Description

I have developed AI tools mostly in Python that can automatically generate lyric videos from songs where:

•the lyrics appear synchronized with the song timeline, and

•the visual scenes match the theme or meaning of the song.

These are usually called AI lyric video generators or music-to-video generators.

AI algorithms used are ANN (Artificial Neural Networks) and RL (Reinforcement Learning).

These Python frameworks can convert songs directly into videos with the aid of AI. You just pick a mp3 file, and the rest will be done by the Python AI based modules. You don't need a lyrics, nor background images. The Python codes together with AI algorithms will prepare all for you, and you will get a video fully in chorus with the song's lyrics and rhythm. It's not an easy job, needs lots of experiments and computer resources.

Industry field of expertise

Languages

English
Native or bilingual
French
Basic
Greek
Basic
Hebrew
Basic
German
Fluent

Workplace preferences

Remote only

Primarily works remotely

IPCore Design
Researcher & Developer
September 2009 - Today (16 years and 11 months)
IC design verification, based on AI/ML technologies, particularly ANN and RL for coverage speedup and stimulus generation optimization.
See for details.
Artificial Neural Networks Machine learning Reinforcement Learning Python Pytorch
Deutsche Babcock China
Global Procurement Manager
November 1997 - November 1999 (2 years)
Beijing, China
Joined a team from China and Germany for the sourcing for machinery, electric, steel, and other components from China for the company's utility boilers (about 300 – 700 MW boiler) projects worldwide – notably in Germany, India, and Turkey. Purchasing value at ca 200 million US at that time. Purchased US$160 million worth of goods and services for utilities boilers of 600MW for the China, Dezhou, Shandong project.
GE ALSTOM East China
Electrical Engineer
May 1996 - October 1997 (1 year and 5 months)
Shanghai, China
Marketing and coordinating of sales in the Southeastern China area for Power Division (Power Plant equipment, mainly hydropower) , Industrial Division (industrial equipment incl. airport baggage handling and sorting system, automobile painting line equipment, pump and pumping stations, servo-motors, press machines for aircraft manufacture, valves and others) and Naval Division (shipbuilding, Chantier d'Atlantique). Handled a marketing value of more than 13 billion US Dollars.