Speech separation and localisation using particle filtering

Summary

The objective of this project is to solve the “Cocktail Party Problem”.

Supervisor(s)

Associate Professor Craig Jin

Research Location

Electrical and Information Engineering

Program Type

PHD

Synopsis

Humans have a remarkable ability to localise and separate a single speech source in a noisy and cluttered multi-talker environment. This is particularly remarkable when one considers that we only use two ears (sensors) to do so. Steps to solving the "Cocktail Party Problem" include:

1. to recover and estimate the original sound source from the observed mixture signals recorded at microphones and
2. to localise and track a moving sound source accurately from the observed mixture of signals

The Sequential Monte Carlo (SMC) method, also known as particle filtering will be investigated as a technique to achieve these objectives.

Keywords

Audio Engineering, Signal Processing, Source Separation, Sound localisation, Particle Filtering

Opportunity ID

The opportunity ID for this research opportunity is: 274

Other opportunities with Associate Professor Craig Jin

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• Binaural signal processing algorithms for hearing aids
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• Placement-aware Hardware Description Languages
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