Enabling Zero-Shot Multilingual Spoken Language Translation with Language-Specific Encoders and Decoders-Reference-Cited by-同舟云学术

Enabling Zero-Shot Multilingual Spoken Language Translation with Language-Specific Encoders and Decoders

Published:2021-12-13 Issue: Volume: Page:
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Container-title:2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)
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Author:

Escolano Carlos¹,Costa-jussa Marta R.¹,Fonollosa Jose A. R.¹,Segura Carlos²

Affiliation:

1. TALP Research Center, Universitat Politècnica de Catalunya,Barcelona

2. Telefónica I+D,Barcelona

Funder

European Research Council (ERC)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9687821/9687855/09688026.pdf?arnumber=9688026

Reference23 articles.

1. Self-Attentional Acoustic Models

2. One-to-Many Multilingual End-to-End Speech Translation

3. Sequence-to-Sequence Speech Recognition with Time-Depth Separable Convolutions

4. On the cross-lingual transferability of monolingual representations;artetxe;ArXiv Preprint,2019

5. Large-scale multilingual speech recognition with a streaming end-to-end model;anjuli;INTERSPEECH 2019 20th Annual Conference of the International Speech Communication Association,2019

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1. Modular Speech-to-Text Translation for Zero-Shot Cross-Modal Transfer;INTERSPEECH 2023;2023-08-20

2. Prompting the Hidden Talent of Web-Scale Speech Models for Zero-Shot Task Generalization;INTERSPEECH 2023;2023-08-20

3. Cascaded Multi-task Adaptive Learning Based on Neural Architecture Search;INTERSPEECH 2023;2023-08-20

4. Evaluating Parameter-Efficient Transfer Learning Approaches on SURE Benchmark for Speech Understanding;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04