The auditory organization of speech and other sources in listeners and computational models
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 …
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 …
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 …
component analysis (ICA) and beamforming are combined to resolve the slow-convergence …
A bag-of-features approach to acoustic event detection
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 …
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
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 …
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
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 …
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
Featured Application The proposed framework is highly suitable for audio applications that
require analysis–synthesis systems with the following properties: stability, perfect …
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 …
independent component analysis (FDICA) and time-domain ICA (TDICA) are combined to …
Gammatone wavelet features for sound classification in surveillance applications
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 …
interest for home-teleassistance and surveillance purposes. In the sound event recognition …