{"id":24262,"date":"2019-11-27T14:54:58","date_gmt":"2019-11-27T13:54:58","guid":{"rendered":"https:\/\/lium.univ-lemans.fr\/?p=24262"},"modified":"2019-11-29T11:01:19","modified_gmt":"2019-11-29T10:01:19","slug":"systeme-de-srl-neuronal-vs-systeme-de-srl-gaussien","status":"publish","type":"post","link":"https:\/\/lium.univ-lemans.fr\/en\/systeme-de-srl-neuronal-vs-systeme-de-srl-gaussien\/","title":{"rendered":"Syst\u00e8me de SRL neuronal vs Syst\u00e8me de SRL gaussien"},"content":{"rendered":"

Syst\u00e8me de SRL neuronal vs Syst\u00e8me de SRL gaussien<\/h2>\n

 <\/p>\n

Encadrant(s):<\/strong> Sylvain Meignier
\nEquipe d’accueil :<\/strong> LIUM – LST
\nLieu :<\/strong> Le Mans
\nContexte :<\/strong> Un \u00e9tudiant du parcours ATAL sera plus \u00e0 m\u00eame de r\u00e9aliser ce stage sans toutefois exclure les \u00e9tudiants du parcours AFD.
\nContact :<\/strong> Sylvain.Meignier(at)univ-lemans.fr, <\/p>\n

 <\/p>\n

 
\nSujet :<\/strong><\/p>\n

La t\u00e2che de Segmentation et le Regroupement en Locuteurs (SRL) consiste, pour chaque locuteur d\u2019un enregistrement, \u00e0 d\u00e9tecter de mani\u00e8re non-supervis\u00e9e les zones temporelles o\u00f9 il parle. Il s\u2019agit de la t\u00e2che la plus difficile dans le domaine de la Reconnaissance Automatique du Locuteur n\u00e9cessitant de travailler sans connaissance a priori pour d\u00e9couvrir les interventions des locuteurs.
\nLes syst\u00e8mes classiques utilisent des mod\u00e8les gaussiens pour repr\u00e9senter des locuteurs. Derni\u00e8rement, des m\u00e9thodes neuronales semblent apporter un gain. L\u2019objectif de ce stage est de comparer et d\u2019analyser ces m\u00e9thodes sur diff\u00e9rents corpus.<\/p>\n

 
\nBibliographie :<\/strong><\/p>\n

[1] Ruiqing Yin, Herv\u00e9 Bredin, Claude Barras. Neural speech turn segmentation and affinity propagation for speaker diarization. Annual Conference of the International Speech Communication Association, Sep 2018, Hyderabad, India. ;
\n[2] Qingjian Lin, Ruiqing Yin, Ming Li, Herv\u00e9 Bredin, Claude Barras. LSTM based Similarity Measurement with Spectral Clustering for Speaker Diarization. Annual Conference of the International Speech Communication Association, Sep 2019, Graz, Austria. ;
\n[3] Sun, Lei, et al. “Speaker diarization with enhancing speech for the First DIHARD Challenge.” (2018). Proceedings of INTERSPEECH 2018. 2793-2797.<\/p><\/div><\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"

Syst\u00e8me de SRL neuronal vs Syst\u00e8me de SRL gaussien   Encadrant(s): Sylvain Meignier Equipe d’accueil : LIUM – LST Lieu : Le Mans Contexte : Un \u00e9tudiant du parcours ATAL sera plus \u00e0 m\u00eame de r\u00e9aliser ce stage sans toutefois exclure les \u00e9tudiants du parcours AFD. Contact : Sylvain.Meignier(at)univ-lemans.fr,     Sujet : La t\u00e2che […]<\/p>\n

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