Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Hatim Khouzaimi"'
Publikováno v:
Computer Speech & Language. 47:93-111
This article introduces a new methodology to enhance an existing traditional Spoken Dialogue System (SDS) with optimal turn-taking capabilities in order to increase dialogue efficiency. A new approach for transforming the traditional dialogue archite
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811025846
IWSDS
IWSDS
This chapter introduces a simulator for incremental human-machine dialogue in order to generate artificial dialogue datasets that can be used to train and test data-driven methods. We review the various simulator components in detail, including an un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4208e6285f13d7be6f3426d6b7cfe15f
https://doi.org/10.1007/978-981-10-2585-3_4
https://doi.org/10.1007/978-981-10-2585-3_4
Publikováno v:
SIGDIAL Conference
In this paper, reinforcement learning (RL) is used to learn an efficient turn-taking management model in a simulated slotfilling task with the objective of minimising the dialogue duration and maximising the completion task ratio. Turn-taking decisio
Publikováno v:
EMNLP
In this paper, a turn-taking phenomenon taxonomy is introduced, organised according to the level of information conveyed. It is aimed to provide a better grasp of the behaviours used by humans while talking to each other, so that they can be methodic
Publikováno v:
Communications in Computer and Information Science ISBN: 9783319213798
HCI (27)
HCI (27)
We use a simulated environment for incremental dialogue to show that incremental processing offers new possibilities to make dialogue systems more robust to noise. Traditional dialogue systems wait until the end of the user’s utterance before proce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25c0112a7afb5a686f2e75705bc79b16
https://doi.org/10.1007/978-3-319-21380-4_127
https://doi.org/10.1007/978-3-319-21380-4_127
Publikováno v:
39th International Conference on Acoustics, Speech and Signal Processing (ICASSP2014)
39th International Conference on Acoustics, Speech and Signal Processing (ICASSP2014), May 2014, Florence, Italy. pp.3221-3225, ⟨10.1109/ICASSP.2014.6854195⟩
ICASSP
39th International Conference on Acoustics, Speech and Signal Processing (ICASSP2014), May 2014, Florence, Italy. pp.3221-3225, ⟨10.1109/ICASSP.2014.6854195⟩
ICASSP
International audience; The automatic prediction of the quality of a dialogue is useful tokeep track of a spoken dialogue system’s performance and, if necessary,adapt its behaviour. Classifiers and regression models havebeen suggested to make this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41b648ea5c983fba44b550481986ab1d
https://hal.inria.fr/hal-01107499
https://hal.inria.fr/hal-01107499
Publikováno v:
SIGDIAL Conference
Incrementality as a way of managing the interactions between a dialogue system and its users has been shown to have concrete advantages over the traditional turn-taking frame. Incremental systems are more reactive, more human-like, offer a better use