Hello đź‘‹,

Thanks for visiting my page.

People usually address me as Praveen. I am currently a Ph.D. student advised by Prof. Mitesh Khapra in the Department of Computer Science and Engineering, AI4Bharat, IIT Madras. I completed my B.Tech in Computer Science and Engineering in IIT Dharwad, in 2021.

Researchđź’ˇ

I'm currently working on building Neural Speech Synthesis systems with a focus on enabling them to sound more natural, more intelligible, and have rich prosody while supporting multiple voices and styles, for the major languages spoken across India.

In 2023, as a first step, we open-sourced SOTA TTS for 13 Indian languages (demo).

In 2024, we focused on (i) making our models more intelligible (IndicOOV, ELAICHI) , (ii) releasing the first-ever high-quality multilingual expressive dataset (Rasa) for any Indian language, and (iii) unlocking a massive speech corpus covering over 10,496 speakers (IndicVoices-R) that enables scaling Indian TTS!

In 2025, we scale our HQ studio recording efforts to 750 hours, covering 28 speakers across 16 Indian languages (Rasa🤗). We release the first instruction-following dataset (RASMALAI) for Text-Instruct TTS in Indian languages and a multilingual extension of Parler-TTS developed in collaboration with HuggingFace (Indic Parler-TTS). As we improve our data and models, we note that TTS evaluation remains tricky. In our MUSHRA studies, we find biases—like reference matching and judgment ambiguity—that can distort progress tracking, and we propose refined variants to mitigate them (Rethinking MUSHRA). While subjective assessments are good indicators of relative progress, they don’t test TTS systems in their real-world use - in isolation, where the goal is to sound human. We introduce the Human Fooling Rate (HFR) metric and a fine-grained variant for deployment-centric tracking with actionable insights.

News⚡

(16/11/2024) Super grateful to receive the Google PhD Fellowship in 2024. Thank you !
(15/11/2024) Recognized as an Outstanding Reviewer in EMNLP 2024 .

Publications

[7] Praveen S V, Sherry Thomas, Sai Teja M S, Suvrat Bhooshan, Mitesh M. Khapra "The State Of TTS: A Case Study with Human Fooling Rates." In Proceedings of INTERSPEECH 2025, Rotterdam, The Netherlands, August, 2025.
[6] Ashwin Sankar, Yoach Lacombe, Sherry Thomas, Praveen S V, Sanchit Gandhi, Mitesh M Khapra "RASMALAI: Resources for Adaptive Speech Modeling in Indian Languages with Accents and Intonations." In Proceedings of INTERSPEECH 2025, Rotterdam, The Netherlands, August, 2025.
[5] Praveen S V, Amogh Gulati, Ashwin Sankar, Srija Anand, Anirudh Gupta, Anirudh Mukherjee, Shiva Kumar Marepally, Ankur Bhatia, Saloni Jaju, Suvrat Bhooshan, Mitesh M. Khapra "Rethinking MUSHRA: Addressing Modern Challenges in Text-to-Speech Evaluation." Transactions on Machine Learning Research (TMLR) 2025.
[4] Ashwin Sankar*, Srija Anand*, Praveen S V*, Sherry Thomas, Mehak Singal, Shridhar Kumar, Deovrat Mehendale, Aditi Krishana, Giri Raju, Mitesh Khapra "IndicVoices-R: Unlocking a Massive Multilingual Multi-speaker Speech Corpus for Scaling Indian TTS." In Proceedings of NeuRIPS 2024 Datasets & Benchmark Track, Vancouver, Canada, December, 2024.
[3] Srija Anand, Praveen S V, Ashwin Sankar, Giri Raju, Mitesh M. Khapra "Enhancing Out-of-Vocabulary Performance of Indian TTS Systems for Practical Applications through Low-Effort Data Strategies." In Proceedings of INTERSPEECH 2024, Kos Island, Greece, September, 2024.
[2] Praveen S V*, Ashwin Sankar*, Giri Raju, Mitesh M. Khapra "Rasa: Building Expressive Speech Synthesis Systems for Indian Languages in Low-resource Settings." In Proceedings of INTERSPEECH 2024, Kos Island, Greece, September, 2024.
[1] Praveen S V*, Gokul Karthik Kumar*, Pratyush Kumar, Mitesh M. Khapra, Karthik Nandakumar. "Towards Building Text-To-Speech Systems for the Next Billion Users." In Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023), Rhodes Island, Greece, June, 2023.

My undergraduate journey has been detailed here.