Using Complexity-Identical Human- and Machine-Directed Utterances to Investigate Addressee Detection for Spoken Dialogue Systems

Human-machine addressee detection (H-M AD) is a modern paralinguistics and dialogue challenge that arises in multiparty conversations between several people and a spoken dialogue system (SDS) since the users may also talk to each other and even to themselves while interacting with the system. The SD...

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Detalles Bibliográficos
Autores principales: Akhtiamov, Oleg, Siegert, Ingo, Karpov, Alexey, Minker, Wolfgang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7249173/
https://www.ncbi.nlm.nih.gov/pubmed/32403365
http://dx.doi.org/10.3390/s20092740

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7249173/
https://www.ncbi.nlm.nih.gov/pubmed/32403365
http://dx.doi.org/10.3390/s20092740

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