Assessment of L2 intelligibility: Comparing L1 listeners and automatic speech recognition. Issue 1 (18th January 2023)
- Record Type:
- Journal Article
- Title:
- Assessment of L2 intelligibility: Comparing L1 listeners and automatic speech recognition. Issue 1 (18th January 2023)
- Main Title:
- Assessment of L2 intelligibility: Comparing L1 listeners and automatic speech recognition
- Authors:
- Inceoglu, Solène
Chen, Wen-Hsin
Lim, Hyojung - Abstract:
- Abstract: An increasing number of studies are exploring the benefits of automatic speech recognition (ASR)–based dictation programs for second language (L2) pronunciation learning (e.g. Chen, Inceoglu & Lim, 2020 ; Liakin, Cardoso & Liakina, 2015 ; McCrocklin, 2019 ), but how ASR recognizes accented speech and the nature of the feedback it provides to language learners is still largely under-researched. The current study explores whether the intelligibility of L2 speakers differs when assessed by native (L1) listeners versus ASR technology, and reports on the types of intelligibility issues encountered by the two groups. Twelve L1 listeners of English transcribed 48 isolated words targeting the /ɪ-i/ and /æ-ε/ contrasts and 24 short sentences that four Taiwanese intermediate learners of English had produced using Google's ASR dictation system. Overall, the results revealed lower intelligibility scores for the word task (ASR: 40.81%, L1 listeners: 38.62%) than the sentence task (ASR: 75.52%, L1 listeners: 83.88%), and highlighted strong similarities in the error types – and their proportions – identified by ASR and the L1 listeners. However, despite similar recognition scores, correlations indicated that the ASR recognition of the L2 speakers' oral productions mirrored the L1 listeners' judgments of intelligibility in the word and sentence tasks for only one speaker, with significant positive correlations for one additional speaker in each task. This suggests that the extentAbstract: An increasing number of studies are exploring the benefits of automatic speech recognition (ASR)–based dictation programs for second language (L2) pronunciation learning (e.g. Chen, Inceoglu & Lim, 2020 ; Liakin, Cardoso & Liakina, 2015 ; McCrocklin, 2019 ), but how ASR recognizes accented speech and the nature of the feedback it provides to language learners is still largely under-researched. The current study explores whether the intelligibility of L2 speakers differs when assessed by native (L1) listeners versus ASR technology, and reports on the types of intelligibility issues encountered by the two groups. Twelve L1 listeners of English transcribed 48 isolated words targeting the /ɪ-i/ and /æ-ε/ contrasts and 24 short sentences that four Taiwanese intermediate learners of English had produced using Google's ASR dictation system. Overall, the results revealed lower intelligibility scores for the word task (ASR: 40.81%, L1 listeners: 38.62%) than the sentence task (ASR: 75.52%, L1 listeners: 83.88%), and highlighted strong similarities in the error types – and their proportions – identified by ASR and the L1 listeners. However, despite similar recognition scores, correlations indicated that the ASR recognition of the L2 speakers' oral productions mirrored the L1 listeners' judgments of intelligibility in the word and sentence tasks for only one speaker, with significant positive correlations for one additional speaker in each task. This suggests that the extent to which ASR approaches L1 listeners at recognizing accented speech may depend on individual speakers and the type of oral speech. … (more)
- Is Part Of:
- ReCALL. Volume 35:Issue 1(2023)
- Journal:
- ReCALL
- Issue:
- Volume 35:Issue 1(2023)
- Issue Display:
- Volume 35, Issue 1 (2023)
- Year:
- 2023
- Volume:
- 35
- Issue:
- 1
- Issue Sort Value:
- 2023-0035-0001-0000
- Page Start:
- 89
- Page End:
- 104
- Publication Date:
- 2023-01-18
- Subjects:
- automatic speech recognition -- intelligibility -- CALL -- pronunciation learning -- non-native speech
Education -- Great Britain -- Periodicals
Languages, modern -- Periodicals
Language and languages -- Computer-assisted instruction -- Periodicals
Language and languages -- Study and teaching -- Europe -- Periodicals
418.00785 - Journal URLs:
- http://journals.cambridge.org/action/displayJournal?jid=REC ↗
- DOI:
- 10.1017/S0958344022000192 ↗
- Languages:
- English
- ISSNs:
- 0958-3440
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 24616.xml