Finding the Blank with Sequence Labeling for English Learning. - Shivam Mehta; Ivan Smetannikov (CCRIS, 2020)

Neural HMMS Are All You Need (For High-Quality Attention-Free TTS). - Shivam Mehta; Éva Székely; Jonas Beskow; Gustav Eje Henter (ICASSP, 2022)

Prosody-Controllable Spontaneous TTS with Neural HMMS. - Harm Lameris; Shivam Mehta; Gustav Eje Henter; Joakim Gustafson; Éva Székely (ICASSP, 2023)

Diffusion-Based Co-Speech Gesture Generation Using Joint Text and Audio Representation. - Anna Deichler; Shivam Mehta; Simon Alexanderson; Jonas Beskow (ICMI, 2023)

OverFlow: Putting flows on top of neural transducers for better TTS. - Shivam Mehta; Ambika Kirkland; Harm Lameris; Jonas Beskow; Éva Székely; Gustav Eje Henter (INTERSPEECH, 2023)

Stuck in the MOS pit: A critical analysis of MOS test methodology in TTS evaluation. - Ambika Kirkland; Shivam Mehta; Harm Lameris; Gustav Eje Henter; Éva Székely; Joakim Gustafson (SSW, 2023)

Diff-TTSG: Denoising probabilistic integrated speech and gesture synthesis. - Shivam Mehta; Siyang Wang; Simon Alexanderson; Jonas Beskow; Éva Székely; Gustav Eje Henter (SSW, 2023)

Stereotypical nationality representations in HRI: perspectives from international young adults. - Ronald Cumbal; Agnes Axelsson; Shivam Mehta; Olov Engwall (Frontiers Robotics AI, 2023)

Fake it to make it: Using synthetic data to remedy the data shortage in joint multi-modal speech-and-gesture synthesis. - Shivam Mehta; Anna Deichler; Jim O'Regan; Birger Moëll; Jonas Beskow; Gustav Eje Henter; Simon Alexanderson (CVPR Workshops, 2024)

Unified Speech and Gesture Synthesis Using Flow Matching. - Shivam Mehta; Ruibo Tu; Simon Alexanderson; Jonas Beskow; Éva Székely; Gustav Eje Henter (ICASSP, 2024)

Matcha-TTS: A Fast TTS Architecture with Conditional Flow Matching. - Shivam Mehta; Ruibo Tu; Jonas Beskow; Éva Székely; Gustav Eje Henter (ICASSP, 2024)

Should you use a probabilistic duration model in TTS? Probably! Especially for spontaneous speech. - Shivam Mehta; Harm Lameris; Rajiv Punmiya; Jonas Beskow; Éva Székely; Gustav Eje Henter (INTERSPEECH, 2024)

Beyond graphemes and phonemes: continuous phonological features in neural text-to-speech synthesis. - Christina Tånnander; Shivam Mehta; Jonas Beskow; Jens Edlund (INTERSPEECH, 2024)

Drone Pollution Tracking in Cities Using Recurrent Proximal Policy Optimization Learning. - Andreas Eliades; Elie Thellier; Haitao Tian; Shivam Mehta; Nouf Almesafri; Hongqian Chen; Zhuangkun Wei; Adolfo Perrusquía; Cunjia Liu; Weisi Guo (ISC2, 2024)

Fake it to make it: Using synthetic data to remedy the data shortage in joint multimodal speech-and-gesture synthesis. - Shivam Mehta; Anna Deichler; Jim O'Regan; Birger Moëll; Jonas Beskow; Gustav Eje Henter; Simon Alexanderson (CoRR, 2024)

Take a Look, it's in a Book, a Reading Robot. - Paige Tuttösí; Shivam Mehta; Zachary Syvenky; Bermet Burkanova; Mohammed Hfsafsti; Yue Wang; H. Henny Yeung; Gustav Eje Henter; Jean-Julien Aucouturier; Angelica Lim (HRI, 2025)

Make Some Noise: Towards LLM audio reasoning and generation using sound tokens. - Shivam Mehta; Nebojsa Jojic; Hannes Gamper (ICASSP, 2025)

EmojiVoice: Towards long-term controllable expressivity in robot speech. - Paige Tuttösí; Shivam Mehta; Zachary Syvenky; Bermet Burkanova; Gustav Eje Henter; Angelica Lim (CoRR, 2025)

SemAlignVC: Enhancing zero-shot timbre conversion using semantic alignment. - Shivam Mehta; Yingru Liu; Zhenyu Tang; Kainan Peng; Vimal Manohar; Shun Zhang; Mike Seltzer; Qing He; Mingbo Ma (CoRR, 2025)