Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Astik Biswas"'
Publikováno v:
Ain Shams Engineering Journal, Vol 5, Iss 4, Pp 1189-1198 (2014)
To deal with non-stationary and quasi-stationary signals, wavelet transform has been used as an effective tool for the time-frequency analysis. In the recent years, wavelet transform has been used extensively for feature extraction in noisy speech re
Externí odkaz:
https://doaj.org/article/fcda9a00ade74373add712ebf5e6df6b
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 17, Iss 3, Pp 145-151 (2014)
In recent years wavelet transform has been found to be an effective tool for time–frequency analysis. Wavelet transform has been used as feature extraction in speech recognition applications and it has proved to be an effective technique for unvoic
Externí odkaz:
https://doaj.org/article/f6894dc006ce4342a46fa7643d906ffb
Publikováno v:
Pattern Analysis and Applications. 23:527-539
Wavelet-based front-end processing technique has gained popularity for its noise removing capability. In this paper, a robust automatic speech recognition system is proposed by utilizing the advantages of psycho-acoustically motivated wavelet-based f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::edc53debe6b3d2fe73d11bc11a738013
https://doi.org/10.1007/s10044-019-00816-0
https://doi.org/10.1007/s10044-019-00816-0
Publikováno v:
Computer Speech & Language. 71:101262
Most automatic speech recognition (ASR) systems are optimised for one specific language and their performance consequently deteriorates drastically when confronted with multilingual or code-switched speech. We describe our efforts to improve an ASR s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50648431b828562f30323a0c3c43d3ee
https://doi.org/10.1016/j.csl.2021.101262
https://doi.org/10.1016/j.csl.2021.101262
The Department of Electronics and Communication Engineering of KIET Group of Institutions, Delhi-NCR organized the 4th International Conference ICCE-2020 during November 28-29, 2020. Information compiled in this book is based on the 114 research pape
Publikováno v:
International Journal of Speech Technology. 20:813-827
In recent past, wavelet packet (WP) based speech enhancement techniques have been gaining popularity due to their inherent nature of noise minimization. WP based techniques appeared as more robust and efficient than short-time Fourier transform based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db662f642ed81c110134bac2d1e4c767
https://doi.org/10.1007/s10772-017-9448-7
https://doi.org/10.1007/s10772-017-9448-7
Publikováno v:
INTERSPEECH
We present improvements in automatic speech recognition (ASR) for Somali, a currently extremely under-resourced language. This forms part of a continuing United Nations (UN) effort to employ ASR-based keyword spotting systems to support humanitarian
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db3b4ad1f7ea2dd8e1c154358af62a7e
https://doi.org/10.21437/interspeech.2019-1328
https://doi.org/10.21437/interspeech.2019-1328
Publikováno v:
INTERSPEECH
This paper presents recent progress in the acoustic modelling of under-resourced code-switched (CS) speech in multiple South African languages. We consider two approaches. The first constructs separate bilingual acoustic models corresponding to langu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffe9629ef5d672df47b28219d8891f48
Publikováno v:
Applied Acoustics. 176:107864
Language identification (LID) is identifying a language in a given spoken utterance. Language segmentation is equally important as language identification where language boundaries can be spotted in a multi-language utterance. Language identification
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9f75626983cdac6be8dcab7309aeff0
https://doi.org/10.1016/j.apacoust.2020.107864
https://doi.org/10.1016/j.apacoust.2020.107864