Towards better subtitles: A multilingual approach for punctuation restoration of speech transcripts

Author:

Guerreiro Nuno MiguelORCID,Rei RicardoORCID,Batista FernandoORCID

Funder

Fundação para a Ciência e a Tecnologia

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference57 articles.

1. A low latency sequential model and its user-focused evaluation for automatic punctuation of ASR closed captions;Ákos Tündik;Computer Speech and Language,2020

2. Batista, F., Caseiro, D., Mamede, N. J., & Trancoso, I. (2007). Recovering punctuation marks for automatic speech recognition. In Interspeech 2007, Antwerp, Belgium (pp. 2153–2156).

3. Recovering capitalization and punctuation marks for automatic speech recognition: Case study for Portuguese broadcast news;Batista;Speech Communication,2008

4. Bilingual experiments on automatic recovery of capitalization and punctuation of automatic speech transcripts;Batista;IEEE Transactions on Audio, Speech and Language Processing, Special Issue on New Frontiers in Rich Transcription,2012

5. Batista, F., Moniz, H., Trancoso, I., Meinedo, H., Mata, A. I., & Mamede, N. J. (2010). Extending the punctuation module for european portuguese. In Interspeech 2010, Mukari, Japan (pp. 1509–1512).

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1. Enhancing Spoken Text With Punctuation Prediction Using N-Gram Language Model in Intelligent Technical Text Processing Software;Advances in Systems Analysis, Software Engineering, and High Performance Computing;2024-06-21

2. Generative Byte-Level Models for Restoring Spaces, Punctuation, and Capitalization in Multiple Languages;Signals and Communication Technology;2023-10-04

3. FullStop: punctuation and segmentation prediction for Dutch with transformers;Language Resources and Evaluation;2023-07-14

4. Punctuation Restoration for Singaporean Spoken Languages: English, Malay, and Mandarin;2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2022-11-07

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