Zobrazeno 1 - 10
of 4 528
pro vyhledávání: '"Sudarsana"'
Autor:
Vangipuram, Radhakrishna1 (AUTHOR) radhakrishna_v@vnrvjiet.in, Kumar, P. V.2 (AUTHOR), Janaki, Vinjamuri3 (AUTHOR), Aljawarneh, Shadi. A.4 (AUTHOR), Lara, Juan A.5 (AUTHOR), Khatatneh, Khalaf6 (AUTHOR)
Publikováno v:
Foundations of Science. Dec2020, Vol. 25 Issue 4, p1027-1048. 22p. 1 Chart, 13 Graphs.
Objectives: ncreased prevalence of social creak particularly among female speakers has been reported in several studies. The study of social creak has been previously conducted by combining perceptual evaluation of speech with conventional acoustical
Externí odkaz:
http://arxiv.org/abs/2410.17028
Autor:
Ashvin, Aditya, Lahiri, Rimita, Kommineni, Aditya, Bishop, Somer, Lord, Catherine, Kadiri, Sudarsana Reddy, Narayanan, Shrikanth
The ability to reliably transcribe child-adult conversations in a clinical setting is valuable for diagnosis and understanding of numerous developmental disorders such as Autism Spectrum Disorder. Recent advances in deep learning architectures and av
Externí odkaz:
http://arxiv.org/abs/2409.16135
Autor:
Kommineni, Aditya, Bose, Digbalay, Feng, Tiantian, Kim, So Hyun, Tager-Flusberg, Helen, Bishop, Somer, Lord, Catherine, Kadiri, Sudarsana, Narayanan, Shrikanth
Clinical videos in the context of Autism Spectrum Disorder are often long-form interactions between children and caregivers/clinical professionals, encompassing complex verbal and non-verbal behaviors. Objective analyses of these videos could provide
Externí odkaz:
http://arxiv.org/abs/2409.13606
Stuttering is a common speech impediment that is caused by irregular disruptions in speech production, affecting over 70 million people across the world. Standard automatic speech processing tools do not take speech ailments into account and are ther
Externí odkaz:
http://arxiv.org/abs/2407.11492
This study investigates a novel phenomenon of lift generation around a sphere by pneumatically manipulating its surface topology with an asymmetric roughness distribution. A comprehensive series of systematic experiments were conducted for Reynolds n
Externí odkaz:
http://arxiv.org/abs/2407.01748
Autor:
Lee, Jihwan, Kommineni, Aditya, Feng, Tiantian, Avramidis, Kleanthis, Shi, Xuan, Kadiri, Sudarsana, Narayanan, Shrikanth
Speech decoding from EEG signals is a challenging task, where brain activity is modeled to estimate salient characteristics of acoustic stimuli. We propose FESDE, a novel framework for Fully-End-to-end Speech Decoding from EEG signals. Our approach a
Externí odkaz:
http://arxiv.org/abs/2406.08644
Dimples on a sphere's surface can lead to significant drag reduction. However, the optimal dimple depth to minimize the drag varies with the Reynolds number ($Re$). In this study, a smart surface-morphing technique is devised that can adjust dimple d
Externí odkaz:
http://arxiv.org/abs/2405.08896
Autor:
Mahendra Wijaya, Sri Hilmi Pujihartati, Sudarsana Sudarsana, Marimin Marimin, Triana Rahmawati
Publikováno v:
Society, Vol 12, Iss 2, Pp 279-293 (2024)
This article explores the efforts of Sanggar Permadani in developing, preserving, and sustaining Javanese culture. The primary focus of the Javanese cultural heritage preserved by Sanggar Permadani is pambiwara, individuals responsible for organizing
Externí odkaz:
https://doaj.org/article/b562ed0840fa4d5cadedf462156f8f35
Publikováno v:
in Proc. ICASSP, Rhodes Island, Greece, June 4-10, 2023
Automatic detection and severity level classification of dysarthria directly from acoustic speech signals can be used as a tool in medical diagnosis. In this work, the pre-trained wav2vec 2.0 model is studied as a feature extractor to build detection
Externí odkaz:
http://arxiv.org/abs/2309.14107