Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Sushanta Kabir Dutta"'
Comparison of Khasi speech representations with different spectral features and hidden Markov states
Publikováno v:
Journal of Electronic Science and Technology, Vol 19, Iss 2, Pp 100079- (2021)
In this paper, we present a comparison of the Khasi speech representations with four different spectral features and novel extension towards the development of Khasi speech corpora. These four features include linear predictive coding (LPC), linear p
Externí odkaz:
https://doaj.org/article/d2df9d577be346c6a1415bc960bcaf9d
Publikováno v:
Microsystem Technologies. 28:903-911
In this paper, two automatic language identification (LID) systems are compared. One of the systems is the Hidden Markov Model (HMM) based phonetic engine (PE), and the other is the Gaussian Mixture Model based Universal Background Model (GMM–UBM)
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9789811642432
Lecture Notes in Networks and Systems
Lecture Notes in Networks and Systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a976b5e064bf49020d3ad28a26223b96
https://doi.org/10.1007/978-981-16-4244-9_19
https://doi.org/10.1007/978-981-16-4244-9_19
Publikováno v:
Biomedical Signal Processing and Control. 78:104005
Publikováno v:
Proceedings of the International Conference on Computing and Communication Systems ISBN: 9789813340831
Efficient methodology for monitoring the condition of road is essential for the road departments and public safety. Advancements in computer vision technology and machine learning techniques present the possibilities of providing accurate information
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af45c586224406d4bf239322555f292a
https://doi.org/10.1007/978-981-33-4084-8_25
https://doi.org/10.1007/978-981-33-4084-8_25
Publikováno v:
Indian Journal of Science and Technology. 10:1-5
Objective: Phones are basic sound units available in the spoken data. Languages differ among themselves due to use of different phone sets. This paper analyzes some aspects of automatic phone recognition and subsequent identification of a few languag
Comparison of Khasi speech representations with different spectral features and hidden Markov states
Publikováno v:
Journal of Electronic Science and Technology. 19:100079
In this paper, we present a comparison of Khasi speech representations with four different spectral features and novel extension towards the development of Khasi speech corpora. These four features include linear predictive coding (LPC), linear predi
Publikováno v:
Advances in Communication, Devices and Networking ISBN: 9789811079009
This paper describes a study on prosodic feature-based automatic language classification system for four Indian languages from Northeastern India. However, the number of languages may be increased. The present system can classify the selected Indian
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b0fc960819afc316637bcd744c12ef4
https://doi.org/10.1007/978-981-10-7901-6_63
https://doi.org/10.1007/978-981-10-7901-6_63
Publikováno v:
Proceedings of the International Conference on Computing and Communication Systems ISBN: 9789811068898
The introduction of a phonetic engine in the literature is that it is a system which transforms a speech signal into some symbolic form. Phone recognition is a primary task of a PE. Among the various other applications of PE, one very useful applicat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::361e9bfbdb2618e73cea70e7671e2e5e
https://doi.org/10.1007/978-981-10-6890-4_28
https://doi.org/10.1007/978-981-10-6890-4_28
Publikováno v:
Advances in Communication, Devices and Networking ISBN: 9789811079009
In this paper, a Ku-band bandpass filter with wide upper stopband characteristics is presented. The bandpass filter is implemented with a stub-loaded resonator (SLR). The resonator is designed to incorporate two resonating modes in the passband. Due
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82d2a9a73c3e581efbec28523be1aa87
https://doi.org/10.1007/978-981-10-7901-6_20
https://doi.org/10.1007/978-981-10-7901-6_20