Sciweavers

Share
ICASSP
2008
IEEE
10 years 2 months ago
Weighted maximum likelihood autoregressive and moving average spectrum modeling
We propose new algorithms for estimating autoregressive (AR), moving average (MA), and ARMA models in the spectral domain. These algorithms are derived from a maximum likelihood a...
Roland Badeau, Bertrand David
ICASSP
2008
IEEE
10 years 2 months ago
Unsupervised validity measures for vocalization clustering
This paper describes unsupervised speech/speaker cluster validity measures based on a dissimilarity metric, for the purpose of estimating the number of clusters in a speech data s...
Kuntoro Adi, Kristine E. Sonstrom, Peter M. Scheif...
ICASSP
2008
IEEE
10 years 2 months ago
Universal background model based speech recognition
Daniel Povey, Selina M. Chu, Balakrishnan Varadara...
ICASSP
2008
IEEE
10 years 2 months ago
Iteratively reweighted algorithms for compressive sensing
The theory of compressive sensing has shown that sparse signals can be reconstructed exactly from many fewer measurements than traditionally believed necessary. In [1], it was sho...
Rick Chartrand, Wotao Yin
ICASSP
2008
IEEE
10 years 2 months ago
Sequential experimental design for misspecified nonlinear models
In design of experiments for nonlinear regression model identification, the design criterion depends on the unknown parameters to be identified. Classical strategies consist in ...
H. ElAbiad, Laurent Le Brusquet, Marie-Eve Davoust
ICASSP
2008
IEEE
10 years 2 months ago
Admissible stopping in viterbi beam search for unit selection in concatenative speech synthesis
Corpus-based concatenative speech synthesis is very popular these days due to its highly natural speech quality. The amount of computation required in the run time, however, is of...
Shinichi Sakai, Tatsuya Kawahara, Shun Nakamura
ICASSP
2008
IEEE
10 years 2 months ago
Wavelet-domain compressive signal reconstruction using a Hidden Markov Tree model
Compressive sensing aims to recover a sparse or compressible signal from a small set of projections onto random vectors; conventional solutions involve linear programming or greed...
Marco F. Duarte, Michael B. Wakin, Richard G. Bara...
ICASSP
2008
IEEE
10 years 2 months ago
A covariance kernel for SVM language recognition
Discriminative training for language recognition has been a key tool for improving system performance. In addition, recognition directly from shifted-delta cepstral features has p...
William M. Campbell
ICASSP
2008
IEEE
10 years 2 months ago
Time-frequency localization from sparsity constraints
In the case of multicomponent AM-FM signals, the idealized representation which consists of weighted trajectories on the time-frequency (TF) plane, is intrinsically sparse. Recent...
Pierre Borgnat, Patrick Flandrin
ICASSP
2008
IEEE
10 years 2 months ago
Decentralized set-membership adaptive estimation for clustered sensor networks
This paper proposes a clustering approach to parameter estimation in distributed sensor networks. The proposed approach is an alternative to the conventional centralized and decen...
Stefan Werner, Mobien Mohammed, Yih-Fang Huang, Vi...
books