Zobrazeno 1 - 10
of 7 188
pro vyhledávání: '"P Vijayalakshmi"'
Publikováno v:
Journal of Clinical and Diagnostic Research, Vol 17, Iss 12, Pp 06-09 (2023)
Introduction: The increased incidence of diabetes and Cardiovascular Disease (CVD) is attributed to the rising obesity rates, which is one of the major factors contributing to Insulin Resistance (IR). Although there is a close relationship between
Externí odkaz:
https://doaj.org/article/fb620c4d1dff4a82a0ce247f223ab0e9
Publikováno v:
Indian Journal of Ophthalmology, Vol 71, Iss 10, Pp 3313-3317 (2023)
Purpose: To evaluate the impact of special software training in computer and smartphone apps as a form of rehabilitation to improve the quality of life of individuals with visual impairment (VI). Methods: The study utilized a one-group pretest–post
Externí odkaz:
https://doaj.org/article/0709cb652f33470184be680c00306f62
Publikováno v:
Indian Journal of Ophthalmology, Vol 71, Iss 5, Pp 2089-2093 (2023)
Purpose: To evaluate safety profile and surgical outcomes of loop myopexy with concurrent intra-ocular lens implantation in cases of myopic strabismus fixus (MSF). Methods: A retrospective chart review of patients who underwent loop myopexy with conc
Externí odkaz:
https://doaj.org/article/574e7fbff9e5454dae06736c0d5b4089
In ideal human computer interaction (HCI), the colloquial form of a language would be preferred by most users, since it is the form used in their day-to-day conversations. However, there is also an undeniable necessity to preserve the formal literary
Externí odkaz:
http://arxiv.org/abs/2409.14348
Publikováno v:
S. J. Joysingh, P. Vijayalakshmi and T. Nagarajan, "Development of Large Annotated Music Datasets using HMM based Forced Viterbi Alignment," TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON), Kochi, India, 2019, pp. 1298-1302
Datasets are essential for any machine learning task. Automatic Music Transcription (AMT) is one such task, where considerable amount of data is required depending on the way the solution is achieved. Considering the fact that a music dataset, comple
Externí odkaz:
http://arxiv.org/abs/2408.14890
Publikováno v:
TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON), Kochi, India, 2019, pp. 1303-1306
The evolution and diversity of a language is evident from it's various dialects. If the various dialects are not addressed in technological advancements like automatic speech recognition and speech synthesis, there is a chance that these dialects may
Externí odkaz:
http://arxiv.org/abs/2408.14887
Whisper to normal speech conversion is an active area of research. Various architectures based on generative adversarial networks have been proposed in the recent past. Especially, recent study shows that MaskCycleGAN, which is a mask guided, and cyc
Externí odkaz:
http://arxiv.org/abs/2408.14797
Whispered speech as an acceptable form of human-computer interaction is gaining traction. Systems that address multiple modes of speech require a robust front-end speech classifier. Performance of whispered vs normal speech classification drops in th
Externí odkaz:
http://arxiv.org/abs/2408.14777
Publikováno v:
Joysingh, S.J., Vijayalakshmi, P. & Nagarajan, T. Quartered Spectral Envelope and 1D-CNN-Based Classification of Normally Phonated and Whispered Speech. Circuits Syst Signal Process 42, 3038-3053 (2023)
Whisper, as a form of speech, is not sufficiently addressed by mainstream speech applications. This is due to the fact that systems built for normal speech do not work as expected for whispered speech. A first step to building a speech application th
Externí odkaz:
http://arxiv.org/abs/2408.13746
Publikováno v:
Circuits Syst Signal Process 41, 4004-4027 (2022)
Culture and language evolve together. The old literary form of Tamil is used commonly for writing and the contemporary colloquial Tamil is used for speaking. Human-computer interaction applications require Colloquial Tamil (CT) to make it more access
Externí odkaz:
http://arxiv.org/abs/2408.13739