Výsledky vyhledávání - "Phil D, Green"

Akademický článek

Non-Parallel Articulatory-to-Acoustic Conversion Using Multiview-Based Time Warping

Autor: Jose A. Gonzalez-Lopez, Alejandro Gomez-Alanis, José L. Pérez-Córdoba, Phil D. Green

Publikováno v: Applied Sciences, Vol 12, Iss 3, p 1167 (2022)

In this paper, we propose a novel algorithm called multiview temporal alignment by dependence maximisation in the latent space (TRANSIENCE) for the alignment of time series consisting of sequences of feature vectors with different length and dimensio

Externí odkaz: https://doaj.org/article/8c22a77151374a2ba61b3f8d218a5ecd

Zobrazit plný text záznamu

Voice Restoration with Silent Speech Interfaces (ReSSInt)

Autor: Inma Hernaez, Ibon Saratxaga, Miriam Gonzalez-Atienza, Michael Wand, Víctor García Romillo, Ricard Marxer, Gonzalo Olivares, Jose A. Gonzalez-Lopez, Jose Luis Pérez Córdoba, Eva Navas, Lorenz Diener, Tanja Schultz, Jon Sánchez de la Fuente, Alberto Galdón, Phil D. Green

Publikováno v: IberSPEECH 2021
IberSPEECH 2021, May 2021, Valladolid, Spain. pp.130-134, ⟨10.21437/IberSPEECH.2021-28⟩
IberSPEECH

This work has been funded by the Agencia Estatal de Investigaci´on ref.PID2019-108040RBC21/ AEI/10.13039/501100011033 and PID2019-108040RAC22/AEI/10.13039/501100011033. Jose A. Gonzalez-Lopez holds a Juan de la Cierva-Incorporation Fellowship from t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64dd74d7bd81c5db43d6f335eca750db
https://hal.inria.fr/hal-03599182

Zobrazit plný text záznamu

Sequence labeling to detect stuttering events in read speech

Autor: Sadeen Alharbi, Madina Hasan, Phil D. Green, Shelagh Brumfitt, Anthony J. H. Simons

Stuttering is a speech disorder that, if treated during childhood, may be prevented from persisting into adolescence. A clinician must first determine the severity of stuttering, assessing a child during a conversational or reading task, recording ea

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c19b1233fc6cb6c7dafa047faa39d2a8
https://eprints.whiterose.ac.uk/154688/1/1-s2.0-S0885230819302967-main.pdf

Zobrazit plný text záznamu

Multi-view Temporal Alignment for Non-parallel Articulatory-to-Acoustic Speech Synthesis

Autor: José Andrés González López, Phil D. Green, José L. Pérez-Córdoba, Miriam Gonzalez-Atienza, Alejandro Gómez Alanís

Publikováno v: Digibug. Repositorio Institucional de la Universidad de Granada
instname
Digibug: Repositorio Institucional de la Universidad de Granada
Universidad de Granada (UGR)
IberSPEECH

Articulatory-to-acoustic (A2A) synthesis refers to the generation of audible speech from captured movement of the speech articulators. This technique has numerous applications, such as restoring oral communication to people who cannot longer speak du

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6bc9e32843325e7ca1bd2b1f5f5f88b0

Zobrazit plný text záznamu

A real-time silent speech system for voice restoration after total laryngectomy

Autor: José A. González, Phil D. Green

Publikováno v: Redined, Red de Información Educativa
Ministerio de Educación, Cultura y Deporte (MECD)

Background and aim Individuals who have lost their voice following a laryngectomy as a treatment for cancer will inevitably struggle with their daily communication. Unfortunately, the current methods for speaking after laryngectomy all have limitatio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25634132aa4d40bd8a45a1c56d3b00df
https://doi.org/10.1016/j.rlfa.2018.07.004

Zobrazit plný text záznamu

Direct Speech Reconstruction From Articulatory Sensor Data by Machine Learning

Autor: Lam Aun Cheah, Stephen R. Ell, Roger K. Moore, James M. Gilbert, Ed Holdsworth, José A. González, Angel M. Gomez, Phil D. Green

Publikováno v: IEEE/ACM Transactions on Audio, Speech, and Language Processing. 25:2362-2374

This paper describes a technique that generates speech acoustics from articulator movements. Our motivation is to help people who can no longer speak following laryngectomy, a procedure that is carried out tens of thousands of times per year in the W

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4e893d5f3fdee1f3e9c43f8f7cbb591b
https://doi.org/10.1109/taslp.2017.2757263

Zobrazit plný text záznamu

Restoring speech following total removal of the larynx by a learned transformation from sensor data to acoustics

Autor: James M. Gilbert, Ed Holdsworth, José A. González, Roger K. Moore, Lam Aun Cheah, Phil D. Green, Stephen R. Ell

Publikováno v: The Journal of the Acoustical Society of America. 141:EL307-EL313

Total removal of the larynx may be required to treat laryngeal cancer: speech is lost. This article shows that it may be possible to restore speech by sensing movement of the remaining speech articulators and use machine learning algorithms to derive

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19bb4512157430541723e052a8ce9bca
https://doi.org/10.1121/1.4978364

Zobrazit plný text záznamu

A silent speech system based on permanent magnet articulography and direct synthesis

Autor: Lam Aun Cheah, Jie Bai, Roger K. Moore, Stephen R. Ell, Phil D. Green, James M. Gilbert, José A. González

Publikováno v: Computer Speech & Language. 39:67-87

HighlightsThis paper introduces a 'Silent Speech Interface' with the potential to restore the power of speech to people who have completely lost their voices.Small, unobtrusive magnets are attached to the lips and tongues and changes in magnetic fiel

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9d7b3f5fa7a6ca9c16f91fbcbba34291
https://doi.org/10.1016/j.csl.2016.02.002

Zobrazit plný text záznamu

Phase-Based Feature Representations for Improving Recognition of Dysarthric Speech

Autor: Stuart Cunningham, Siddharth Sehgal, Phil D. Green

Publikováno v: SLT

Dysarthria is a neurological speech impairment, which usually results in the loss of motor speech control due to muscular atrophy and incoordination of the articulators. As a result the speech becomes less intelligible and difficult to model by machi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a89960fa08b3335253ba71b0c923acd7
https://doi.org/10.1109/slt.2018.8639031

Zobrazit plný text záznamu

A Lightly Supervised Approach to Detect Stuttering in Children's Speech

Autor: Sadeen Alharbi, Madina Hasan, Anthony J. H. Simons, Shelagh Brumfitt, Phil D. Green

Publikováno v: INTERSPEECH

© 2018 International Speech Communication Association. All rights reserved. In speech pathology, new assistive technologies using ASR and machine learning approaches are being developed for detecting speech disorder events. Classically-trained ASR m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::210aa832b0d0c76c3fcf0fad35412599
https://doi.org/10.21437/interspeech.2018-2155

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání