Zobrazeno 1 - 10
of 20
pro vyhledávání: '"VEENA KARJIGI"'
Publikováno v:
2022 IEEE Pune Section International Conference (PuneCon).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76a64ece86b85fea76ae5ee65ff376ab
https://doi.org/10.1109/punecon55413.2022.10014898
https://doi.org/10.1109/punecon55413.2022.10014898
Publikováno v:
2022 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97d3482438e6cc4aad8bf74688d3d9bf
https://doi.org/10.1109/wispnet54241.2022.9767182
https://doi.org/10.1109/wispnet54241.2022.9767182
Autor:
G. Diwakar, Veena Karjigi
Publikováno v:
Circuits, Systems, and Signal Processing. 39:5543-5567
Alignment of transcription to the speech finds applications in video subtitling, human–computer interaction by means of natural language communication, etc. In spite of many advancements, alignment of transcription to speech remains a challenging t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85bccc7fd519bf853189ccfb832e374c
https://doi.org/10.1007/s00034-020-01419-5
https://doi.org/10.1007/s00034-020-01419-5
Publikováno v:
IEEE Journal of Selected Topics in Signal Processing. 14:390-399
Recently, spectro-temporal representation of speech has been used in many fields of speech processing. Owing to this, we explore the use of spectro-temporal representation for speech intelligibility assessment especially for dysarthric speech. In thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5096d9493dfdd0c982e0274a2a5e7ea8
https://doi.org/10.1109/jstsp.2019.2949912
https://doi.org/10.1109/jstsp.2019.2949912
Publikováno v:
Speech and Computer ISBN: 9783031209796
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b0362be6216f4e9326e2c3a36f64c0e
https://doi.org/10.1007/978-3-031-20980-2_46
https://doi.org/10.1007/978-3-031-20980-2_46
Publikováno v:
Computer Speech & Language. 77:101411
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fcee896a17fa1e36eebc39d134376baa
https://doi.org/10.1016/j.csl.2022.101411
https://doi.org/10.1016/j.csl.2022.101411
Publikováno v:
2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS).
The intelligibility assessment of dysarthric speech is essential for planning therapy. Time-frequency representations have been used for automatic intelligibility assessment of dysarthria. These representations have been derived from the utterance as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab27034bf45942e48617d3c0662aa974
https://doi.org/10.1109/icccis51004.2021.9397192
https://doi.org/10.1109/icccis51004.2021.9397192
Publikováno v:
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. 28(12)
Speech disorders linked to neurological problems affect person’s ability to communicate through speech. Dysarthria is one of the speech disorders caused due to muscle weakness producing slow, slurred and less intelligible speech. Automatic intellig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a2f6f4cc7b57b26af98bea388e5593b
https://pubmed.ncbi.nlm.nih.gov/33141673
https://pubmed.ncbi.nlm.nih.gov/33141673
Publikováno v:
2019 4th International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques (ICEECCOT).
Speech communication is the fundamental of an individual's participation in society. But this type of communicating medium is often disrupted by various types of physical disorder. Dysarthria is one such disorder that encapsulates various neuro-motor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a17f9466eab56bd45c9fe7c71b093cd3
https://doi.org/10.1109/iceeccot46775.2019.9114558
https://doi.org/10.1109/iceeccot46775.2019.9114558
Publikováno v:
2019 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET).
Dysarthria classification based on intelligibility level is useful for speech pathologists for deciding the therapy. However, intelligibility assessment also depends on perceptual attributes like hypernasality, breathiness, slow rate, short pauses et
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97ab8472eba55bfa827b95211f70ecc9
https://doi.org/10.1109/wispnet45539.2019.9032852
https://doi.org/10.1109/wispnet45539.2019.9032852