Guillermo Cámbara is a Senior ML Researcher based in Barcelona with eight years of experience building state-of-the-art generative speech and audio systems for enterprise and consumer products. He co-authored BASE-TTS and Mapache—early large-scale LLM approaches to speech generation—and has advanced expertise in diffusion models, neural audio codecs and self-supervised speech representations from his PhD work at Universitat Pompeu Fabra. Guillermo combines academic and industry practice as an associate professor teaching NLP and as a researcher who shipped generative audio at Amazon and now develops ultra-realistic voices at Rime. Beyond research, he produces commercial music (including a #1 iTunes Spain single) and investigates digitalization for sustainable recovery in Latin America as a UN research fellow, a blend that informs both his creative and technical perspectives. Colleagues value him for bridging rigorous research, production-quality engineering, and real-world product impact.
8 years of coding experience
11 years of employment as a software developer
Music Production and Sound Diploma, Music Production and Sound Diploma at The Bass Valley
Doctor of Philosophy - PhD, Information Technology, Doctor of Philosophy - PhD, Information Technology at Universitat Pompeu Fabra
Jesuïtes Bellvitge - Centre d'Estudis Joan XXIII
Bachelor's degree, Physics, Bachelor's degree, Physics at Universitat de Barcelona
speacher is a speech teacher framework that enables research in curriculum learning for speech recognition and quality assessment for speech synthesis models.
Contributions:2 reviews, 11 commits, 14 pushes in 11 months
Contributions:36 commits, 39 pushes, 1 branch in 1 year
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