2 resultados para Symbolic dialogue
em National Center for Biotechnology Information - NCBI
Filtro por publicador
- KUPS-Datenbank - Universität zu Köln - Kölner UniversitätsPublikationsServer (1)
- Repository Napier (1)
- Aberdeen University (2)
- Abertay Research Collections - Abertay University’s repository (1)
- Aberystwyth University Repository - Reino Unido (6)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (2)
- Adam Mickiewicz University Repository (2)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (7)
- Andina Digital - Repositorio UASB-Digital - Universidade Andina Simón Bolívar (3)
- Aquatic Commons (4)
- Archive of European Integration (60)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (1)
- Aston University Research Archive (13)
- Biblioteca de Teses e Dissertações da USP (1)
- Biblioteca Digital | Sistema Integrado de Documentación | UNCuyo - UNCUYO. UNIVERSIDAD NACIONAL DE CUYO. (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (2)
- Biblioteca Digital de la Universidad Católica Argentina (2)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (7)
- Bibloteca do Senado Federal do Brasil (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (53)
- Boston College Law School, Boston College (BC), United States (1)
- Boston University Digital Common (1)
- Brock University, Canada (2)
- Bucknell University Digital Commons - Pensilvania - USA (4)
- Bulgarian Digital Mathematics Library at IMI-BAS (7)
- Cambridge University Engineering Department Publications Database (48)
- CentAUR: Central Archive University of Reading - UK (38)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (4)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (14)
- CORA - Cork Open Research Archive - University College Cork - Ireland (2)
- CUNY Academic Works (2)
- Dalarna University College Electronic Archive (5)
- Department of Computer Science E-Repository - King's College London, Strand, London (16)
- Digital Archives@Colby (2)
- Digital Commons @ DU | University of Denver Research (3)
- Digital Commons at Florida International University (65)
- Digital Peer Publishing (2)
- DigitalCommons@The Texas Medical Center (1)
- DigitalCommons@University of Nebraska - Lincoln (2)
- Digitale Sammlungen - Goethe-Universität Frankfurt am Main (1)
- DRUM (Digital Repository at the University of Maryland) (1)
- Funes: Repositorio digital de documentos en Educación Matemática - Colombia (2)
- Gallica, Bibliotheque Numerique - Bibliothèque nationale de France (French National Library) (BnF), France (118)
- Glasgow Theses Service (3)
- Greenwich Academic Literature Archive - UK (4)
- Harvard University (2)
- Helda - Digital Repository of University of Helsinki (5)
- Indian Institute of Science - Bangalore - Índia (3)
- Instituto Politécnico de Viseu (1)
- Instituto Politécnico do Porto, Portugal (1)
- Massachusetts Institute of Technology (5)
- Memoria Académica - FaHCE, UNLP - Argentina (5)
- Ministerio de Cultura, Spain (5)
- National Center for Biotechnology Information - NCBI (2)
- Nottingham eTheses (1)
- Portal de Revistas Científicas Complutenses - Espanha (3)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (70)
- Queensland University of Technology - ePrints Archive (40)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (1)
- Repositorio Académico de la Universidad Nacional de Costa Rica (1)
- Repositório Científico da Universidade de Évora - Portugal (4)
- Repositório digital da Fundação Getúlio Vargas - FGV (1)
- Repositório Digital da Universidade Municipal de São Caetano do Sul - USCS (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (1)
- Repositório Institucional da Universidade Federal do Rio Grande do Norte (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (17)
- Research Open Access Repository of the University of East London. (2)
- Savoirs UdeS : plateforme de diffusion de la production intellectuelle de l’Université de Sherbrooke - Canada (1)
- School of Medicine, Washington University, United States (3)
- Scientific Open-access Literature Archive and Repository (1)
- The Scholarly Commons | School of Hotel Administration; Cornell University Research (1)
- Universidad de Alicante (5)
- Universidad del Rosario, Colombia (5)
- Universidad Politécnica de Madrid (13)
- Universidade de Lisboa - Repositório Aberto (1)
- Universidade Federal de Uberlândia (1)
- Universidade Federal do Pará (2)
- Universidade Federal do Rio Grande do Norte (UFRN) (7)
- Universidade Metodista de São Paulo (15)
- Universidade Técnica de Lisboa (1)
- Universita di Parma (1)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (1)
- Université de Lausanne, Switzerland (2)
- Université de Montréal (3)
- Université de Montréal, Canada (40)
- University of Canberra Research Repository - Australia (1)
- University of Connecticut - USA (1)
- University of Michigan (76)
- University of Queensland eSpace - Australia (19)
- University of Washington (1)
- WestminsterResearch - UK (1)
Resumo:
The deployment of systems for human-to-machine communication by voice requires overcoming a variety of obstacles that affect the speech-processing technologies. Problems encountered in the field might include variation in speaking style, acoustic noise, ambiguity of language, or confusion on the part of the speaker. The diversity of these practical problems encountered in the "real world" leads to the perceived gap between laboratory and "real-world" performance. To answer the question "What applications can speech technology support today?" the concept of the "degree of difficulty" of an application is introduced. The degree of difficulty depends not only on the demands placed on the speech recognition and speech synthesis technologies but also on the expectations of the user of the system. Experience has shown that deployment of effective speech communication systems requires an iterative process. This paper discusses general deployment principles, which are illustrated by several examples of human-machine communication systems.