Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Ivan Kukanov"'
Publikováno v:
AsianCHI@CHI
The paper is a work in progress report on the development of DigiMo, a chatbot with emotional intelligence. The chatbot development is based on a data collection and annotations of real dialogues between local Singaporeans expressing genuine emotions
Publikováno v:
INTERSPEECH
Publikováno v:
ICASSP
This work tackles the problem of the domestic audio tagging or environmental sound classification, where one audio recording can contain one or more acoustic events and a recognizer should output all of those tags. A baseline model for this task is a
Publikováno v:
SLT
In this work, we are interested in boosting speech attribute detection by formulating it as a multi-label classification task, and deep neural networks (DNNs) are used to design speech attribute detectors. A straightforward way to tackle the speech a
Autor:
Ville Hautamäki, Eng Siong Chng, Haizhou Li, Guangsen Wang, Kong Aik Lee, Amir Hossein Poorjam, Chenglin Xu, Trung Ngo Trong, Ivan Kukanov, Sylvain Meignier, Hanwu Sun, Jianshu Chen, Haihua Xu, Xiong Xiao, Li Deng, Wei Rao, Aleksandr Sizov, Anthony Larcher, Bin Ma, Trung Hieu Nguyen
Publikováno v:
INTERSPEECH
The series of language recognition evaluations (LRE's) conducted by the National Institute of Standards and Technology (NIST) have been one of the driving forces in advancing spoken language recognition technology. This paper presents a shared view o
Autor:
Héctor Delgado, Massimiliano Todisco, Achintya Kumar Sarkar, Sahidullah, Zheng-Hua Tan, Ivan Kukanov, Nicolai Bæk Thomsen, Tomi Kinnunen, Nicholas Evans, Ville Hautamäki
Publikováno v:
Kinnunen, T, Sahidullah, M, Kukanov, I, Delgado, H, Todisco, M, Sarkar, A K, Thomsen, N B, Hautamaki, V, Evans, N & Tan, Z-H 2016, Utterance Verification for Text-Dependent Speaker Recognition : A Comparative Assessment Using the RedDots Corpus . in Proceedings Interspeech 2016 . ISCA, INTERSPEECH, Interspeech 2016, San Francisco, CA, United States, 08/09/2016 . https://doi.org/10.21437/Interspeech.2016-1125
Interspeech 2016
INTERSPEECH
Interspeech 2016
INTERSPEECH
Text-dependent automatic speaker verification naturally calls for the simultaneous verification of speaker identity and spoken content. These two tasks can be achieved with automatic speaker verification (ASV) and utterance verification (UV) technolo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58d8314677b08b021a65d6d4573a9a56
https://vbn.aau.dk/da/publications/a2679a5b-edef-4796-93ab-e72564b6c7c0
https://vbn.aau.dk/da/publications/a2679a5b-edef-4796-93ab-e72564b6c7c0
Autor:
Ivan Kukanov, Sabato Marco Siniscalchi, Valerio Mario Salerno, Hamid Behravan, Ville Hautamäki
Publikováno v:
Scopus-Elsevier
INTERSPEECH
INTERSPEECH
We have recently proposed a universal acoustic characterisation to foreign accent recognition, in which any spoken foreign accent was described in terms of a common set of fundamental speech attributes. Although experimental evidence demonstrated the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::817336ab1005cf5220a332c23da4f107
http://www.scopus.com/inward/record.url?eid=2-s2.0-84959074776&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-84959074776&partnerID=MN8TOARS