audio (speech) and visual (facial appearance, static or dynamic) modalities, either independently or jointly, is a thoroughly investigated problem in pattern recognition. In this work, we explore a novel task : person identifica ...
Idiap2010Visual processing-inspired Fern-Audio features for Noise-Robust Speaker Verification
In this paper, we consider the problem of speaker verification as a two-class object detection problem in computer vision, where the object instances are 1-D short-time spectral vectors obtained from the speech signal. More precisely, we investigate the ge ...
2010