On the Use of Semantically-Aligned Speech Representations for Spoken Language Understanding-Reference-Cited by-同舟云学术

On the Use of Semantically-Aligned Speech Representations for Spoken Language Understanding

Published:2023-01-09 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Spoken Language Technology Workshop (SLT)
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Author:

Laperriere Gaelle¹,Pelloin Valentin²,Rouvier Mickael¹,Stafylakis Themos³,Esteve Yannick¹

Affiliation:

1. LIA - Avignon Université,France

2. LIUM - Le Mans Université,France

3. Omilia - Conversational Intelligence,Greece

Funder

JHU

French National Research Agency

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10022052/10022330/10023013.pdf?arnumber=10023013

Reference38 articles.

1. Corpus generation for voice command in smart home and the effect of speech synthesis on End-to-End SLU;desot;LREC 2020 12th Language Resources and Evaluation Conference,0

2. Measuring the Impact of Individual Domain Factors in Self-Supervised Pre-Training;sanabria;ArXiv Preprint,2022

3. Leveraging Unpaired Text Data for Training End-To-End Speech-to-Intent Systems

4. Emotion Recognition from Speech Using wav2vec 2.0 Embeddings

5. wav2vec 2.0: A framework for self-supervised learning of speech representations;baevski;ArXiv Preprint,2020

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1. Leveraging Multilingual Self-Supervised Pretrained Models for Sequence-to-Sequence End-to-End Spoken Language Understanding;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16

2. Semantic Enrichment Towards Efficient Speech Representations;INTERSPEECH 2023;2023-08-20

3. On the (In)Efficiency of Acoustic Feature Extractors for Self-Supervised Speech Representation Learning;INTERSPEECH 2023;2023-08-20