Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Wei-Bin Liang"'
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2017, Iss 1, Pp 1-17 (2017)
Abstract With the exponential growth in computing power and progress in speech recognition technology, spoken dialog systems (SDSs) with which a user interacts through natural speech has been widely used in human-computer interaction. However, error-
Externí odkaz:
https://doaj.org/article/d47c3482a66d4b2d93a1f856f0c6b1c0
Publikováno v:
DEStech Transactions on Computer Science and Engineering.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c99dd1b099b51555ab5ebaac4ee51f3
https://doi.org/10.12783/dtcse/cscme2019/32545
https://doi.org/10.12783/dtcse/cscme2019/32545
Publikováno v:
ICCE-TW
This paper invested an intelligent production-distribution system with fish category detection and traceability management. The proposed system integrated three modules, production-distribution system, fish category detection, and traceability manage
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bdf5932162f2d29b8831eb95ff244dd9
https://doi.org/10.1109/icce-tw46550.2019.8991848
https://doi.org/10.1109/icce-tw46550.2019.8991848
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2017, Iss 1, Pp 1-17 (2017)
With the exponential growth in computing power and progress in speech recognition technology, spoken dialog systems (SDSs) with which a user interacts through natural speech has been widely used in human-computer interaction. However, error-prone aut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d105822fad011291e86cd580329c81b2
https://doi.org/10.1186/s13636-017-0107-3
https://doi.org/10.1186/s13636-017-0107-3
Publikováno v:
ICASSP
We propose to use orthogonal feature detectors in artificial neural networks for the robustness of performance under noisy conditions. The motivation is grounded on the principle that orthogonal decomposition is the most efficient among all represent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1640ace7408e47882d4249b6ec4f0146
https://doi.org/10.1109/icassp.2016.7472098
https://doi.org/10.1109/icassp.2016.7472098
Publikováno v:
ACM Transactions on Asian Language Information Processing. 10:1-21
This article presents a probabilistic scheme for detecting the interruption point (IP) in spontaneous speech based on inter-syllable boundary-based prosodic features. Because of the high error rate in spontaneous speech recognition, a combined acoust
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e93d605af9fac2901bfd6e1201725cf
https://doi.org/10.1145/1929908.1929914
https://doi.org/10.1145/1929908.1929914
Publikováno v:
ACII
This paper presents an approach to hierarchical modeling of temporal course in emotional expression for speech emotion recognition. In the proposed approach, a segmentation algorithm is employed to hierarchically chunk an input utterance into three-l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89944de19844d2e3dc8546dfca992c8e
https://doi.org/10.1109/acii.2015.7344666
https://doi.org/10.1109/acii.2015.7344666
Autor:
Chung-Hsien Wu, Wei-Bin Liang
Publikováno v:
ACII
This work presents an approach to emotion recognition of affective speech based on multiple classifiers using acoustic-prosodic information (AP) and semantic labels (SLs). For AP-based recognition, acoustic and prosodic features are extracted from th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4766b89685ee1891b1ff8daf36d6dc25
https://doi.org/10.1109/acii.2015.7344613
https://doi.org/10.1109/acii.2015.7344613
Publikováno v:
APSIPA
An emoticon is a metacommunicative pictorial representation which is widely used in text-based online communication such as Plurk and Facebook to convey the user's emotions. However, these social networks still lack a mechanism to provide appropriate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60725263cb94c096b8441e4b33f3d0b1
https://doi.org/10.1109/apsipa.2014.7041632
https://doi.org/10.1109/apsipa.2014.7041632
Publikováno v:
APSIPA
This paper presents an approach to affective-cognitive dialogue act detection in a spoken dialogue. To achieve this goal, the input utterance is decoded as the affective state by an emotion recognizer and a word sequence by an imperfect speech recogn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8158de91f3a59365c59613698d57276e
https://doi.org/10.1109/apsipa.2013.6694233
https://doi.org/10.1109/apsipa.2013.6694233