Phonotactic Language Recognition Using A Universal Phoneme Recognizer and A Transformer Architecture-Reference-Cited by-同舟云学术

Phonotactic Language Recognition Using A Universal Phoneme Recognizer and A Transformer Architecture

Published:2022-05-23 Issue: Volume: Page:
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Container-title:ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Romero David¹,D'Haro Luis Fernando²,Estecha-Garitagoitia Marcos³,Salamea Christian¹

Affiliation:

1. Universidad Politécnica Salesiana,Interaction, Robotics and Automation Research Group,Cuenca,Ecuador

2. Speech Technology and Machine Learning Group, Information and Telecommunication Center, Escuela é Superior de Ingenieros de Telecomunicación, Universidad Politécnica de Madrid, Ciudad Universitaria Avda. Complutense, 30, 28040, Madrid

3. Speech Technology Group, Information and Telecommunication Center, Universidad Politécnica de Madrid, Ciudad Universitaria Avda. Complutense, 30, 28040, Madrid

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746459.pdf?arnumber=9746459

Reference29 articles.

1. Significance of neural phonotactic models for large-scale spoken language identification;mojan;International Joint Conference on Neural Networks,2017

2. The GTH-LID System for the Albayzin LRE12 Evaluation;d’haro;Iberspeech,2012

3. Language recognition in i-vectors space;martinez;Twelfth Annual Conference of the International Speech Communication Association,2011

4. A phonotactic language model for spoken language identification

5. Phonotactic language recognition using dynamic pronunciation and language branch discriminative information

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