ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
We propose a new method to group partials produced by each instrument of a polyphonic audio mixture. This method works for pitched and harmonic instruments and is specially adapte...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
This paper summarizes recent work at Microsoft on the development of novel direct models. The key characteristic of our approaches is the use of long-span segment level features t...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
In this paper, we suggest to use a steepest descent algorithm for learning a parametric dictionary in which the structure or atom functions are known in advance. The structure of ...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
This paper describes a new technique for embedding a message within structured shapes. It is desired that my changes in the shape owing to the embedded message are invisible to a ...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
— Ergodic stochastic optimization (ESO) algorithms are proposed to solve resource allocation problems that involve a random state and where optimality criteria are expressed in t...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
In this paper we review the acoustic features used for music-to-score alignment and study their influence on the performance in a challenging alignment task, where the audio data...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
: © Performance Analysis for Blind Identification of Acoustic Channels Majid Fozunbal HP Laboratories HPL-2009-333 Audio, acoustic systems, blind identification, dereverberation, ...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
This paper considers two problems in sparse filter design, the first involving a least-squares constraint on the frequency response, and the second a constraint on signal-to-noi...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
Recently, the Sparse Matrix Transform (SMT) has been proposed as a tool for estimating the eigen-decomposition of high dimensional data vectors [1]. The SMT approach has two major...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
In this paper we show that, surprisingly, it is possible to recover sparse signals from nonlinearly distorted measurements, even if the nonlinearity is unknown. Assuming just that...