ICASSP
2011
IEEE
13 years 4 months ago
2011
IEEE
In this paper, the compensation ability of nonlinear distortions for loudspeaker systems is demonstrated using dynamic distortion measurement. Two linearization methods using a Vo...
ICASSP
2011
IEEE
2011
IEEE
Polyphonic audio-to-score alignment based on Bayesian Latent Harmonic Allocation Hidden Markov Model
13 years 4 months ago
This paper presents a Bayesian method for temporally aligning a music score and an audio rendition. A critical problem in audio-toscore alignment is in dealing with the wide varie...
ICASSP
2011
IEEE
13 years 4 months ago
2011
IEEE
ICASSP
2011
IEEE
13 years 4 months ago
2011
IEEE
Empirical divergence maximization is an estimation method similar to empirical risk minimization whereby the Kullback-Leibler divergence is maximized over a class of functions tha...
ICASSP
2011
IEEE
13 years 4 months ago
2011
IEEE
Linear discriminant analysis (LDA) is a widely used feature extraction method for classification. We introduce distributed implementations of different versions of LDA, suitable ...
ICASSP
2011
IEEE
13 years 4 months ago
2011
IEEE
In this paper, we develop a new approach to the robust beamforming for general-rank signal models. Our method is based on the worst-case performance optimization using a semi-de n...
ICASSP
2011
IEEE
13 years 4 months ago
2011
IEEE
Detecting pitch values for singing voice in the presence of music accompaniment is challenging but useful for many applications. We propose a trend estimation algorithm to detect ...
ICASSP
2011
IEEE
13 years 4 months ago
2011
IEEE
We propose a novel utterance comparison model based on probability theory and factor analysis that computes the likelihood of two speech utterances originating from the same speak...
ICASSP
2011
IEEE
13 years 4 months ago
2011
IEEE
This paper presents a detailed sum rate investigation of Zero-Forcing (ZF) detectors over composite multiple-input multiple-output (MIMO) channels. To this end, we consider the ge...
ICASSP
2011
IEEE
13 years 4 months ago
2011
IEEE
The 2- 1 sparse signal minimization problem can be solved efficiently by gradient projection. In many applications, the signal to be estimated is known to lie in some range of va...