Khan, Umair (Date of defense: 2021-01-11)
In speaker recognition, i-vectors have been the state-of-the-art unsupervised technique over the last few years, whereas x-vectors is becoming the state-of-the-art supervised technique, these days. ...
Abad Gareta, Alberto (Date of defense: 2007-06-29)
Els avenços recents en tecnologia informàtica i processament de la parla i del llenguatge, entre altres, han fet possible que noves maneres de comunicació entre les persones i les màquines comencin a ...
Zelenák, Martin (Date of defense: 2012-01-31)
For the last several years, speaker diarization has been attracting substantial research attention as one of the spoken language technologies applied for the improvement, or enrichment, of recording ...
Farrús Cabeceran, Mireia (Date of defense: 2008-10-29)
El reconeixement automàtic del locutor és la utilització d’una màquina per identificar un individu a partir de d’un missatge parlat. Recentment, aquesta tecnologia ha experimentat un increment en l’ús ...
Ejarque Monserrate, Pascual (Date of defense: 2011-03-17)
Los sistemas de reconocimiento biométrico utilizan ciertas características humanas como la voz, los rasgos faciales, la huella dactilar, el iris o la geometría de la mano para identificar a un individuo ...
Ghahabi Esfahani, Omid (Date of defense: 2018-05-29)
Over the last few years, i-vectors have been the state-of-the-art technique in speaker and language recognition. Recent advances in Deep Learning (DL) technology have improved the quality of i-vectors ...
Zewoudie, Abraham Woubie (Date of defense: 2017-09-20)
Speaker diarization has received several research attentions over the last decade. Among the different domains of speaker diarization, diarization in meeting domain is the most challenging one. It usually ...
Safari, Pooyan (Date of defense: 2023-05-19)
(English) The thesis presents various contributions to the field of speaker recognition. In the first part of the thesis, the focus is on unsupervised methods for speaker recognition. This includes a ...