An end-to-end approach to language identification in short utterances using convolutional neural networks

Alicia Lozano-Diez,Rubén Zazo-Candil,Javier González Domínguez,Doroteo Torre Toledano,Joaquin Gonzalez-Rodriguez

An end-to-end approach to language identification in short utterances using convolutional neural networks

2015

Alicia Lozano-Diez
Rubén Zazo-Candil
Javier González Domínguez
Doroteo Torre Toledano
Joaquin Gonzalez-Rodriguez

This work has been supported by project CMC-V2: Caracterizacion, Modelado y Compensacion de Variabilidad en la Senal de Voz (TEC2012-37585-C02-01), funded by Ministerio de Economia y Competitividad, Spain.

Keywords:

Speech recognition
Convolutional neural network
Language identification
Computer science
End-to-end principle

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