Peer reviewed
Download full textERIC Number: ED590676
Record Type: Non-Journal
Publication Date: 2018-Dec-8
Pages: 7
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: N/A
Who's Got Talent? Comparing TTS Systems for Comprehensibility, Naturalness, and Intelligibility
Grimshaw, Jennica; Bione, Tiago; Cardoso, Walcir
Research-publishing.net, Paper presented at the EUROCALL 2018 Conference (26th, Jyväskylä, Finland, 2018)
The current study compared five free Text-To-Speech (TTS) systems, selected based on characteristics such as availability and capabilities. Tasks were completed by 37 English learners to evaluate these systems in terms of their comprehensibility, naturalness, and intelligibility. Our findings indicate that IBM Watson and Google Translate are the best TTS systems, according to the evaluation criteria employed. [For the complete volume of short papers, see ED590612.]
Descriptors: Assistive Technology, Educational Technology, Audio Equipment, Comprehension, Mutual Intelligibility, Translation, Web Sites, Pronunciation, Evaluation Criteria, Second Language Learning, English (Second Language), Foreign Countries, Advanced Students, Usability, Accuracy, Scores
Research-publishing.net. La Grange des Noyes, 25110 Voillans, France. e-mail: info@research-publishing.net; Web site: http://research-publishing.net
Publication Type: Speeches/Meeting Papers; Reports - Evaluative
Education Level: N/A
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Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Brazil
Grant or Contract Numbers: N/A
