ICASSP
2010
IEEE
13 years 10 months ago
2010
IEEE
This paper proposes a method for separating the signals of individual musical instruments from monaural musical audio. The mixture signal is modeled as a sum of the spectra of ind...
ICASSP
2010
IEEE
13 years 10 months ago
2010
IEEE
ICASSP
2010
IEEE
13 years 10 months ago
2010
IEEE
Sparse coding networks, which utilize unsupervised learning to maximize coding efficiency, have successfully reproduced response properties found in primary visual cortex [1]. Ho...
ICASSP
2010
IEEE
13 years 10 months ago
2010
IEEE
We investigate usefulness of across-phone variability for speaker recognition in a joint factor analysis (JFA) framework. We estimate the variability as across-phone covariance wi...
ICASSP
2010
IEEE
13 years 10 months ago
2010
IEEE
This paper studies the influence of n-gram language models in the recognition of sung phonemes and words. We train uni-, bi-, and trigram language models for phonemes and bi- and...
ICASSP
2010
IEEE
13 years 10 months ago
2010
IEEE
This paper deals with the problem of under-determined convolutive blind source separation. We model the contribution of each source to all mixture channels in the time-frequency d...
ICASSP
2010
IEEE
13 years 10 months ago
2010
IEEE
In this paper, we present a novel approach to relax the constraint of stereo-data which is needed in a series of algorithms for noise-robust speech recognition. As a demonstration...
ICASSP
2010
IEEE
13 years 10 months ago
2010
IEEE
Nonnegative matrix factorization (NMF) is a widely-used tool for obtaining low-rank approximations of nonnegative data such as digital images, audio signals, textual data, financ...
ICASSP
2010
IEEE
13 years 10 months ago
2010
IEEE
We present a technique for following a live performance in the situation where a score is not available. Making use of a local alignment between recent and longer term musical inf...
ICASSP
2010
IEEE
13 years 10 months ago
2010
IEEE
In this paper, independent component analysis (ICA) in a subband domain has been extended into a feed-forward network. The feed-forward network maximizes mutual independence of se...