1. Enhancement of Speech in Noisy Conditions Progress Presentation Paul Coffey

2. Contents Project Overview Progress to Date Problems and Issues Work Still to Do Timeline Paul CoffeyProgress Presentation

3. Project Overview This project is about The “Enhancement of Speech in Noisy Conditions” Speech Enhancement is used in communications everywhere – From Mobile Phones to Speech Recognition Systems Paul CoffeyProgress Presentation

4. Project Overview To Investigate Spectral Subtraction – A method to improve the quality of a signal that has been effected by noise – X(f) = S(f) – P(f) Implement Wiener Filter Method – Works on same basis as Spectral Subtraction – W(f) = P XX (f) / ( P XX (f) + P YY (f)) Paul CoffeyProgress Presentation

5. Progress To Date So far the majority of work has been carried out in Spectral Subtraction – This involved researching Spectral Subtraction – Then trying to apply this in Matlab Wiener Filtering is also involved – This method was researched and working in Matlab Paul CoffeyProgress Presentation

6. Problems and Issues Number of Problems appeared during the project so far – Main issue so far have been connected with Matlab Getting to grips with Matlab was one of the main problems throughout the project – Although there is a lot of examples and information on the internet about Matlab, it seemed very complicated Paul CoffeyProgress Presentation

7. Work still to Do To get the two algorithms working fully Carry out thorough evaluation using “Listening Tests” Translate Spectral Subtraction to C Construct a simple speech acquisition circuit and interface it with a PC Extend the Spectral Subtraction to include Auditory Masking Paul CoffeyProgress Presentation

8. Timeline Now Till 31 st January – Finish work on Spectral Subtraction and Wiener filtering 1 st February to 14 th February – Carry Out Testing 15 th Feb to 7 th March – Translate Spectral Subtraction to C 8 th March to 21 st March – Construct Circuit and interface to PC Paul CoffeyProgress Presentation

9. Timeline 22 nd March onwards – Extend Spectral Subtraction to include Auditory Masking Paul CoffeyProgress Presentation

10. Questions? Paul CoffeyProgress Presentation