82 citations · 396 across the 52 of their papers we have counts for
13 papers · 2 filters
Using a Pitch-Synchronous Residual Codebook for Hybrid HMM/Frame Selection Speech Synthesis
Thomas Drugman, Alexis Moinet, Thierry Dutoit +1
This paper proposes a method to improve the quality delivered by statistical parametric speech synthesizers. For this, we use a codebook of pitch-synchronous residual frames, so as…
Causal-Anticausal Decomposition of Speech using Complex Cepstrum for Glottal Source Estimation
Thomas Drugman, Baris Bozkurt, Thierry Dutoit
Complex cepstrum is known in the literature for linearly separating causal and anticausal components. Relying on advances achieved by the Zeros of the Z-Transform (ZZT) technique,…
The Deterministic plus Stochastic Model of the Residual Signal and its Applications
Thomas Drugman, Thierry Dutoit
The modeling of speech production often relies on a source-filter approach. Although methods parameterizing the filter have nowadays reached a certain maturity, there is still a lo…
A Deterministic plus Stochastic Model of the Residual Signal for Improved Parametric Speech Synthesis
Thomas Drugman, Geoffrey Wilfart, Thierry Dutoit
Speech generated by parametric synthesizers generally suffers from a typical buzziness, similar to what was encountered in old LPC-like vocoders. In order to alleviate this problem…
A Comparative Study of Pitch Extraction Algorithms on a Large Variety of Singing Sounds
Onur Babacan, Thomas Drugman, Nicolas d'Alessandro +2
The problem of pitch tracking has been extensively studied in the speech research community. The goal of this paper is to investigate how these techniques should be adapted to sing…
Glottal Source Processing: from Analysis to Applications
Thomas Drugman, Paavo Alku, Abeer Alwan +1
The great majority of current voice technology applications relies on acoustic features characterizing the vocal tract response, such as the widely used MFCC of LPC parameters. Non…
Complex Cepstrum-based Decomposition of Speech for Glottal Source Estimation
Thomas Drugman, Baris Bozkurt, Thierry Dutoit
Homomorphic analysis is a well-known method for the separation of non-linearly combined signals. More particularly, the use of complex cepstrum for source-tract deconvolution has b…
Glottal Closure and Opening Instant Detection from Speech Signals
Thomas Drugman, Thierry Dutoit
This paper proposes a new procedure to detect Glottal Closure and Opening Instants (GCIs and GOIs) directly from speech waveforms. The procedure is divided into two successive step…
A Comparative Study of Glottal Source Estimation Techniques
Thomas Drugman, Baris Bozkurt, Thierry Dutoit
Source-tract decomposition (or glottal flow estimation) is one of the basic problems of speech processing. For this, several techniques have been proposed in the literature. Howeve…
Detection of Glottal Closure Instants from Speech Signals: a Quantitative Review
Thomas Drugman, Mark Thomas, Jon Gudnason +2
The pseudo-periodicity of voiced speech can be exploited in several speech processing applications. This requires however that the precise locations of the Glottal Closure Instants…
Joint Robust Voicing Detection and Pitch Estimation Based on Residual Harmonics
Thomas Drugman, Abeer Alwan
This paper focuses on the problem of pitch tracking in noisy conditions. A method using harmonic information in the residual signal is presented. The proposed criterion is used bot…
Voice Activity Detection: Merging Source and Filter-based Information
Thomas Drugman, Yannis Stylianou, Yusuke Kida +1
Voice Activity Detection (VAD) refers to the problem of distinguishing speech segments from background noise. Numerous approaches have been proposed for this purpose. Some are base…
Traditional Machine Learning for Pitch Detection
Thomas Drugman, Goeric Huybrechts, Viacheslav Klimkov +1
Pitch detection is a fundamental problem in speech processing as F0 is used in a large number of applications. Recent articles have proposed deep learning for robust pitch tracking…