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NN
2004
Springer
102views Neural Networks» more  NN 2004»
13 years 10 months ago
A Quantitative Evaluation of a Bio-inspired Sound Segregation Technique for Two- and Three-Source Mixtures
A sound source separation technique based on a bio-inspired neural network, capable of functioning in more than two-source mixtures, is proposed. Separation results are compared wi...
Ramin Pichevar, Jean Rouat
ICASSP
2009
IEEE
14 years 5 days ago
An auditory-based feature for robust speech recognition
A conventional automatic speech recognizer does not perform well in the presence of noise, while human listeners are able to segregate and recognize speech in noisy conditions. We...
Yang Shao, Zhaozhang Jin, DeLiang Wang, Soundarara...
ICASSP
2011
IEEE
12 years 9 months ago
Robust speaker identification using a CASA front-end
Speaker recognition remains a challenging task under noisy conditions. Inspired by auditory perception, computational auditory scene analysis (CASA) typically segregates speech by...
Xiaojia Zhao, Yang Shao, DeLiang Wang
MM
2005
ACM
146views Multimedia» more  MM 2005»
13 years 11 months ago
Unsupervised content discovery in composite audio
Automatically extracting semantic content from audio streams can be helpful in many multimedia applications. Motivated by the known limitations of traditional supervised approache...
Rui Cai, Lie Lu, Alan Hanjalic
NIPS
2000
13 years 6 months ago
One Microphone Source Separation
Source separation, or computational auditory scene analysis, attempts to extract individual acoustic objects from input which contains a mixture of sounds from different sources, ...
Sam T. Roweis