Leveraging Large Text Corpora For End-To-End Speech Summarization-Reference-Cited by-同舟云学术

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Leveraging Large Text Corpora For End-To-End Speech Summarization

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Matsuura Kohei¹,Ashihara Takanori¹,Moriya Takafumi¹,Tanaka Tomohiro¹,Ogawa Atsunori¹,Delcroix Marc¹,Masumura Ryo¹

Affiliation:

1. NTT Corporation,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094559/10094560/10094993.pdf?arnumber=10094993

Reference35 articles.

1. Data Augmentation for ASR Using TTS Via a Discrete Representation

2. BERTScore: Evaluating text generation with BERT;zhang;Proc of ICLR,2021

3. Leveraging sequence-to-sequence speech synthesis for enhancing acoustic-to-word speech recognition;mimura;Proc of SLT,2021

4. Meteor universal: Language specific translation evaluation for any target language;denkowski;Proc of EACL WMT,2021

5. Synthesizing waveform sequence-to-sequence to augment training data for sequence-to-sequence speech recognition

Cited by 2 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. Espnet-Summ: Introducing a Novel Large Dataset, Toolkit, and a Cross-Corpora Evaluation of Speech Summarization Systems;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16

2. Improving Indonesian Informal to Formal Style Transfer via Pre-Training Unlabelled Augmented Data;2023 6th International Conference of Computer and Informatics Engineering (IC2IE);2023-09-14

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