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Application of Emotion Recognition and Modification for Emotional Telugu Speech Recognition.

, , and . Mob. Networks Appl., 24 (1): 193-201 (2019)

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Significance of Emotionally Significant Regions of Speech for Emotive to Neutral Conversion., , , and . MIKE, volume 9468 of Lecture Notes in Computer Science, page 287-296. Springer, (2015)Sound Privacy: A Conversational Speech Corpus for Quantifying the Experience of Privacy., , , , and . INTERSPEECH, page 3720-3724. ISCA, (2019)Importance of non-uniform prosody modification for speech recognition in emotion conditions., , , and . APSIPA, page 573-576. IEEE, (2017)Application of Emotion Recognition and Modification for Emotional Telugu Speech Recognition., , and . Mob. Networks Appl., 24 (1): 193-201 (2019)Outcomes of Speech to Speech Translation for Broadcast Speeches and Crowd Source Based Speech Data Collection Pilot Projects., , , and . BDA, volume 13147 of Lecture Notes in Computer Science, page 341-354. Springer, (2021)DNN-HMM Acoustic Modeling for Large Vocabulary Telugu Speech Recognition., , , , , and . MIKE, volume 10682 of Lecture Notes in Computer Science, page 189-197. Springer, (2017)IIITH-CSTD Corpus: Crowdsourced Strategies for the Collection of a Large-scale Telugu Speech Corpus., , , , , and . ACM Trans. Asian Low Resour. Lang. Inf. Process., 22 (7): 195:1-195:26 (2023)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)Prosody modification for speech recognition in emotionally mismatched conditions., , and . I. J. Speech Technology, 21 (3): 521-532 (2018)CSTD-Telugu Corpus: Crowd-Sourced Approach for Large-Scale Speech data collection., , , , , and . APSIPA ASC, page 511-517. IEEE, (2021)