Zobrazeno 1 - 10 of 10 pro vyhledávání: '"M V Achuth Rao"'
1
TLU-Net: A Deep Learning Approach for Automatic Steel Surface Defect Detection
Autor: Jordan Ringenberg, Praveen Damacharla, M V Achuth Rao, Ahmad Y. Javaid
Visual steel surface defect detection is an essential step in steel sheet manufacturing. Several machine learning-based automated visual inspection (AVI) methods have been studied in recent years. However, most steel manufacturing industries still us
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::475c9dd8bf6f52ec6933e24bf78897f6
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3
Automatic Classification of Volumes of Water Using Swallow Sounds from Cervical Auscultation
Autor: Prasanta Kumar Ghosh, Siddharth Subramani, Divya Giridhar, M V Achuth Rao, Prasanna Suresh Hegde
Publikováno v: ICASSP
The signatures of swallowing vary depending on the volume of bolus swallowed. Among existing instrumental methods, cervical auscultation (CA) captures the acoustic signatures of the swallow sound. Although many features present in the literature can
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b8dfa29625897ee1c1380b4d0c6f6b50
https://doi.org/10.1109/icassp40776.2020.9053037
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5
Automatic Glottis Localization and Segmentation in Stroboscopic Videos Using Deep Neural Network
Autor: M V Achuth Rao, Rahul Krishnamurthy, Veeramani Priyadharshini, Prasanta Kumar Ghosh, Pebbili Gopikishore
Publikováno v: INTERSPEECH
Exact analysis of the glottal vibration patten is vital for assessing voice pathologies. One of the primary steps in this analysis is automatic glottis segmentation, which, in turn, has two main parts, namely, glottis localization and the glottis seg
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::266b90c7dde776d14439f3bc6217d67a
https://doi.org/10.21437/interspeech.2018-2572
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7
Automatic Prediction Of Spirometry Readings From Cough And Wheeze For Monitoring Of Asthma Severity
Autor: M V Achuth Rao, Dipanjan Gope, Uma Maheswari Krishnaswamy, Prasanta Kumar Ghosh, Shivani Yadav, N. K. Kausthubha
Publikováno v: EUSIPCO
We consider the task of automatically predicting spirometry readings from cough and wheeze audio signals for asthma severity monitoring. Spirometry is a pulmonary function test used to measure forced expiratory volume in one second (FEV1) and forced
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a763532c3673c64102be13870c91f655
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9
Pitch prediction from Mel-frequency cepstral coefficients using sparse spectrum recovery
Autor: Prasanta Kumar Ghosh, M V Achuth Rao
Publikováno v: NCC
This work proposes a technique for predicting the pitch from Mel-frequency cepstral coefficients (MFCC) vectors. Previous pitch prediction methods are based on the statistical models such as Gaussian mixture models and hidden Markov models. In this p
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8360097a875f33498e6888c9f1b03a2e
https://doi.org/10.1109/ncc.2017.8077130
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10
Low Power Portable EEG for Continuous Monitoring with Active Electrodes
Autor: S. Narayanan, M V Achuth Rao, B. Abhishek, Abhishek G. Poojary
Publikováno v: 2013 Texas Instruments India Educators' Conference.
A low power and portable EEG with active electrodes for continuous monitoring of brain waves is presented. Main innovation in the project is the development of high performance dry active electrodes, which are more practical and wearable than the con
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d8d9deeed0b54b6bca60f6dc9a6b6ccd
https://doi.org/10.1109/tiiec.2013.66
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