Zobrazeno 1 - 10
of 34
pro vyhledávání: '"K, Mohanaprasad"'
Autor:
R, Aron, Sigicharla, Indra, Periwal, Chirag, K, Mohanaprasad, S, Nithya Darisini P, Tiwari, Sourabh, Arora, Shivani
The interpretation of human voices holds importance across various applications. This study ventures into predicting age, gender, and emotion from vocal cues, a field with vast applications. Voice analysis tech advancements span domains, from improvi
Externí odkaz:
http://arxiv.org/abs/2403.00887
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Circuits, Systems, and Signal Processing. 41:3570-3591
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ab1137dcac30fc106955e4f6532ce0e
https://doi.org/10.1007/s00034-022-01956-1
https://doi.org/10.1007/s00034-022-01956-1
Autor:
K. Mohanaprasad, Kishor B. Bhangale
Publikováno v:
International Journal of Speech Technology. 24:367-388
Speech processing plays a crucial role in many signal processing applications, while the last decade has bought gigantic evolution based on machine learning prototype. Speech processing has a close relationship with computer linguistics, human–mach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab6643e249dd88cf6d0af1f75b169247
https://doi.org/10.1007/s10772-021-09808-0
https://doi.org/10.1007/s10772-021-09808-0
Publikováno v:
IEEE Sensors Journal. 20:10021-10031
This paper describes the implementation of an adaptive ICA (Independent Component Analysis) based cross-correlation technique to process the noisy output from Acoustic optic sensor to locate the leaks in water pipes. In Digital Signal Processing meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::342000c52038930b8ff66058907db803
https://doi.org/10.1109/jsen.2020.2991639
https://doi.org/10.1109/jsen.2020.2991639
Speech Emotion Recognition Using Mel Frequency Log Spectrogram and Deep Convolutional Neural Network
Autor:
K. Mohanaprasad, Kishor B. Bhangale
Publikováno v:
Futuristic Communication and Network Technologies ISBN: 9789811646249
In recent years, speech emotion recognition (SER) has engrossed more attention in speech processing because of its potential in various speech-based intelligent systems. In deep learning algorithms to capture discriminative features of the audio emot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::659579f5414f97876dfcf6e8a6857207
https://doi.org/10.1007/978-981-16-4625-6_24
https://doi.org/10.1007/978-981-16-4625-6_24
Publikováno v:
Futuristic Communication and Network Technologies ISBN: 9789811646249
Road conditions play an important role in our everyday commute. With the proliferating number of vehicles on the road each year, it has become necessary to access the road conditions very frequently, and this would ensure that the traffic also flows
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe7e60dd9077aebbc8847fe281d7e137
https://doi.org/10.1007/978-981-16-4625-6_47
https://doi.org/10.1007/978-981-16-4625-6_47
Publikováno v:
International Journal of Speech Technology. 22:169-177
This paper aims to remove the noise presents in speech signals during communication in all hands-free devices like mobile phone, video conferencing, teleconferencing conferencing etc. The existing noise reduction algorithms like an adaptive filter, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6de971e8acc1d4342e4cd3e618f0bd5
https://doi.org/10.1007/s10772-019-09595-9
https://doi.org/10.1007/s10772-019-09595-9
Publikováno v:
Journal of Pipeline Systems Engineering and Practice. 11
The leak localization in a water pipeline system plays a vital role in pipeline system modeling. The leak location is identified by estimating the time difference between two sensor signals...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7ec402ffc5cc7f238817dd2741c9e48
https://doi.org/10.1061/(asce)ps.1949-1204.0000471
https://doi.org/10.1061/(asce)ps.1949-1204.0000471
Publikováno v:
International Journal of Intelligent Engineering and Systems. 10:231-238
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e460151a24270c032b085e7ed2b04d4
https://doi.org/10.22266/ijies2017.1031.25
https://doi.org/10.22266/ijies2017.1031.25