Indic TIMIT and Indic English lexicon: A speech database of Indian speakers using TIMIT stimuli and a lexicon from their mispronunciations

Yarra, C and Aggarwal, R and Rajpal, A and Ghosh, PK (2019) Indic TIMIT and Indic English lexicon: A speech database of Indian speakers using TIMIT stimuli and a lexicon from their mispronunciations. In: 2019 22nd Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA), 25-27 Oct. 2019, Cebu, Philippines, Philippines.

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Abstract

With the advancements in the speech technology, demand for larger speech corpora is increasing particularly those from non-native English speakers. In order to cater to this demand under Indian context, we acquire a database named Indic TIMIT, a phonetically rich Indian English speech corpus. It contains 240 hours of speech recordings from 80 subjects, in which, each subject has spoken a set of 2342 stimuli available in the TIMIT corpus. Further, the corpus also contains phoneme transcriptions for a sub-set of recordings, which are manually annotated by two linguists reflecting speaker's pronunciation. Considering these, Indic TIMIT is unique with respect to the existing corpora that are available in Indian context. Along with Indic TIMIT, a lexicon named Indic English lexicon is provided, which is constructed by incorporating pronunciation variations specific to Indians obtained from their errors to the existing word pronunciations in a native English lexicon. In this paper, the effectiveness of Indic TIMIT and Indic English lexicon is shown respectively in comparison with the data from TIMIT and a lexicon augmented with all the word pronunciations from CMU, Beep and the lexicon available in the TIMIT corpus. Indic TIMIT and Indic English lexicon could be useful for a number of potential applications in Indian context including automatic speech recognition, mispronunciation detection diagnosis, native language identification, accent adaptation, accent conversion, voice conversion, speech synthesis, grapheme-to-phoneme conversion, automatic phoneme unit discovery and pronunciation error analysis.

Item Type:	Conference Paper
Publication:	2019 22nd Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques, O-COCOSDA 2019
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	cited By 0; Conference of 22nd Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques, O-COCOSDA 2019 ; Conference Date: 25 October 2019 Through 27 October 2019; Conference Code:158712
Keywords:	Audio recordings; Automatic identification; Database systems; Speech synthesis; Standardization, Automatic speech recognition; Grapheme-to-phoneme conversion; Mispronunciation detections; Phoneme transcription; Pronunciation variation; Speech recording; Speech technology; Word pronunciation, Speech recognition
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	07 Sep 2020 08:58
Last Modified:	07 Sep 2020 08:58
URI:	http://eprints.iisc.ac.in/id/eprint/65262

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