Takuya Yoshioka is a senior research leader specializing in speech and audio technology with over 15 years of R&D experience and a PhD in speech/audio signal processing from Kyoto University. He has led teams at Microsoft and AssemblyAI to deliver production-grade ASR, diarization, and enhancement systems—contributing to widely used technologies like WavLM, LibriCSS, and the Deep Noise Suppression Challenge. Known for bridging rigorous research and product engineering, he has a strong publication record and helped pioneer algorithms such as WPE and solutions that won CHiME-3. Based in the Greater Seattle Area, he combines hands-on signal-processing expertise with strategic roadmap leadership to deploy state-of-the-art multilingual and generative speech models at scale. An unusual strength is his track record of turning academic challenge-winning methods into robust cloud services used across Microsoft and commercial products.
11 years of coding experience
19 years of employment as a software developer
Ph.D. Speech Audio Signal Processing, Ph.D. Speech Audio Signal Processing at Kyoto University
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