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A Study on Vowel Region Detection from a Continuous Speech.

, , , and . MIKE, volume 10089 of Lecture Notes in Computer Science, page 74-82. (2016)

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A Study on Vowel Region Detection from a Continuous Speech., , , and . MIKE, volume 10089 of Lecture Notes in Computer Science, page 74-82. (2016)Multi-Head Self-Attention Networks for Language Identification., , , and . IC3, page 1-5. IEEE, (2019)Spotting and Recognition of Consonant-Vowel Units from Continuous Speech Using Accurate Detection of Vowel Onset Points., , and . CSSP, 31 (4): 1459-1474 (2012)Comparative Study of Different Epoch Extraction Methods for Speech Associated with Voice Disorders., , and . ICASSP, page 6923-6927. IEEE, (2021)IIITH-ILSC Speech Database for Indain Language Identification., , , , and . SLTU, page 56-60. ISCA, (2018)CSTD-Telugu Corpus: Crowd-Sourced Approach for Large-Scale Speech data collection., , , , , and . APSIPA ASC, page 511-517. IEEE, (2021)Detection of Replay Attacks Using Single Frequency Filtering Cepstral Coefficients., , , , and . INTERSPEECH, page 2596-2600. ISCA, (2017)An Exploration towards Joint Acoustic Modeling for Indian Languages: IIIT-H Submission for Low Resource Speech Recognition Challenge for Indian Languages, INTERSPEECH 2018., , , and . INTERSPEECH, page 3192-3196. ISCA, (2018)Towards Automatic Assessment of Voice Disorders: A Clinical Approach., , and . INTERSPEECH, page 2537-2541. ISCA, (2020)IIIT-H Spoofing Countermeasures for Automatic Speaker Verification Spoofing and Countermeasures Challenge 2019., and . INTERSPEECH, page 1043-1047. ISCA, (2019)