Zobrazeno 1 - 10
of 236
pro vyhledávání: '"Wai-Yip Chan"'
Publikováno v:
Frontiers in Psychiatry, Vol 14 (2023)
IntroductionTo assist mental health care providers with the assessment of depression, research to develop a standardized, accessible, and non-invasive technique has garnered considerable attention. Our study focuses on the application of deep learnin
Externí odkaz:
https://doaj.org/article/425a014700bd4b1784a106d668cd82fc
Publikováno v:
IEEE Access, Vol 5, Pp 17031-17044 (2017)
While random linear network coding is known to improve network reliability and throughput, its high costs for delivering coding coefficients and decoding represent an obstacle where nodes have limited power to transmit and decode packets. In this pap
Externí odkaz:
https://doaj.org/article/27bc15acb79a460b933b211b7dba2a76
Autor:
Tiago H. Falk, Wai-Yip Chan
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2009 (2009)
Wireless-VoIP communications introduce perceptual degradations that are not present with traditional VoIP communications. This paper investigates the effects of such degradations on the performance of three state-of-the-art standard objective quality
Externí odkaz:
https://doaj.org/article/decbd7a116094f03ada55a2c32594e79
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2007 (2007)
We investigate a power line communications (PLC) scheme that could be used to enhance the HomePlug 1.0 standard, specifically its ROBO mode which provides modest throughput for the worst case PLC channel. The scheme is based on using a low-density pa
Externí odkaz:
https://doaj.org/article/ef3db44130754ff6872a46cf466d1ed9
Publikováno v:
Espejo, I L, Edraki, A, Chan, W-Y, Tan, Z-H & Jensen, J 2023, ' On the Deficiency of Intelligibility Metrics as Proxies for Subjective Intelligibility ', Speech Communication .
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::868650b83d0f796cfef5ca8b51b4b1ed
https://vbn.aau.dk/da/publications/0590a118-94da-47fd-885c-33ba79d75f3d
https://vbn.aau.dk/da/publications/0590a118-94da-47fd-885c-33ba79d75f3d
Autor:
James Sanii, Wai Yip Chan
Publikováno v:
2022 9th International Conference on Soft Computing & Machine Intelligence (ISCMI).
Publikováno v:
JASA Express Letters. 3:035207
Many existing speech intelligibility prediction (SIP) algorithms can only account for acoustic factors affecting speech intelligibility and cannot predict intelligibility across corpora with different linguistic predictability. To address this, a lin
Publikováno v:
J Acoust Soc Am
Individual acoustic parameters of reverberation have the potential to affect both the intelligibility of speech and the degree of perceived reverberation. The current experiments used monaural acoustic simulations to investigate the effect of reverbe
Publikováno v:
2021 55th Asilomar Conference on Signals, Systems, and Computers.
Publikováno v:
Edraki, A, Chan, W Y, Jensen, J & Fogerty, D 2022, ' Spectro-temporal modulation glimpsing for speech intelligibility prediction ', Hearing Research, vol. 426, 108620 . https://doi.org/10.1016/j.heares.2022.108620
We compare two alternative speech intelligibility prediction algorithms: time-frequency glimpse proportion (GP) and spectro-temporal glimpsing index (STGI). Both algorithms hypothesize that listeners understand speech in challenging acoustic environm