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TBT (Toolkit to Build TTS): A High Performance Framework to Build Multiple Language HTS Voice.

, , , , , , and . INTERSPEECH, page 3427-3428. ISCA, (2017)

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Robust Speech Recognition Using Meta-Learning for Low-Resource Accents., , and . NCC, page 1-6. IEEE, (2024)A Unified Parser for Developing Indian Language Text to Speech Synthesizers., , , and . TSD, volume 9924 of Lecture Notes in Computer Science, page 514-521. Springer, (2016)Significance of spectral cues in automatic speech segmentation for Indian language speech synthesizers., , , and . Speech Commun., (2020)Signal Processing Cues to Improve Automatic Speech Recognition for Low Resource Indian Languages., , and . SLTU, page 25-29. ISCA, (2018)An ASR Guided Speech Intelligibility Measure for TTS Model Selection., , , , , , and . CoRR, (2020)Non-native English lexicon creation for bilingual speech synthesis., , , , , and . CoRR, (2021)Code-switching in Indic Speech Synthesisers., , , and . INTERSPEECH, page 1948-1952. ISCA, (2018)TBT (Toolkit to Build TTS): A High Performance Framework to Build Multiple Language HTS Voice., , , , , , and . INTERSPEECH, page 3427-3428. ISCA, (2017)Context-based out-of-vocabulary word recovery for ASR systems in Indian languages., , , , , and . CoRR, (2022)Deep Learning Techniques in Tandem with Signal Processing Cues for Phonetic Segmentation for Text to Speech Synthesis in Indian Languages., , , and . INTERSPEECH, page 3817-3821. ISCA, (2017)