The use of long-term features for GMM-and i-vector-based speaker diarization systems

AW Zewoudie, J Luque, J Hernando - EURASIP Journal on Audio, Speech …, 2018 - Springer
Several factors contribute to the performance of speaker diarization systems. For instance,
the appropriate selection of speech features is one of the key aspects that affect speaker …

Voice-quality Features for Deep Neural Network Based Speaker Verification Systems

A Woubie, L Koivisto… - 2021 29th European Signal …, 2021 - ieeexplore.ieee.org
Jitter and shimmer are voice-quality features which have been successfully used to detect
voice pathologies and classify different speaking styles. In this paper, we investigate the …

Convolutional speech recognition with pitch and voice quality features

G Cámbara, J Luque, M Farrús - arXiv preprint arXiv:2009.01309, 2020 - arxiv.org
The effects of adding pitch and voice quality features such as jitter and shimmer to a state-of-
the-art CNN model for Automatic Speech Recognition are studied in this work. Pitch features …

Kinesio taping application in dysphonic singers

C Mezzedimi, MC Spinosi, V Mannino, F Ferretti… - Journal of Voice, 2020 - Elsevier
Abstract Introduction Kinesio Taping (KT) application in speech therapy has been studied in
a few works about dysphonia, facial nerve palsy, sialorrhea, atypical deglutition, postsurgical …

Analysis of acoustic parameters from respiratory signal in copd and pneumonia patients

Z NEILI, M FEZARI, R Abdeghani - … International Conference on …, 2018 - ieeexplore.ieee.org
In this paper, a statistical analysis is performed for many parameters such as Harmonic to
Nois Ratio (HNR), Pitch and Amplitude Perturbation (jitter and shimmer) was applied to …

Unsupervised learning for expressive speech synthesis

I Jauk - 2017 - upcommons.upc.edu
Nowadays, especially with the upswing of neural networks, speech synthesis is almost
totally data driven. The goal of this thesis is to provide methods for automatic and …

[PDF][PDF] Improving i-Vector and PLDA Based Speaker Clustering with Long-Term Features.

A Woubie, J Luque, J Hernando - INTERSPEECH, 2016 - academia.edu
Abstract i-vector modeling techniques have been successfully used for speaker clustering
task recently. In this work, we propose the extraction of i-vectors from short-and long-term …

Short-and long-term speech features for hybrid hmm-i-vector based speaker diarization system

AW Zewoudie, J Luque… - Odyssey 2016-The …, 2016 - upcommons.upc.edu
i-vectors have been successfully applied over the last years in speaker recognition tasks.
This work aims at assessing the suitability of i-vector modeling within the frame of speaker …

[HTML][HTML] Implementación de un algoritmo para la identificación de usuarios considerando problemas fisiológicos que afectan el habla

DE Rey-Lancheros, HJ Gavilán-Acosta… - Iteckne, 2017 - scielo.org.co
En este documento se presenta el diseño e implementación de un algoritmo para la
identificación de usuarios por medio de voz, considerando problemas fisiológicos que …

Multimodal personality assessment from audio, visual, and verbal features

A Koutsoumpis - 2024 - research.vu.nl
The main theme of the present dissertation was the measurement of personality traits
through someone's verbal and non-verbal behavior. In most studies, personality traits were …