Abstract
A new filter design based on joint diagonalization of the clean
speech and noise covariance matrices is proposed. First, an
estimate of the noise is found by filtering the observed signal.
The filter for this is generated by a weighted sum of the eigenvectors
from the joint diagonalization. Second, an estimate of
the desired signal is found by subtraction of the noise estimate
from the observed signal. The filter can be designed to
obtain a desired trade-off between noise reduction and signal
distortion, depending on the number of eigenvectors included
in the filter design. This is explored through simulations using
a speech signal corrupted by car noise, and the results confirm
that the output signal-to-noise ratio and speech distortion index
both increase when more eigenvectors are included in the
filter design.
speech and noise covariance matrices is proposed. First, an
estimate of the noise is found by filtering the observed signal.
The filter for this is generated by a weighted sum of the eigenvectors
from the joint diagonalization. Second, an estimate of
the desired signal is found by subtraction of the noise estimate
from the observed signal. The filter can be designed to
obtain a desired trade-off between noise reduction and signal
distortion, depending on the number of eigenvectors included
in the filter design. This is explored through simulations using
a speech signal corrupted by car noise, and the results confirm
that the output signal-to-noise ratio and speech distortion index
both increase when more eigenvectors are included in the
filter design.
| Original language | English |
|---|---|
| Title of host publication | 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) |
| Publisher | IEEE |
| Publication date | 2014 |
| Pages | 7058-7062 |
| ISBN (Print) | 978-1-4799-2892-7, 9781479928941 |
| DOIs | |
| Publication status | Published - 2014 |
| Event | IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) - Firenze, Italy Duration: 4 May 2014 → 9 May 2014 Conference number: 18874 |
Conference
| Conference | IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) |
|---|---|
| Number | 18874 |
| Country/Territory | Italy |
| City | Firenze |
| Period | 04/05/2014 → 09/05/2014 |
Keywords
- Noise reduction, speech enhancement, single channel, time-domain filtering, joint diagonalization.