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Future Speech Interfaces with Sensors and Machine Intelligence

Speech is the most spontaneous and natural means of communication. Speech is also becoming the preferred modality for interacting with mobile or fixed electronic devices. However, speech interfaces have drawbacks, including a lack of user privacy; non-inclusivity for certain users; poor robustness i...

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Detalles Bibliográficos
Autores principales: Denby, Bruce, Csapó, Tamás Gábor, Wand, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9963607/
https://www.ncbi.nlm.nih.gov/pubmed/36850569
http://dx.doi.org/10.3390/s23041971
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author Denby, Bruce
Csapó, Tamás Gábor
Wand, Michael
author_facet Denby, Bruce
Csapó, Tamás Gábor
Wand, Michael
author_sort Denby, Bruce
collection PubMed
description Speech is the most spontaneous and natural means of communication. Speech is also becoming the preferred modality for interacting with mobile or fixed electronic devices. However, speech interfaces have drawbacks, including a lack of user privacy; non-inclusivity for certain users; poor robustness in noisy conditions; and the difficulty of creating complex man–machine interfaces. To help address these problems, the Special Issue “Future Speech Interfaces with Sensors and Machine Intelligence” assembles eleven contributions covering multimodal and silent speech interfaces; lip reading applications; novel sensors for speech interfaces; and enhanced speech inclusivity tools for future speech interfaces. Short summaries of the articles are presented, followed by an overall evaluation. The success of this Special Issue has led to its being re-issued as “Future Speech Interfaces with Sensors and Machine Intelligence-II” with a deadline in March of 2023.
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spelling pubmed-99636072023-02-26 Future Speech Interfaces with Sensors and Machine Intelligence Denby, Bruce Csapó, Tamás Gábor Wand, Michael Sensors (Basel) Editorial Speech is the most spontaneous and natural means of communication. Speech is also becoming the preferred modality for interacting with mobile or fixed electronic devices. However, speech interfaces have drawbacks, including a lack of user privacy; non-inclusivity for certain users; poor robustness in noisy conditions; and the difficulty of creating complex man–machine interfaces. To help address these problems, the Special Issue “Future Speech Interfaces with Sensors and Machine Intelligence” assembles eleven contributions covering multimodal and silent speech interfaces; lip reading applications; novel sensors for speech interfaces; and enhanced speech inclusivity tools for future speech interfaces. Short summaries of the articles are presented, followed by an overall evaluation. The success of this Special Issue has led to its being re-issued as “Future Speech Interfaces with Sensors and Machine Intelligence-II” with a deadline in March of 2023. MDPI 2023-02-10 /pmc/articles/PMC9963607/ /pubmed/36850569 http://dx.doi.org/10.3390/s23041971 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Editorial
Denby, Bruce
Csapó, Tamás Gábor
Wand, Michael
Future Speech Interfaces with Sensors and Machine Intelligence
title Future Speech Interfaces with Sensors and Machine Intelligence
title_full Future Speech Interfaces with Sensors and Machine Intelligence
title_fullStr Future Speech Interfaces with Sensors and Machine Intelligence
title_full_unstemmed Future Speech Interfaces with Sensors and Machine Intelligence
title_short Future Speech Interfaces with Sensors and Machine Intelligence
title_sort future speech interfaces with sensors and machine intelligence
topic Editorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9963607/
https://www.ncbi.nlm.nih.gov/pubmed/36850569
http://dx.doi.org/10.3390/s23041971
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