Automatic Speech Recognition

Levis, John M.; Suvorov, Ruslan

doi:10.1002/9781405198431.wbeal0066

Cited by 28 publications

(19 citation statements)

References 23 publications

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“…ASR is a “machine‐based process of decoding and transcribing oral speech, [with] (…) acoustic input [being] analyze[d] using some (…) algorithm, and produc[ing] an output, usually in the form of a text” (Levis & Suvorov, , p. 1). Research on ASR for L2 learning was initiated in the 1990s by U.S. military research programs to find ways for cadets to practice speaking on their own (LaRocca, Morgan, & Bellinger, ).…”

Section: Literature Reviewmentioning

confidence: 99%

Seeing how people hear you: French learners experiencing intelligibility through automatic speech recognition

Mroz

2018

Foreign Language Annals

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Many language practitioners feel ill equipped to address learners’ pronunciation or have difficulties doing so because of limited class time, opportunities for individualized feedback, and approaches to evaluating intelligibility. However, it is crucial that students become understandable to native speakers who are unaccustomed to dealing with second language learners. Automatic Speech Recognition (ASR) offers one potentially practical way to answer these needs. Contributing to research on mobile‐assisted learning, this study investigated how two groups of college‐level second language French learners developed greater awareness of their own intelligibility using ASR in Gmail. Using an ecological approach (van Lier, ) and an experiential learning model (Kolb, ), while following up on Liakin, Cardoso, and Liakina (2017), as well as McCrocklin (), this study found that ASR could credibly simulate understanding by a native speaker, allowing learners to close the intelligibility gap and develop a sense of what successful interpersonal communication entails. Pedagogical implications are offered.

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Section: Literature Reviewmentioning

confidence: 99%

Seeing how people hear you: French learners experiencing intelligibility through automatic speech recognition

Mroz

2018

Foreign Language Annals

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“…The pedagogical benefits of automatic speech recognition (ASR), also referred to as speech-to-text, voice-recognition, or dictation, have been highlighted in second language (L2) teaching and learning research (Cucchiarini & Strik, 2018;Levis & Suvorov, 2012). The use of ASR appears to contribute to reading development in children (Mostow, Huang, & Junker, 2008) and ASR might be used to address common errors in L2 Dutch morphology and syntax (Cucchiarini, Van Doremalen, & Strik, 2008).…”

Section: Introductionmentioning

confidence: 99%

ASR for EFL Pronunciation Practice: Segmental Development and Learners’ Beliefs

Inceoglu¹,

Lim²,

Chen³

2020

The Journal of AsiaTEFL

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The current study explored the usefulness of mobile-based automatic speech recognition (ASR) pronunciation practice by investigating a) its effects on the production of four English vowels, and b) learners' perception of ASR as a learning tool. A total of 19 Korean university students produced 28 minimal pair sentences containing the English vowel contrasts /i/-/ɪ/ and /ɛ/-/ae/ (e.g., I said beat, I said bit) at pretest and posttest, and completed six sessions of ASR practice outside of class that involved voice-typing a short text, minimal pairs in sentences, and decontextualized minimal pairs. Results of acoustic analysis of F1 and F2 formant frequencies showed a meaningful improvement in frontness for the vowel /i/, but no changes for the other vowels. Overall, the majority of the participants perceived ASR as useful for pronunciation practice, but some showed skepticism and frustration regarding the current state of the technology. Further discussed are the problems and limitations that EFL learners experienced during the ASR training.

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“…Automatic speech recognition (ASR) is the process by which machines automatically decipher and transcribe oral speech. An ASR system receives an acoustic signal via a microphone, which is then analysed and processed in order to generate an output, typically in written form [ 1 ]. The roots of the first speech recognition systems date back to the early 1950s [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Automatic speech recognition in the operating room – An essential contemporary tool or a redundant gadget? A survey evaluation among physicians in form of a qualitative study

Schulte

Suarez-Ibarrola

Wegen

et al. 2020

Annals of Medicine and Surgery

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Introduction For decades, automatic speech recognition (ASR) has been the subject of research and its range of applications broadened. Presently, ASR among physicians is mainly used to convert speech into text but not to implement instructions in the operating room (OR). This study aimed to evaluate physicians of different surgical professions on their personal experience and posture towards ASR. Methods A 16-item survey was distributed electronically to hospitals and outpatient clinics in southern Germany addressing physicians on the potential applications of ASR in the OR. Results The survey was responded by 185 of 2693 physicians (response rate: 6.9%) with a mean age of 41.8 ± 9.8 years. ASR is desirable in the OR regardless of the field of speciality (93.7%). While only 2.7% have used ASR, 87.9% evaluate its future potential as high. 91.0% of those working in a university hospital would consider testing ASR, while 67.5% of those in non-university hospitals and practices (p = 0.001). 90.1% of responders of strictly surgical specialities see potential in ASR while 73.7% in non-surgical specialities evaluate its future potential as high (p = 0.01). 58.3% of those over the age of 60 consider the use of ASR without a headset to be imaginable, while 96.3% among those under the age of 60. There were no statistically significant differences regarding sex and professional position. Conclusion Foreseeably, ASR is anticipated to be integrated into ORs and valued at a high market potential. Our study provides information about physicians’ individual preferences from various surgical disciplines regarding ASR.

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Automatic Speech Recognition

Cited by 28 publications

References 23 publications

Seeing how people hear you: French learners experiencing intelligibility through automatic speech recognition

Seeing how people hear you: French learners experiencing intelligibility through automatic speech recognition

ASR for EFL Pronunciation Practice: Segmental Development and Learners’ Beliefs

Automatic speech recognition in the operating room – An essential contemporary tool or a redundant gadget? A survey evaluation among physicians in form of a qualitative study

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