Emir Demirel

Background

About Emir Demirel

C.Sci. research developer specialised in Artificial Intelligence based solutions within Music Information Retrieval and Speech-to-Text technologies. Expertise on: Deep Learning, Automatic Speech Recognition, Singing Voice Synthesis, Audio-to-Lyrics Transcription and Alignment, Music Information Retrieval, Machine Learning, Audio Signal Processing, Computational Musicology, Cloud Services Developed the first industry products for audio to lyrics transcription and alignment (ALTAi) Driven by the hope for a positive impact to the music ecosystem through AI PhD thesis on 'Automatic Lyrics Transcription and Alignment' Key skills- Proven Team Player with the ability to collaborate efficiently with colleagues with diverse skills and backgrounds - Excellent problem-solving abilities with prioritising innovation, creativity, robustness and efficiency - Great skills in risk and resource management - Experience on development and deployment of machine learning models into industrial products - Great communication skills both in written and oral media- Excellent technical and theoretical skills in programming, machine learning, data science and music technologies - Ability to work with a number of different programming languages - High ethical values proven through years spent in academia - Prioritising reproducibility and open-science