Hola,
¿eres nuevo aquí?

Regístrate gratis y conecta tu empresa con financiación pública, partners y proyectos.

Tengo cuenta

Regístrate

Ver video

SPEAKER DICE

Financiado

Cerrado

Robust SPEAKER DIariazation systems using Bayesian inferenCE and deep learning m...

Robust SPEAKER DIariazation systems using Bayesian inferenCE and deep learning methods The proposed project deals with Speaker Diarization (SD) which is commonly defined as the task of answering the question who spoke when? in a speech recording. The first objective of the proposal is to optimize the Bayesian approa... ver más

28/02/2019

BRNO UNIVERSITY OF...

143K€

Presupuesto del proyecto: 143K€

Líder del proyecto

VYSOKE UCENI TECHNICKE V BRNE No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2019-02-28

MSCA-IF-2016: Individual Fellowships

I+D

Cerrada hace 8 años

0% 100%

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

1 Participantes

BRNO UNIVERSITY OF TECHNOLOG...

142.72K€ | Lider

Proyectos interesantes

TEC2015-68172-C2-1-P

Software

Data Science

100K€ Cerrado

TEC2015-68172-C2-2-P

Software

Data Science

74K€ Cerrado

BES-2016-077843

Software

Data Science

93K€ Cerrado

ETE SPEAKER

Software

Data Science

121K€ Cerrado

TIN2017-85854-C4-1-R

Software

Data Science

100K€ Cerrado

TheoryDL

Software

Data Science

1M€ Cerrado

Conecta tu I+D

¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video

Duración del proyecto: 24 meses Fecha Inicio: 2017-02-24
Fecha Fin: 2019-02-28

Líder del proyecto

VYSOKE UCENI TECHNICKE V BRNE No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 143K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto The proposed project deals with Speaker Diarization (SD) which is commonly defined as the task of answering the question who spoke when? in a speech recording. The first objective of the proposal is to optimize the Bayesian approach to SD, which has shown to be promising for the tasks. For Variational Bayes (VB) inference, that is very sensitive to initialization, we will develop new fast ways of obtaining a good starting point. We will also explore alternative inference methods, such as collapsed VB or collapsed Gibbs Sampling, and investigate into alternative priors similar to those introduced for Bayesian speaker recognition models. The second part of the proposal is motivated by the huge performance gains that, in recent years, have been brought to other recognition tasks by Deep Neural Networks (DNNs). In the context of SD, DNNs have been used in the computation of i-vectors, but their potential was never explored for other stages of SD. We will study ways of integrating DNNs in the different stages of SD systems. The objectives of the proposal will be achieved by theoretical work, implementation, and careful testing on real speech data. The outcomes of the project are intended not only for scientific publications, but eagerly awaited by European speech data mining industry (for example Czech Phonexia or Spanish Agnitio). The project is proposed by an excellent female researcher, Dr. Mireia Diez, having finished her thesis in the GTTS group of University of the Basque Country, one of the most important European labs dealing with speaker recognition and diarization. The proposed host is the Speech@FIT group of Brno University of Technology, with a 20-year track of top speech data mining research. The proposed research training and combination of skills of Dr. Diez and the host institution have chances to advance the state-of-the-art in speaker diarization, provide the applicant with improved career opportunities and benefit European industry.

Conecta tu I+D

Entra hoy

¿Olvidé mi contraseña?

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores