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Vinay Kumar Mittal
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2020 – today
- 2024
- [c23]Esther Ramdinmawii, Vinay Kumar Mittal, Sanghamitra Nath:
Acoustic Characterization of Mizo Folk Songs. NCC 2024: 1-6 - [c22]Esther Ramdinmawii, Sanghamitra Nath, Vinay Kumar Mittal:
Acoustic Analysis to Characterize Mizo Folk Songs. SPCOM 2024: 1-5 - 2022
- [j2]Abhijit Mohanta, Vinay Kumar Mittal:
Analysis and classification of speech sounds of children with autism spectrum disorder using acoustic features. Comput. Speech Lang. 72: 101287 (2022) - 2020
- [c21]John Philip Bhimavarapu
, S. S. S. Kalyan, Vinay Kumar Mittal:
Discriminating High Arousal and Low Arousal Emotional Speech Using Mahalanobis Distance Among Acoustic Features. NCC 2020: 1-6 - [c20]Abhijit Mohanta, Vinay Kumar Mittal:
Classifying Speech of ASD Affected and Normal Children Using Acoustic Features. NCC 2020: 1-6 - [c19]Devi Bhavani Kadali, Vinay Kumar Mittal:
Studies on Paralinguistic Sounds, Emotional Speech and Expressive Voices. SMM 2020
2010 – 2019
- 2018
- [c18]Shivam Sharma, P. Viswanath, Vinay Kumar Mittal:
Infant Crying Cause Recognition using Conventional and Deep Learning based Approaches. ICON 2018: 20-27 - [c17]Abhijit Mohanta, Vinay Kumar Mittal:
Analyzing Autism Speech of Children in English Vowels Regions by Analysis of Changes in Production Features. ICON 2018: 145-149 - [c16]Esther Ramdinmawii
Discriminating between High-Arousal and Low-Arousal Emotional States of Mind using Acoustic Analysis. SMM 2018 - 2017
- [c15]Esther Ramdinmawii
Effect of different music genre: Attention vs. meditation. ACII Workshops 2017: 135-140 - [c14]Shivam Sharma
Component Characterization of Western and Indian Classical Music. SIRS 2017: 57-69 - 2016
- [c13]Vinay Kumar Mittal:
Discriminating features of infant cry acoustic signal for automated detection of cause of crying. ISCSLP 2016: 1-5 - [c12]Vinay Kumar Mittal, Anil Kumar Vuppala:
Significance of automatic detection of vowel regions for automatic shout detection in continuous speech. ISCSLP 2016: 1-5 - [c11]Vinay Kumar Mittal, B. Yegnanarayana:
A sparse representation of the excitation source characteristics of nonnormal speech sounds. ISCSLP 2016: 1-5 - [c10]Vinay Kumar Mittal, Anil Kumar Vuppala:
Changes in shout features in automatically detected vowel regions. SPCOM 2016: 1-5 - 2015
- [j1]Vinay Kumar Mittal, Bayya Yegnanarayana:
Analysis of production characteristics of laughter. Comput. Speech Lang. 30(1): 99-115 (2015) - [c9]Shivam Sharma, Shubham Asthana, Vinay Kumar Mittal:
A Database of Infant Cry Sounds to Study the Likely Cause of Cry. ICON 2015: 112-117 - 2014
- [c8]Sudarsana Reddy Kadiri, P. Gangamohan, Vinay Kumar Mittal, B. Yegnanarayana:
Naturalistic Audio-Visual Emotion Database. ICON 2014: 206-213 - [c7]Vinay Kumar Mittal, Bayya Yegnanarayana:
An Automatic Shout Detection System Using Speech Production Features. MA3HMI@INTERSPEECH 2014: 88-98 - [c6]Vinay Kumar Mittal, B. Yegnanarayana:
Significance of aperiodicity in the pitch perception of expressive voices. INTERSPEECH 2014: 504-508 - [c5]Vinay Kumar Mittal, B. Yegnanarayana:
Study of changes in glottal vibration characteristics during laughter. INTERSPEECH 2014: 1777-1781 - [c4]Shubham Asthana, Naman Varma, Vinay Kumar Mittal:
Preliminary analysis of causes of infant cry. ISSPIT 2014: 468-473 - 2013
- [c3]Vinay Kumar Mittal, B. Yegnanarayana:
Production features for detection of shouted speech. CCNC 2013: 106-111 - 2012
- [c2]P. Gangamohan
A Flexible Analysis Synthesis Tool (FAST) for studying the characteristic features of emotion in speech. CCNC 2012: 250-254 - [c1]Vinay Kumar Mittal, N. Dhananjaya, Bayya Yegnanarayana:
Effect of Tongue Tip Trilling on the Glottal Excitation Source. INTERSPEECH 2012: 1596-1599
Coauthor Index
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last updated on 2024-11-22 20:42 CET by the dblp team
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