Emir Demirel
Sr. Data Scientist
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolEmir Demirel is a Senior Data Scientist and founder with nine years' experience building AI-driven music and speech technologies, specializing in deep learning for Automatic Speech Recognition, Singing Voice Synthesis, and audio-to-lyrics transcription and alignment. He holds a PhD in Computer Science with a thesis on Automatic Lyrics Transcription and Alignment and has shipped the first industry products for audio-to-lyrics transcription through his work at startups and research teams including Doremir, Spotify, and his own Altai Technologies. Emir blends academic rigor and open-science principles with practical product deployment experience, moving models from research prototypes into cloud-native production systems. A proven team player and communicator, he balances innovation, resource management, and ethical practice while prioritizing reproducibility. Based in London, he uniquely combines computational musicology and signal processing expertise with hands-on engineering across multiple programming languages.
9 years of coding experience
4 years of employment as a software developer
Master's degree, Sound and Music Computing, Master's degree, Sound and Music Computing at Universitat Pompeu FabraDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Queen Mary University of LondonBachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at Orta Doğu Teknik Üniversitesi / Middle East Technical University
Stackoverflow
21reputation
2kreached
1answer
1question
Github Skills (47)
speech-processing9
low-memory9
voice-recognition9
audio-processing9
speech-to-text9
scales9
language-model9
asr9
weak-supervision9
chord9
huggingface9
audio9
speech9
speech-recognition8
kaldi8
Programming languages (4)
Github contributions (5)
MTG/JAAH
Mar 2017 - Jun 2019
Contributions:298 commits, 3 pushes in 2 years 3 months
emirdemirel/ASA_ICASSP2021
Sep 2020 - Oct 2022
A duration-invariant audio-to-lyrics alignment pipeline with low memory footprint which segments long music recordings via a recursive biased decoding procedure.
Contributions:126 commits, 23 pushes, 2 comments in 2 years 1 month
audiolow-memory
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.