Results 261 to 270 of about 1,314,675 (307)
That doesn’t sound right: Evaluating speech transcription quality in field linguistics corpora
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)Éric Le Ferrand +3 more
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10. Job Interview Corpus: Data Transcription and Major Topics in Corpus Linguistics
, 2015 Daniela Wawra
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Canadian Journal of Linguistics-revue Canadienne De Linguistique, 1987 Marc Picard
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Can Chat GPT solve a Linguistics Exam?
arXiv.org, 2023The present study asks if ChatGPT4, the version of ChatGPT which uses the language model GPT4, can successfully solve introductory linguistic exams. Previous exam questions of an Introduction to Linguistics course at a German university are used to test ...
Patricia Ronan, Gerold Schneider
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Computer-assisted Transcription and Analysis of Bulgarian Child Speech Data using CHILDES and CLAN
Journal of Computational and Applied Linguistics, 2023The present paper focuses on the possibilities offered by corpus linguistics in the study of child speech, with its specificities as a linguistic phenomenon.
V. Popova, D. Popov
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Using peer-assessment to mitigate variability in graduate students’ phonetic transcription skills
Clinical Linguistics & Phonetics, 2021Phonetic transcription is a cornerstone skill in the practice of speech-language pathology. Several factors may impact transcription proficiency including when it was learned, how it was learned, and whether practice continued.
B. I. Krueger
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MeTILDA: Platform for Melodic Transcription in Language Documentation and Application
International Conference on Multimedia Retrieval, 2021Blackfoot language is an endangered language that needs to be documented, analyzed, and preserved. Blackfoot is challenging to learn and teach because it is a pitch accent language whose words with same characters can take on different meanings when ...
Mitchell Lee, Praveena Avula, Min Chen
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Annual Meeting of the Association for Computational Linguistics
The evolution of speech technology has been spurred by the rapid increase in dataset sizes. Traditional speech models generally depend on a large amount of labeled training data, which is scarce for low-resource languages.
Yifan Yang +15 more
semanticscholar +1 more source
The evolution of speech technology has been spurred by the rapid increase in dataset sizes. Traditional speech models generally depend on a large amount of labeled training data, which is scarce for low-resource languages.
Yifan Yang +15 more
semanticscholar +1 more source
Robust Singing Voice Transcription Serves Synthesis
Annual Meeting of the Association for Computational LinguisticsNote-level Automatic Singing Voice Transcription (AST) converts singing recordings into note sequences, facilitating the automatic annotation of singing datasets for Singing Voice Synthesis (SVS) applications.
Ruiqi Li +5 more
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Clinical Linguistics & Phonetics, 2020
Dysphonia negatively affects a speaker’s intelligibility, especially in noisy environments. Previously, our study showed this effect of dysphonia with the transcription-based intelligibility measurement.
Keiko Ishikawa +2 more
semanticscholar +1 more source
Dysphonia negatively affects a speaker’s intelligibility, especially in noisy environments. Previously, our study showed this effect of dysphonia with the transcription-based intelligibility measurement.
Keiko Ishikawa +2 more
semanticscholar +1 more source