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Öktem2021_Article_CorporaCompilationForProsody-i.pdf (2.5 MB)

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Article

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Accepted version

Publication date

2021-12

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Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/182546

Corpora compilation for prosody-informed speech processing

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https://doi.org/10.1007/s10579-021-09556-2

Abstract

Research on speech technologies necessitates spoken data, which is usually obtained through read recorded speech, and specifically adapted to the research needs. When the aim is to deal with the prosody involved in speech, the available data must reflect natural and conversational speech, which is usually costly and difficult to get. This paper presents a machine learning-oriented toolkit for collecting, handling, and visualization of speech data, using prosodic heuristic. We present two corpora resulting from these methodologies: PANTED corpus, containing 250 h of English speech from TED Talks, and Heroes corpus containing 8 h of parallel English and Spanish movie speech. We demonstrate their use in two deep learning-based applications: punctuation restoration and machine translation. The presented corpora are freely available to the research community.

Subject

Reconeixement automàtic de la parla, Traducció automàtica, Puntuació, Corpus (Lingüística)

Subject (English)

Automatic speech recognition, Machine translating, Punctuation, Corpora (Linguistics)

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Articles publicats en revistes (Filologia Catalana i Lingüística General)

Citation

ÖKTEM, Alp, FARRÚS, Mireia and BONAFONTE, Antonio. Corpora compilation for prosody-informed speech processing. Language Resources And Evaluation. 2021. Vol. 55, num. 4, pags. 925-946. ISSN 1574-020X. [consulted: 11 of August of 2026]. Available at: https://hdl.handle.net/2445/182546

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