E-TTS: Expressive Text-to-Speech Synthesis for Hindi Using Data Augmentation

Author:

Gupta Ishika,Murthy Hema A.

Publisher

Springer Nature Switzerland

Reference36 articles.

1. HMM-based toolkit. https://htk.eng.cam.ac.uk/

2. Kaggle Online Community.https://www.kaggle.com/datasets/rushikeshdarge/hindi-text-corpus?select=hi

3. Baby, A., Prakash, J.J., Murthy, H.A.: A hybrid approach to neural networks based speech segmentation. Dimension 40, 3 (2017)

4. Baby, A., Prakash, J.J., Subramanian, A.S., Murthy, H.A.: Significance of spectral cues in automatic speech segmentation for Indian language speech synthesizers. Speech Commun. 123, 10–25 (2020)

5. Baby, A., Thomas, A.L., Nishanthi, N.L., Consortium, T.: Resources for Indian languages. In: CBBLR - Community-Based Building of Language Resources, pp. 37–43. Tribun EU, Brno, Czech Republic (2016). https://www.iitm.ac.in/donlab/tts/database.php

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