End-to-End Transformer-Based Open-Vocabulary Keyword Spotting with Location-Guided Local Attention

التفاصيل البيبلوغرافية
العنوان: End-to-End Transformer-Based Open-Vocabulary Keyword Spotting with Location-Guided Local Attention
المؤلفون: Bo Wei, Jaeyun Lee, Kyuhong Kim, Park Sungun, Xiao Tang, Xing Huang, Tao Zhang, Kiho Cho, Meirong Yang
المصدر: Interspeech 2021.
بيانات النشر: ISCA, 2021.
سنة النشر: 2021
مصطلحات موضوعية: Vocabulary, End-to-end principle, business.industry, Computer science, Keyword spotting, media_common.quotation_subject, Artificial intelligence, business, computer.software_genre, computer, Natural language processing, Transformer (machine learning model), media_common
DOI: 10.21437/interspeech.2021-1335
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::60aff6c01ca6033f39d3da756c9bdc39
https://doi.org/10.21437/interspeech.2021-1335
رقم الانضمام: edsair.doi...........60aff6c01ca6033f39d3da756c9bdc39
قاعدة البيانات: OpenAIRE
الوصف
DOI:10.21437/interspeech.2021-1335