Browsing by Author "Anand, P.A."

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Intonation tutor by SPIRE (In-SPIRE): An online tool for an automatic feedback to the second language learners in learning intonation
(2018) Anand, P.A.; Yarra, C.; Kausthubha, N.K.; Ghosh, P.K.
In spoken communication, intonation often conveys meaning of an utterance. Thus, incorrect intonation, typically made by second language (L2) learners, could result in miscommunication. We demonstrate In-SPIRE tool that helps the L2 learners to learn intonation in a self-learning manner. For this, we design an interactive self-explanatory front end, which is also used to send learner's audio and hand-shake signals to the back-end. At the back-end, we implement a system that takes the learner's audio against a specific stimuli and computes pitch patterns representing the intonation. For this, we apply pitch stylization on each syllable segment in the audio. Further, we compute a quality score using the learner's patterns and the respective ground-truth patterns. Finally, the score, the patterns of the learners and the ground-truth are sent to the front-end for display as a feedback to the learners. Thus, the learner could correct any mismatch in his/her intonation with respect to the ground-truth. The proposed tool benefits the learners who do not have access to effective spoken language training. � 2018 International Speech Communication Association. All rights reserved.
Intonation tutor by SPIRE (In-SPIRE): An online tool for an automatic feedback to the second language learners in learning intonation
(International Speech Communication Association publication@isca-speech.org 4 Rue des Fauvettes - Lous Tourils Baixas 66390, 2018) Anand, P.A.; Yarra, C.; Kausthubha, N.K.; Ghosh, P.K.
In spoken communication, intonation often conveys meaning of an utterance. Thus, incorrect intonation, typically made by second language (L2) learners, could result in miscommunication. We demonstrate In-SPIRE tool that helps the L2 learners to learn intonation in a self-learning manner. For this, we design an interactive self-explanatory front end, which is also used to send learner's audio and hand-shake signals to the back-end. At the back-end, we implement a system that takes the learner's audio against a specific stimuli and computes pitch patterns representing the intonation. For this, we apply pitch stylization on each syllable segment in the audio. Further, we compute a quality score using the learner's patterns and the respective ground-truth patterns. Finally, the score, the patterns of the learners and the ground-truth are sent to the front-end for display as a feedback to the learners. Thus, the learner could correct any mismatch in his/her intonation with respect to the ground-truth. The proposed tool benefits the learners who do not have access to effective spoken language training. Â© 2018 International Speech Communication Association. All rights reserved.
SPIRE-SST: An automatic web-based self-learning tool for syllable stress tutoring (SST) to the second language learners
(2018) Yarra, C.; Anand, P.A.; Kausthubha, N.K.; Ghosh, P.K.
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. � 2018 International Speech Communication Association. All rights reserved.
SPIRE-SST: An automatic web-based self-learning tool for syllable stress tutoring (SST) to the second language learners
(International Speech Communication Association publication@isca-speech.org 4 Rue des Fauvettes - Lous Tourils Baixas 66390, 2018) Yarra, C.; Anand, P.A.; Kausthubha, N.K.; Ghosh, P.K.
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. Â© 2018 International Speech Communication Association. All rights reserved.