This podcast episode explores a new model for intonation in the Russian language and how it can be adapted to other languages. The model focuses on analyzing the rise and fall of pitch within words, making it useful for tasks like automatically marking up speech data or improving text-to-speech systems. Overall, it’s a useful tool for both studying intonation and developing better text-to-speech technologies.

Original paper:

Tomilov, A., Gromova, A., & Svischev, A. (2024). Word-wise intonation model for cross-language TTS systems. https://arxiv.org/abs/2409.20374