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Optimal residual frame based source modeling for HMM-based speech synthesis.

, and . ICAPR, page 1-5. IEEE, (2015)

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Emotion recognition from speech using source, system, and prosodic features., and . I. J. Speech Technology, 15 (2): 265-289 (2012)Optimal residual frame based source modeling for HMM-based speech synthesis., and . ICAPR, page 1-5. IEEE, (2015)Parameterization of Excitation Signal for Improving the Quality of HMM-Based Speech Synthesis System., and . CSSP, 36 (9): 3650-3673 (2017)Effect of Speech Coding on Recognition of Consonant-Vowel (CV) Units., , and . IC3 (1), volume 94 of Communications in Computer and Information Science, page 284-294. Springer, (2010)Modifying LSTM Posteriors with Manner of Articulation Knowledge to Improve Speech Recognition Performance., and . ICMLA, page 769-772. IEEE, (2018)Correction to: CycleGAN-Based Speech Mode Transformation Model for Robust Multilingual ASR., and . Circuits Syst. Signal Process., 41 (9): 5306 (2022)Classification of Infant Cries Using Dynamics of Epoch Features., , , and . J. Intell. Syst., 22 (3): 351-364 (2013)IITKGP-SESC: Speech Database for Emotion Analysis., , , , and . IC3, volume 40 of Communications in Computer and Information Science, page 485-492. Springer, (2009)Exploring Speech Features for Classifying Emotions along Valence Dimension., and . PReMI, volume 5909 of Lecture Notes in Computer Science, page 537-542. Springer, (2009)Automatic Phonetic Transcription for read, extempore and conversation speech for an Indian language: Bengali., and . NCC, page 1-6. IEEE, (2014)