MINUET Musical Interference Unmixing Estimation Technique - PowerPoint PPT Presentation

1 / 15
About This Presentation
Title:

MINUET Musical Interference Unmixing Estimation Technique

Description:

MINUET estimates the channel and removes interference using instantaneous t-f magnitudes only. ... MINUET will be effective for any signals which are WDO. Thank ... – PowerPoint PPT presentation

Number of Views:63
Avg rating:3.0/5.0
Slides: 16
Provided by: room72
Category:

less

Transcript and Presenter's Notes

Title: MINUET Musical Interference Unmixing Estimation Technique


1
MINUETMusical Interference Unmixing Estimation
Technique
  • Scott Rickard, Conor Fearon
  • Department of Electronic Electrical Engineering
  • University College Dublin, Ireland
  • Radu Balan, Justinian Rosca
  • Siemens Corporate Research,
  • Princeton, NJ.

CISS04
18th March 2004
2
MINUET The Problem
  • Given x and n
  • Find s

3
Classical Solution(Adaptive Filtering)
4
Adaptive Algorithms
  • Least-Mean Square (LMS) Algorithm
  • - minimises mean-square error
  • Recursive Least Squares (RLS) Algorithm
  • - minimises sum of squares of error

5
Problem!
  • Performance drastically deteriorates with small
    phase and synchronisation errors.
  • Mixture
  • No error
  • Delayed by 1 sample
  • Delayed by 10 samples

6
W-Disjoint Orthogonality
  • At every point in the t-f representation of a
    mixture, only one source is active.

7
MINUET Solution
  • Consider simple problem
  • Create Mask
  • Solution

8
Synchronisation Errors?
  • The performance of time-frequency masking with
    respect to small phase and synchronisation errors
    is extremely robust.
  • Mixture
  • No error
  • Delayed by 1 sample
  • Delayed by 10 samples

9
SNR improvement
10
Performance Measures
  • SNR is a standard performance measure
  • But what about speech quality?
  • Incorrect partitioning of t-f domain reduces
    intelligibility of output.
  • Introduce measure of WDO

O. Yilmaz and S. Rickard, "Blind Separation of
Speech Mixtures via Time-Frequency Masking", IEEE
Transactions on Signal Processing, To appear,
July 2004.
11
WDO
12
MINUET Channel Estimate
  • Find set of t-f points, S, such that
  • for

13
Adaptive Testing
Unity Channel
Random Channel
14
Conclusions and Future Work
  • MINUET estimates the channel and removes
    interference using instantaneous t-f magnitudes
    only.
  • This creates extraordinary robustness to phase
    errors when compared to classical adaptive
    filtering methods.
  • Improvements in t-f masking still necessary to
    increase intelligibility.
  • Algorithm complexity has not yet been considered.
  • We presented pilot tests serving as proof of
    concept only.
  • More realistic testing must be done to genuinely
    assess performance.
  • MINUET will be effective for any signals which
    are WDO.

15
Thank you for your attention!
Write a Comment
User Comments (0)
About PowerShow.com