Signal processing methods for music transcription

A Klapuri, M Davy - 2007 - books.google.com
Signal Processing Methods for Music Transcription is the first book dedicated to uniting
research related to signal processing algorithms and models for various aspects of music …

The auditory organization of speech and other sources in listeners and computational models

M Cooke, DPW Ellis - Speech communication, 2001 - Elsevier
Speech is typically perceived against a background of other sounds. Listeners are adept at
extracting target sources from the acoustic mixture reaching the ears. The auditory scene …

Blind source separation combining independent component analysis and beamforming

H Saruwatari, S Kurita, K Takeda, F Itakura… - EURASIP Journal on …, 2003 - Springer
We describe a new method of blind source separation (BSS) on a microphone array
combining subband independent component analysis (ICA) and beamforming. The …

Blind source separation based on a fast-convergence algorithm combining ICA and beamforming

H Saruwatari, T Kawamura, T Nishikawa… - … on Audio, speech …, 2006 - ieeexplore.ieee.org
We propose a new algorithm for blind source separation (BSS), in which independent
component analysis (ICA) and beamforming are combined to resolve the slow-convergence …

A bag-of-features approach to acoustic event detection

A Plinge, R Grzeszick, GA Fink - 2014 IEEE International …, 2014 - ieeexplore.ieee.org
The classification of acoustic events in indoor environments is an important task for many
practical applications in smart environments. In this paper a novel approach for classifying …

Comparison of the roex and gammachirp filters as representations of the auditory filter

M Unoki, T Irino, B Glasberg, BCJ Moore… - The Journal of the …, 2006 - pubs.aip.org
Electronic mail: unoki@ jaist. ac. jp. With regard to contributions: MU developed the parallel
cGC filter used t separate the effects of filter shape and architecture, and performed all of the …

Bag-of-features methods for acoustic event detection and classification

R Grzeszick, A Plinge, GA Fink - IEEE/ACM Transactions on …, 2017 - ieeexplore.ieee.org
The detection and classification of acoustic events in various environments is an important
task. Its applications range from multimedia analysis to surveillance of humans or even …

[HTML][HTML] Audlet filter banks: A versatile analysis/synthesis framework using auditory frequency scales

T Necciari, N Holighaus, P Balazs, Z Průša, P Majdak… - Applied Sciences, 2018 - mdpi.com
Featured Application The proposed framework is highly suitable for audio applications that
require analysis–synthesis systems with the following properties: stability, perfect …

Blind source separation of acoustic signals based on multistage ICA combining frequency-domain ICA and time-domain ICA

T Nishikawa, H Saruwatari… - IEICE Transactions on …, 2003 - search.ieice.org
We propose a new algorithm for blind source separation (BSS), in which frequency-domain
independent component analysis (FDICA) and time-domain ICA (TDICA) are combined to …

Gammatone wavelet features for sound classification in surveillance applications

X Valero, F Alías - 2012 Proceedings of the 20th European …, 2012 - ieeexplore.ieee.org
Sound can deliver highly informative data about the environment, which can be of particular
interest for home-teleassistance and surveillance purposes. In the sound event recognition …