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 …
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 …
voice pathologies and classify different speaking styles. In this paper, we investigate the …
Convolutional speech recognition with pitch and voice quality features
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 …
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 …
a few works about dysphonia, facial nerve palsy, sialorrhea, atypical deglutition, postsurgical …
Analysis of acoustic parameters from respiratory signal in copd and pneumonia patients
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 …
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 …
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.
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 …
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 …
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 …
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 …
through someone's verbal and non-verbal behavior. In most studies, personality traits were …