Modeling Spoken Information Queries for Virtual Assistants: Open Problems, Challenges and Opportunities

Autor:	Van Gysel, Christophe
Rok vydání:	2023
Předmět:	Computer Science - Information Retrieval Computer Science - Computation and Language
Druh dokumentu:	Working Paper
DOI:	10.1145/3539618.3591849
Popis:	Virtual assistants are becoming increasingly important speech-driven Information Retrieval platforms that assist users with various tasks. We discuss open problems and challenges with respect to modeling spoken information queries for virtual assistants, and list opportunities where Information Retrieval methods and research can be applied to improve the quality of virtual assistant speech recognition. We discuss how query domain classification, knowledge graphs and user interaction data, and query personalization can be helpful to improve the accurate recognition of spoken information domain queries. Finally, we also provide a brief overview of current problems and challenges in speech recognition. Comment: SIGIR '23. The 46th International ACM SIGIR Conference on Research & Development in Information Retrieval
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2304.13149 Zobrazit plný text záznamu View this record from Arxiv