Date of Submission
Spring 2013
Academic Program
Computer Science
Project Advisor 1
Sven Anderson
Abstract/Artist's Statement
Is it just a statistics problem?
How can a listener tell which instruments are playing together without reading the musical score? Can a computer algorithm separate different instrument voices automatically? Blind signal separation tries to separate instrumental voices based on statistical regularities in the signal. This project focuses on recordings of two different instruments simultaneously playing the same notes. Independent components analysis, one form of blind signal separation, was used to separate signals collected by two independent microphones. The experimental results show that voices combined by adding signals mathematically are separated better than voices combined acoustically and collected by two independent microphones Instrument timbres also affect the ability to separate voices. Statistics can separate some artificially constructed signals, but separating recorded signals is much more difficult.
Distribution Options
Access restricted to On-Campus only
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.
Recommended Citation
Lin, Hsiao-Fang, "Turning A Duet Into Two Solos" (2013). Senior Projects Spring 2013. 390.
https://digitalcommons.bard.edu/senproj_s2013/390
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