Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Mohammad Mehdi Homayounpour"'
Publikováno v:
International Journal of Information and Communication Technology Research, Vol 4, Iss 2, Pp 37-45 (2012)
In this paper a generative frontend based on both phonetic and prosodic features, and also a couple of approaches based on phonetic transcription- Aggregated Phone Recognizer followed by Language Models (APRLM) and Generalized Phone Recognizer follow
Externí odkaz:
https://doaj.org/article/e59a00c7439945beb050b666d80a62f5
Publikováno v:
International Journal of Information and Communication Technology Research, Vol 2, Iss 2, Pp 9-19 (2010)
This paper presents a set of voice activity detection (V AD) methods, that are easy to implement, robust against noise, and appropriate for real-time applications. The common characteristic is the use of a voting paradigm in all the proposed methods.
Externí odkaz:
https://doaj.org/article/17c7aee7189b4356a7c29a8794cfd800
Publikováno v:
International Journal of Information and Communication Technology Research, Vol 2, Iss 1, Pp 65-71 (2010)
The objective of this paper is to design a system to classify Persian speech acts. The driving vision for this work is to provide inteUigent systems such as text to speech, machine translation, text summarization, etc. that are sensitive to the speec
Externí odkaz:
https://doaj.org/article/fbff77a875cc46d79b952dd67ac7ac46
Publikováno v:
Language Resources and Evaluation. 57:257-291
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9d0178535a34e73c9d7e4da48c1758a
https://doi.org/10.1007/s10579-022-09620-5
https://doi.org/10.1007/s10579-022-09620-5
Publikováno v:
Neural Processing Letters.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f508405dc68547e6e01a6943d0c5e895
https://doi.org/10.1007/s11063-023-11208-1
https://doi.org/10.1007/s11063-023-11208-1
Publikováno v:
Neural Computing and Applications. 34:13201-13217
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1cc7ca923a660cffd2ca70bdcc334fc
https://doi.org/10.1007/s00521-021-06827-5
https://doi.org/10.1007/s00521-021-06827-5
Publikováno v:
Neurocomputing. 540:126182
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5235cff8d09941738684fc022d7dfe2c
https://doi.org/10.1016/j.neucom.2023.03.043
https://doi.org/10.1016/j.neucom.2023.03.043
Publikováno v:
Applied Intelligence. 51:6056-6071
The representation of words as vectors, conventionally known as word embeddings, has drawn considerable attention in recent years as feature learning techniques for natural language processing. The majority of these methods operate solely on the sema
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a16806864756409cd3336dbdf4f50f76
https://doi.org/10.1007/s10489-020-02163-8
https://doi.org/10.1007/s10489-020-02163-8
Autor:
Peyman Maghsoudi, Mehdi Bidabadi, Fei Xu, Sadegh Sadeghi, Amirreza Kaabinejadian, Mohammad Mehdi Homayounpour
Publikováno v:
Renewable Energy. 162:1618-1628
In this study, a mathematical modeling using asymptotic solution method was performed to a multi-region premixed combustion of moist moso bamboo particles under adiabatic condition. The analytical model assumes and divides the modeling system into mu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e415b9c666351602deb18fca9fdc8ec
https://doi.org/10.1016/j.renene.2020.09.093
https://doi.org/10.1016/j.renene.2020.09.093
Many endeavors have sought to develop countermeasure techniques as enhancements on Automatic Speaker Verification (ASV) systems, in order to make them more robust against spoof attacks. As evidenced by the latest ASVspoof 2019 countermeasure challeng
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b7ad14fe7b4f717f997d41209caf401
http://arxiv.org/abs/2109.02051
http://arxiv.org/abs/2109.02051
