Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters-Reference-Cited by-同舟云学术

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Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters

Published:2020-10-25 Issue: Volume: Page:
ISSN:
Container-title:Interspeech 2020
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Author:

Pratap Vineel,Sriram Anuroop,Tomasello Paden,Hannun Awni,Liptchinsky Vitaliy,Synnaeve Gabriel,Collobert Ronan

Publisher

ISCA

Cited by 59 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. "¿Te vienes? Sure!" Joint Fine-tuning of Language Detection and Transcription Improves Automatic Recognition of Code-Switching Speech;ACM Conversational User Interfaces 2024;2024-07-08

2. A Lightweight Task-Agreement Meta Learning for Low-Resource Speech Recognition;Neural Processing Letters;2024-07-05

3. Application of Audio Fingerprinting Techniques for Real-Time Scalable Speech Retrieval and Speech Clusterization;2024 47th MIPRO ICT and Electronics Convention (MIPRO);2024-05-20

4. Wav2vec-AD: Acoustic Unit Discovery Module-Integrated, Self-Supervised Contrastive Pre-training Approach for Speech Recognition;Journal of Shanghai Jiaotong University (Science);2024-05-10

5. Multilingual and Fully Non-Autoregressive ASR with Large Language Model Fusion: A Comprehensive Study;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

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