Speech separation and localisation using particle filtering
The objective of this project is to solve the “Cocktail Party Problem”.
Associate Professor Craig Jin.
Electrical and Information Engineering
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:
- to recover and estimate the original sound source from the observed mixture signals recorded at microphones and
- 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.
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The opportunity ID for this research opportunity is 274
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Associate Professor Craig Jin