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Future Speech Interfaces with Sensors and Machine Intelligence.
Denby, Bruce; Csapó, Tamás Gábor; Wand, Michael.
Afiliación
  • Denby B; Institut Langevin, ESPCI Paris, PSL University, CNRS, Sorbonne Université, 75005 Paris, France.
  • Csapó TG; Department of Telecommunications and Media Informatics, Budapest University of Technology and Economics, 1117 Budapest, Hungary.
  • Wand M; Dalle Molle Institute for Artificial Intelligence USI-SUPSI, 6962 Viganello, Switzerland.
Sensors (Basel) ; 23(4)2023 Feb 10.
Article en En | MEDLINE | ID: mdl-36850569
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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Habla / Comunicación Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Francia Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Habla / Comunicación Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Francia Pais de publicación: Suiza