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ORCIDVikram C. M.
Person information
- affiliation: Arizona State University, Department of Speech and Hearing Sciences, Tempe, AZ, USA
- affiliation (PhD 2019): Indian Institute of Technology Guwahati, Department of Electronics and Electrical Engineering, India
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2020 – today
- 2023
[j6]Vikram C. Mathad
, Julie M. Liss, Kathy Chapman, Nancy Scherer, Visar Berisha:
Consonant-Vowel Transition Models Based on Deep Learning for Objective Evaluation of Articulation. IEEE ACM Trans. Audio Speech Lang. Process. 31: 86-95 (2023)- 2021
- [j5]Protima Nomo Sudro, Vikram C. M., S. R. Mahadeva Prasanna:
Event-Based Transformation of Misarticulated Stops in Cleft Lip and Palate Speech. Circuits Syst. Signal Process. 40(8): 4064-4088 (2021) - [j4]Vikram C. Mathad, Nancy Scherer, Kathy Chapman, Julie M. Liss, Visar Berisha:
A Deep Learning Algorithm for Objective Assessment of Hypernasality in Children With Cleft Palate. IEEE Trans. Biomed. Eng. 68(10): 2986-2996 (2021) - [c13]Vikram C. Mathad, Nancy Scherer, Kathy Chapman, Julie Liss, Visar Berisha:
An Attention Model for Hypernasality Prediction in Children with Cleft Palate. ICASSP 2021: 7248-7252 - [c12]Vikram C. Mathad, Tristan J. Mahr, Nancy Scherer, Kathy Chapman, Katherine C. Hustad, Julie Liss, Visar Berisha:
The Impact of Forced-Alignment Errors on Automatic Pronunciation Evaluation. Interspeech 2021: 1922-1926 - 2020
- [j3]Vikram C. Mathad, S. R. Mahadeva Prasanna:
Vowel Onset Point Based Screening of Misarticulated Stops in Cleft Lip and Palate Speech. IEEE ACM Trans. Audio Speech Lang. Process. 28: 450-460 (2020) - [c11]Vikram C. Mathad, Kathy Chapman, Julie Liss, Nancy Scherer, Visar Berisha:
Deep Learning Based Prediction of Hypernasality for Clinical Applications. ICASSP 2020: 6554-6558 - [c10]Ajish K. Abraham, M. Pushpavathi, N. Sreedevi, A. Navya, Vikram C. Mathad, S. R. Mahadeva Prasanna:
Spectral Moment and Duration of Burst of Plosives in Speech of Children with Hearing Impairment and Typically Developing Children - A Comparative Study. INTERSPEECH 2020: 4981-4985
2010 – 2019
- 2019
- [j2]Vikram C. M., Nagaraj Adiga, S. R. Mahadeva Prasanna:
Detection of Nasalized Voiced Stops in Cleft Palate Speech Using Epoch-Synchronous Features. IEEE ACM Trans. Audio Speech Lang. Process. 27(7): 1189-1200 (2019) - 2018
- [c9]Ravi Shankar, Vikram C. M., S. R. Mahadeva Prasanna:
Spoken Keyword Detection Using Joint DTW-CNN. INTERSPEECH 2018: 117-121 - [c8]Vikram C. M., S. R. Mahadeva Prasanna, Ajish K. Abraham, Pushpavathi M, Girish K. S:
Detection of Glottal Activity Errors in Production of Stop Consonants in Children with Cleft Lip and Palate. INTERSPEECH 2018: 382-386 - [c7]Vikram C. M., Ayush Tripathi, Sishir Kalita, S. R. Mahadeva Prasanna:
Estimation of Hypernasality Scores from Cleft Lip and Palate Speech. INTERSPEECH 2018: 1701-1705 - [c6]Vikram C. M., S. R. Mahadeva Prasanna:
Epoch Extraction from Pathological Children Speech Using Single Pole Filtering Approach. INTERSPEECH 2018: 2310-2314 - 2017
- [j1]Vikram C. M., S. R. Mahadeva Prasanna:
Epoch Extraction From Telephone Quality Speech Using Single Pole Filter. IEEE ACM Trans. Audio Speech Lang. Process. 25(3): 624-636 (2017) - [c5]Nagaraj Adiga, Vikram C. M., Keerthi Pullela, S. R. Mahadeva Prasanna:
Zero Frequency Filter Based Analysis of Voice Disorders. INTERSPEECH 2017: 1824-1828 - [c4]Nikitha K., Sishir Kalita, Vikram C. M., M. Pushpavathi, S. R. Mahadeva Prasanna:
Hypernasality Severity Analysis in Cleft Lip and Palate Speech Using Vowel Space Area. INTERSPEECH 2017: 1829-1833 - [c3]Protima Nomo Sudro, Vikram C. M., S. R. Mahadeva Prasanna:
Vowel onset point based characterization of velopharyngeal activity using imaging techniques. NCC 2017: 1-5 - 2016
- [c2]Vikram C. M., Nagaraj Adiga, S. R. Mahadeva Prasanna:
Spectral Enhancement of Cleft Lip and Palate Speech. INTERSPEECH 2016: 117-121 - 2013
- [c1]Vikram C. M., K. Umarani:
Phoneme independent pathological voice detection using wavelet based MFCCs, GMM-SVM hybrid classifier. ICACCI 2013: 929-934
Coauthor Index
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last updated on 2023-09-28 03:30 CEST by the dblp team
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