Electronic synthesis using genetic algorithms for automatic music transcription
Proceedings of the 9th annual conference on Genetic and evolutionary computation
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Hybrid genetic algorithm based on gene fragment competition for polyphonic music transcription
Evo'08 Proceedings of the 2008 conference on Applications of evolutionary computing
Multipitch Analysis of Polyphonic Music and Speech Signals Using an Auditory Model
IEEE Transactions on Audio, Speech, and Language Processing
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The main problem behind Automatic Transcription (Multiple Fundamental Frequency - F0 - Estimation) relies on its complexity. Harmonic collision and partial overlapping create a frequency lattice that is almost impossible to deconstruct. Although traditional approaches to this problem of rely mainly in Digital Signal Processing (DSP) techniques, evolutionary algorithms have been applied recently to this problem and achieved competitive results. We describe all evolutionary approaches to the problem of automatic music transcription and how some were improved so they could achieve competitive results. Finally, we show how the best evolutionary approach performs on piano transcription, when compared with the state-of-the-art.