• Publications
  • Influence
A blind source separation technique using second-order statistics
TLDR
This paper introduces a new source separation technique exploiting the time coherence of the source signals. Expand
Log-Periodogram Regression Of Time Series With Long Range Dependence
This paper discusses the use of fractional exponential models (Robinson (1990), Beran (1994)) to model the spectral density f(x) of a covariance stationary process when f(x) may be decomposed as f(x)Expand
Pitch-synchronous waveform processing techniques for text-to-speech synthesis using diphones
TLDR
We review in a common framework several algorithms that have been proposed recently, in order to improve the voice quality of a text-to-speech synthesis based on acoustical units concatenation. Expand
Inference in hidden Markov models
TLDR
This book is a comprehensive treatment of inference for hidden Markov models, including both algorithms and statistical theory. Expand
Continuous probabilistic transform for voice conversion
TLDR
We propose a new methodology for representing the relationship between two sets of spectral envelopes of the source speaker and the target speaker in the context of the HNM (harmonic+noise model) system, which allows high-quality voice conversion. Expand
Convergence of a stochastic approximation version of the EM algorithm
The expectation-maximization (EM) algorithm is a powerful computational technique for locating maxima of functions. It is widely used in statistics for maximum likelihood or maximum a posterioriExpand
An Overview of Existing Methods and Recent Advances in Sequential Monte Carlo
TLDR
It is now over a decade since the pioneering contribution of Gordon (1993), which is commonly regarded as the first instance of modern sequential Monte Carlo (SMC) approaches. Expand
Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning
TLDR
We provide a non-asymptotic analysis of the convergence of two well-known algorithms, stochastic gradient descent (a.k.a. Robbins-Monro algorithm) as well as a simple modification where iterates are averaged (a Polyak-Ruppert averaging). Expand
Subspace methods for the blind identification of multichannel FIR filters
TLDR
This paper addresses a problem arising in a context of digital communications. Expand
Subspace methods for the blind identification of multichannel FIR filters
TLDR
A class of methods for identifying a single input/multiple output finite impulse response system (SIMO-FIR), from the outputs of the system only is presented. Expand
...
1
2
3
4
5
...