82 citations · 396 across the 52 of their papers we have counts for
22 papers · 1 filter
Detection of Lexical Stress Errors in Non-Native (L2) English with Data Augmentation and Attention
Daniel Korzekwa, Roberto Barra-Chicote, Szymon Zaporowski +6
This paper describes two novel complementary techniques that improve the detection of lexical stress errors in non-native (L2) English speech: attention-based feature extraction an…
Prosodic Representation Learning and Contextual Sampling for Neural Text-to-Speech
Sri Karlapati, Ammar Abbas, Zack Hodari +4
In this paper, we introduce Kathaka, a model trained with a novel two-stage training process for neural speech synthesis with contextually appropriate prosody. In Stage I, we learn…
CAMP: a Two-Stage Approach to Modelling Prosody in Context
Zack Hodari, Alexis Moinet, Sri Karlapati +6
Prosody is an integral part of communication, but remains an open problem in state-of-the-art speech synthesis. There are two major issues faced when modelling prosody: (1) prosody…
Parametric Representation for Singing Voice Synthesis: a Comparative Evaluation
Onur Babacan, Thomas Drugman, Tuomo Raitio +2
Various parametric representations have been proposed to model the speech signal. While the performance of such vocoders is well-known in the context of speech processing, their ex…
Maximum Phase Modeling for Sparse Linear Prediction of Speech
Thomas Drugman
Linear prediction (LP) is an ubiquitous analysis method in speech processing. Various studies have focused on sparse LP algorithms by introducing sparsity constraints into the LP f…
Analysis and Synthesis of Hypo and Hyperarticulated Speech
Benjamin Picart, Thomas Drugman, Thierry Dutoit
This paper focuses on the analysis and synthesis of hypo and hyperarticulated speech in the framework of HMM-based speech synthesis. First of all, a new French database matching ou…
Residual Excitation Skewness for Automatic Speech Polarity Detection
Thomas Drugman
Detecting the correct speech polarity is a necessary step prior to several speech processing techniques. An error on its determination could have a dramatic detrimental impact on t…
Maximum Voiced Frequency Estimation: Exploiting Amplitude and Phase Spectra
Thomas Drugman, Yannis Stylianou
Maximum Voiced Frequency (MVF) is used in various speech models as the spectral boundary separating periodic and aperiodic components during the production of voiced sounds. Recent…
Data-driven Detection and Analysis of the Patterns of Creaky Voice
Thomas Drugman, John Kane, Christer Gobl
This paper investigates the temporal excitation patterns of creaky voice. Creaky voice is a voice quality frequently used as a phrase-boundary marker, but also as a means of portra…
Glottal source estimation robustness: A comparison of sensitivity of voice source estimation techniques
Thomas Drugman, Thomas Dubuisson, Alexis Moinet +2
This paper addresses the problem of estimating the voice source directly from speech waveforms. A novel principle based on Anticausality Dominated Regions (ACDR) is used to estimat…
Oscillating Statistical Moments for Speech Polarity Detection
Thomas Drugman, Thierry Dutoit
An inversion of the speech polarity may have a dramatic detrimental effect on the performance of various techniques of speech processing. An automatic method for determining the sp…
Glottal Source Estimation using an Automatic Chirp Decomposition
Thomas Drugman, Baris Bozkurt, Thierry Dutoit
In a previous work, we showed that the glottal source can be estimated from speech signals by computing the Zeros of the Z-Transform (ZZT). Decomposition was achieved by separating…
Audio and Contact Microphones for Cough Detection
Thomas Drugman, Jerome Urbain, Nathalie Bauwens +4
In the framework of assessing the pathology severity in chronic cough diseases, medical literature underlines the lack of tools for allowing the automatic, objective and reliable d…
Chirp Complex Cepstrum-based Decomposition for Asynchronous Glottal Analysis
Thomas Drugman, Thierry Dutoit
It was recently shown that complex cepstrum can be effectively used for glottal flow estimation by separating the causal and anticausal components of speech. In order to guarantee…
CopyCat: Many-to-Many Fine-Grained Prosody Transfer for Neural Text-to-Speech
Sri Karlapati, Alexis Moinet, Arnaud Joly +3
Prosody Transfer (PT) is a technique that aims to use the prosody from a source audio as a reference while synthesising speech. Fine-grained PT aims at capturing prosodic aspects l…
Voice Conversion for Whispered Speech Synthesis
Marius Cotescu, Thomas Drugman, Goeric Huybrechts +2
We present an approach to synthesize whisper by applying a handcrafted signal processing recipe and Voice Conversion (VC) techniques to convert normally phonated speech to whispere…
On the Mutual Information between Source and Filter Contributions for Voice Pathology Detection
Thomas Drugman, Thomas Dubuisson, Thierry Dutoit
This paper addresses the problem of automatic detection of voice pathologies directly from the speech signal. For this, we investigate the use of the glottal source estimation as a…
Excitation-based Voice Quality Analysis and Modification
Thomas Drugman, Thierry Dutoit, Baris Bozkurt
This paper investigates the differences occuring in the excitation for different voice qualities. Its goal is two-fold. First a large corpus containing three voice qualities (modal…
Eigenresiduals for improved Parametric Speech Synthesis
Thomas Drugman, Geoffrey Wilfart, Thierry Dutoit
Statistical parametric speech synthesizers have recently shown their ability to produce natural-sounding and flexible voices. Unfortunately the delivered quality suffers from a typ…
Assessment of Audio Features for Automatic Cough Detection
Thomas Drugman, Jerome Urbain, Thierry Dutoit
This paper addresses the issue of cough detection using only audio recordings, with the ultimate goal of quantifying and qualifying the degree of pathology for patients suffering f…
A Comparative Evaluation of Pitch Modification Techniques
Thomas Drugman, Thierry Dutoit
This paper addresses the problem of pitch modification, as an important module for an efficient voice transformation system. The Deterministic plus Stochastic Model of the residual…
Phase-based Information for Voice Pathology Detection
Thomas Drugman, Thomas Dubuisson, Thierry Dutoit
In most current approaches of speech processing, information is extracted from the magnitude spectrum. However recent perceptual studies have underlined the importance of the phase…