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

Author:

Lozano-Diez Alicia,Zazo-Candil Ruben,Gonzalez-Dominguez Javier,Toledano Doroteo T.,Gonzalez-Rodriguez Joaquin

Publisher

ISCA

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Is Attention always needed? A case study on language identification from speech;Natural Language Processing;2024-05-31

2. Generative Linguistic Representation for Spoken Language Identification;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16

3. Spoken Language Identification Using Convolutional Neural Network In Nepalese Context;2023 26th Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA);2023-12-04

4. Which Phonemes Will Distinguish the Different Regions Within the Same Dialect?;2021 24th Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA);2021-11-18

5. Mel-Frequency Cepstral Coefficient Features Based on Standard Deviation and Principal Component Analysis for Language Identification Systems;Cognitive Computation;2021-07-16

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