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Relative-pitch tracking of multiple arbitrary sounds
1Adobe Systems Inc., 275 Grove Street, Newton, Massachusetts 02466, USA. paris@adobe.com
The Journal of the Acoustical Society of America
|May 12, 2009
Summary
This study introduces a probabilistic method for tracking perceived pitch in complex sounds, including multiple sources and aperiodic signals. The approach demonstrates robust performance on real recordings, offering a novel alternative to traditional pitch tracking techniques.
Area of Science:
- Acoustics
- Signal Processing
- Computational Audition
Background:
- Traditional pitch tracking methods struggle with aperiodic sounds and multiple simultaneous sound sources.
- Defining and tracking pitch can be challenging for sounds with ill-defined spectral profiles.
Purpose of the Study:
- To develop a robust probabilistic methodology for perceived pitch tracking.
- To extend pitch tracking capabilities to aperiodic sounds and mixtures of simultaneous sources.
- To model perceived pitch changes using a shift-invariant representation in the constant-Q domain.
Main Methods:
- Utilized a probabilistic approach for pitch tracking.
- Employed a shift-invariant representation in the constant-Q domain to model spectral shifts.
- Developed a mixture model to enable simultaneous tracking of multiple sound sources.
Main Results:
- Demonstrated the feasibility of tracking perceived pitch in potentially aperiodic sounds.
- Successfully tracked pitch in mixtures of simultaneous sound sources.
- Showcased the model's robustness under adverse conditions using real recordings.
Conclusions:
- The probabilistic methodology offers a robust and versatile approach to pitch tracking.
- The constant-Q domain representation enables pitch tracking even for sounds with ill-defined pitch.
- The mixture model extends capabilities to complex acoustic scenes, outperforming traditional methods.
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