Srikanth Ronanki is a PhD candidate at the Centre for Speech Technology Research, University of Edinburgh, with 11 years of professional experience building backend systems and data pipelines for speech synthesis. He contributes to the Merlin speech synthesis project, where his work on acoustic feature extraction, WORLD vocoder integration, and data preparation highlights a strong focus on turning research prototypes into reproducible, production-ready pipelines. Comfortable at the intersection of research and engineering, he blends data science rigor with practical scripting and configuration skills to support voice conversion and synthesis experiments. Based in Edinburgh, he pairs academic depth with hands-on open-source impact, helping bridge complex signal-processing algorithms and scalable tooling. An understated strength is his attention to the often-overlooked end-to-end data workflow that makes advanced speech models reliably trainable and deployable.
This is now the official location of the Merlin project.
Role in this project:
Back-end Developer & Data Scientist
Contributions:1 release, 229 commits, 69 PRs in 2 years 2 months
Contributions summary:Srikanth added scripts and configurations related to speech synthesis and voice conversion, including scripts for extracting acoustic features and performing voice conversion using the WORLD vocoder. The commits suggest work on data preparation and feature extraction, indicating involvement in the data pipeline for speech synthesis models. The user's contributions touch upon various stages of a speech synthesis project, suggesting a focus on back-end aspects and potential data science work.
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