Pawel Cyrta

About Me

Paweł Cyrta is a Applied Research Scientist and ML Engineer with over 20 years of expertise in audio technology and machine learning.
His innovative work spans the realms of speech recognition, speech synthesis, natural language processing, and generative audio AI.
Currently, Paweł consults on emerging audio technology projects, delivering bespoke on-premise state-of-the-art ML solutions for complex speech and audio tasks, bridging the gap between cutting-edge technology and practical business solutions.

His diverse career spans multiple industries, including work with prominent organizations such as NowThisMedia, Rev.ai and Roche, where he implemented cutting-edge audio ML solutions.
At Samsung, he played a key role in developing speech recognition and synthesis for S-Voice in 24 European languages, a technology now available in Samsung TVs.

Paweł's academic background combines Computer Science and Electroacoustics from the Warsaw University of Technology with Computational Engineering from HPC center, at the University of Warsaw.
He completed research intership at IRCAM in Paris focused on integrating natural emotions into speech and singing synthesis, bridging the gap between technology and expressive audio content.

He also shares his expertise as a lecturer in Deep Learning postgraduate studies at Warsaw University of Technology,
previously teaching "Interactive Systems" and "Interactive Sound II" at the Fryderyk Chopin University of Music.

As a composer and researcher in music technology, Paweł brings a unique perspective to audio ML, specializing in generative music, interactive systems, and algorithmic composition.
His multifaceted approach combines technical prowess with creative insight, driving innovation in sound analysis and processing, as technical curator and artist at many digital art festivals in Poland.

In his talk, Paweł will share insights from his latest research on large scale, distributed processing of audio data, demonstrating how advanced ML techniques are reshaping the landscape of audio technology and opening new possibilities for intelligent sound processing.

#AppliedResearch on #speech_recognition, #speech_synthesis, #speech_enhancement, #sound_generation, #audio_analysis, #music_information_retrieval, #music_generation, #NLP, #LLM