End-to-end acoustic modelling for phone recognition of young readers

Author:

Gelin LucileORCID,Daniel MorganeORCID,Pinquier JulienORCID,Pellegrini ThomasORCID

Funder

Association Nationale de la Recherche et de la Technologie

Publisher

Elsevier BV

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Linguistics and Language,Language and Linguistics,Communication,Modelling and Simulation,Software

Reference59 articles.

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3. Acoustic modelling with CD-CTC-SMBR LSTM RNNS;Andrew,2015

4. Neural machine translation by jointly learning to align and translate;Bahdanau,2015

5. A comparison of hybrid and end-to-end models for syllable recognition;Bayerl,2019

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4. Recognition Method of Wa Language Isolated Words Based on Convolutional Neural Network;Machine Learning for Cyber Security;2023

5. Research on Phoneme Recognition using Attention-based Methods;Proceedings of the 2022 11th International Conference on Computing and Pattern Recognition;2022-11-17

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