I am a trained researcher and engineer who specializes in audio signal processing and computer audition. I am also an amateur musician with knowledge in and around audio engineering. I have strong communication and leadership skills. My technical expertise lies in speech and audio signal processing, audio coding, music informatics, and telecommunications. I founded Algoriffix to explore the possibilities of artificial musical intelligence as a source of inspiration. In the past I held the position of Staff Research Engineer at Dolby, where I made contributions to Dolby AC-4 for Dolby Atmos. I also worked on projects with Sony, Yamaha, and the technology transfer agency Aquitaine Science Transfert. I am mostly interested in assignments around computer audition and music production, but I am eager to transfer my knowledge of signal processing and machine learning to related disciplines, such as computer vision. My hourly rate depends on the project and is negotiable. --- **Most recent employment and project experience** **Founder** Algoriffix AB _October 2020 - Present_ **Audio Signal Processing Specialist/Consultant** Zoundio AB _August 2022 - October 2023_ **Staff Research Engineer** Dolby Sweden AB _April 2016 - October 2020_

I am a trained researcher and engineer who specializes in audio signal processing and computer audition. I am also an amateur musician with knowledge in and around audio engineering. I have strong communication and leadership skills. My technical expertise lies in speech and audio signal processing, audio coding, music informatics, and telecommunications. I founded Algoriffix to explore the possibilities of artificial musical intelligence as a source of inspiration. In the past I held the position of Staff Research Engineer at Dolby, where I made contributions to Dolby AC-4 for Dolby Atmos. I also worked on projects with Sony, Yamaha, and the technology transfer agency Aquitaine Science Transfert. I am mostly interested in assignments around computer audition and music production, but I am eager to transfer my knowledge of signal processing and machine learning to related disciplines, such as computer vision. My hourly rate depends on the project and is negotiable. --- **Most recent employment and project experience** **Founder** Algoriffix AB _October 2020 - Present_ **Audio Signal Processing Specialist/Consultant** Zoundio AB _August 2022 - October 2023_ **Staff Research Engineer** Dolby Sweden AB _April 2016 - October 2020_

Available to hire

I am a trained researcher and engineer who specializes in audio signal processing and computer audition. I am also an amateur musician with knowledge in and around audio engineering. I have strong communication and leadership skills.

My technical expertise lies in speech and audio signal processing, audio coding, music informatics, and telecommunications. I founded Algoriffix to explore the possibilities of artificial musical intelligence as a source of inspiration. In the past I held the position of Staff Research Engineer at Dolby, where I made contributions to Dolby AC-4 for Dolby Atmos. I also worked on projects with Sony, Yamaha, and the technology transfer agency Aquitaine Science Transfert.

I am mostly interested in assignments around computer audition and music production, but I am eager to transfer my knowledge of signal processing and machine learning to related disciplines, such as computer vision.

My hourly rate depends on the project and is negotiable.


Most recent employment and project experience

Founder Algoriffix AB
October 2020 - Present

Audio Signal Processing Specialist/Consultant Zoundio AB
August 2022 - October 2023

Staff Research Engineer Dolby Sweden AB
April 2016 - October 2020

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Skills

AI
AI Collection (Audio)
C++
Github
FL Studio
Am
Amazon Web Services
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Experience Level

AI Collection (Audio)
Expert
C++
Expert
Github
Expert
FL Studio
Expert
Amazon Web Services
Expert
Adobe Audition
Expert
Mix
Expert
Master
Expert
React JS
Intermediate
Python
Intermediate
PyTorch
Intermediate
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Language

English
Fluent
German
Fluent
Russian
Fluent
French
Fluent
Spanish; Castilian
Intermediate
Swedish
Intermediate

Education

Add your educational history here.

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Computers & Electronics, Education, Media & Entertainment, Telecommunications
    uniE613 Machine Recognition of Basic Patterns in Music
    I founded Algoriffix to explore the possibilities of artificial musical intelligence as a source of inspiration. Since the inception of the company, I have been designing proprietary algorithms for the recognition of basic musical patterns, such as notes, rhythm, key, harmony, and melody. The results of my work are today assembled in the Transkr V2 audio plug-in. https://www.twine.net/signin
    uniE613 Gibson's Guitar Learning App
    The ultimate goal of this project with Zoundio, the company behind the Gibson App, was to bring the audio engine with all the signal processing components to the next level, and in the process to also enable practice without the use of headphones, which we did. https://www.twine.net/signin
    uniE613 AI Song Contest 2021 Participation
    The word is that Transatlantic Waves was born out of a collaboration between Algoriffix and VoxGarten that was initiated by the computer scientist and music enthusiast Stanislaw Gorlow. After a successful first trial with the formally trained bass virtuoso and composer Juan Carlos Sardaneta and with the creative assistance of the music producer Jorge Costa, we decided to take on a bigger challenge by joining the AI Song Contest. To even out the team both geographically and musically, two more members from Stockholm came on board: Leo Krepper, an upcoming young guitarist with a strong background in jazz, and the multitalented musician and songwriter Adam Öhman, better known as Mountain Bird. Adam never fails to give a personal and human touch to electronic music. The team never worked together before, which seemed like adding some extra spice to the project. We landed in place 13 out of 38 participants, scoring higher than the winner song after public vote. https://www.twine.net/signin https://www.twine.net/signin