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SPIRE-SST: An automatic web-based self-learning tool for syllable stress tutoring (SST) to the second language learners

Yarra, C and Anand, PA and Kausthubha, NK and Ghosh, PK (2018) SPIRE-SST: An automatic web-based self-learning tool for syllable stress tutoring (SST) to the second language learners. In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 2-6 September 2018, Hyderabad, pp. 2390-2391.

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Official URL: https://dx.doi.org/10.21437/Interspeech.2018-3009


Correct stress placement on the syllables in a word or word groups is important in the spoken communication. Thus, incorrect syllable stress, typically made by second language (L2) learners, could result in miscommunication. In this demo, we present SPIRE-SST tool that tutors to learn correct stress patterns in a self-learning manner. Thus, the proposed tool could also benefit the learners without any access to the effective training methods. For this, we design a front-end containing self-explanatory instructions that can be easily followed by the user. Using the front-end, learners can submit their audio to the back end and can view the corresponding feedback from the back end. In the back-end, we divide the entire audio from the learner into syllable segments and detect each syllable as stressed or unstressed. Using these stress markings, we compute a score representing the stress quality in comparison with the ground-truth stress markings and send it to the front-end as a feedback. We also send a set of three features by comparing the audio from the expert and learner as the feedback, which we assume to be useful for correcting the pronunciation errors.

Item Type: Conference Proceedings
Series.: Interspeech 2018
Publisher: International Speech Communication Association
Additional Information: 19th Annual Conference of the International-Speech-Communication-Association (INTERSPEECH 2018), Hyderabad, INDIA, AUG 02-SEP 06, 2018
Keywords: E-learningSpeech, communication
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Date Deposited: 03 Sep 2020 07:26
Last Modified: 03 Sep 2020 07:26
URI: http://eprints.iisc.ac.in/id/eprint/62924

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