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About Automatic Music Transcription An Overview
1) Automatic music transcription aims to convert acoustic music signals into music notation through computational algorithms. It involves analyzing complex auditory scenes, recognizing musical objects, and forming musical structures and inferences. 2) Automatic music transcription is considered a fundamental and challenging problem due to the presence of multiple concurrent sound sources and events in polyphonic music. It has applications in music education, creation, production, search, and analysis. 3) The document discusses key challenges in automatic music transcription like dealing with multiple simultaneous notes and instruments, and musical objects occupying the same frequencies, drawing analogies to problems in speech and image processing. It provides an overview of approaches and open challenges.
Detailed Information
| Author: | ['Jasper Chen'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 10 |
| Language: | English |
| Format: | |
| Price: | FREE |
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