Adaptive filter theory
Fundamentals of speech recognition
Fundamentals of speech recognition
Independent component analysis, a new concept?
Signal Processing - Special issue on higher order statistics
Statistical Digital Signal Processing and Modeling
Statistical Digital Signal Processing and Modeling
On the Efficient Speech Feature Extraction Based on Independent Component Analysis
Neural Processing Letters
Non-uniform filterbank bandwidth allocation for system modeling subband adaptive filters
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 03
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
IEEE Transactions on Signal Processing
Speedup convergence and reduce noise for enhanced speech separation and recognition
IEEE Transactions on Audio, Speech, and Language Processing
A subband adaptive filter allowing maximally decimation
IEEE Journal on Selected Areas in Communications
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Uniform filter bank approach can be considered to perform independent component analysis (ICA) for convolved mixtures. It achieves better separation performance than the frequency domain approach and gives faster convergence speed with less computational complexity than the time domain approach. However, when the uniform filter bank approach is applied to natural audio signals, it provides slower convergence for low frequency subbands and gives inferior separation performance for high frequency subbands. Owing to spectral characteristics of natural signals, we present a filter bank approach that employs a Bark-scale filter bank. In the Bark-scale filter bank, low frequency region is minutely divided, whereas high frequency region has much wider subbands. The Bark-scale filter bank approach shows faster convergence speed than the uniform filter bank approach because it has more whitened inputs in the low frequency subbands. It also improves the separation performance as it has enough data to train adaptive parameters exactly in the high frequency subbands.