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ORCIDSusmitha Vekkot
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2020 – today
- 2024
[j8]Abdulqahar Mukhtar Abubakar
, Deepa Gupta, Susmitha Vekkot:
Development of a diacritic-aware large vocabulary automatic speech recognition for Hausa language. Int. J. Speech Technol. 27(3): 687-700 (2024)- 2023
- [j7]Susmitha Vekkot, Nagulapati Naga Venkata Sai Prakash, Thirupati Sai Eswar Reddy, Satwik Reddy Sripathi, S. Lalitha, Deepa Gupta, Mohammed Zakariah, Yousef Ajami Alotaibi:
Dementia Speech Dataset Creation and Analysis in Indic Languages - A Pilot Study. IEEE Access 11: 130697-130718 (2023) - [c11]K. Vishnu Sainadh, K. Satwik, V. Ashrith, Susmitha Vekkot:
Playing Maze using Voice Commands. ICCCNT 2023: 1-7 - [i1]Junyu Chen, Susmitha Vekkot, Pancham Shukla:
Music Source Separation Based on a Lightweight Deep Learning Framework (DTTNET: DUAL-PATH TFC-TDF UNET). CoRR abs/2309.08684 (2023) - 2022
- [j6]Susmitha Vekkot, Deepa Gupta:
Fusion of spectral and prosody modelling for multilingual speech emotion conversion. Knowl. Based Syst. 242: 108360 (2022) - [j5]M. Rupesh Kumar, Susmitha Vekkot, S. Lalitha, Deepa Gupta, Varasiddhi Jayasuryaa Govindraj, Kamran Shaukat, Yousef Ajami Alotaibi, Mohammed Zakariah:
Dementia Detection from Speech Using Machine Learning and Deep Learning Architectures. Sensors 22(23): 9311 (2022) - [c10]A. Akhilesh, P. Brinda, Keerthana S., Deepa Gupta, Susmitha Vekkot:
Tamil Speech Recognition Using XLSR Wav2Vec2.0 & CTC Algorithm. ICCCNT 2022: 1-6 - 2020
- [j4]Susmitha Vekkot, Deepa Gupta, Mohammed Zakariah, Yousef Ajami Alotaibi:
Emotional Voice Conversion Using a Hybrid Framework With Speaker-Adaptive DNN and Particle-Swarm-Optimized Neural Network. IEEE Access 8: 74627-74647 (2020) - [j3]Susmitha Vekkot, Deepa Gupta:
Speaker-independent expressive voice synthesis using learning-based hybrid network model. Int. J. Speech Technol. 23(3): 597-613 (2020)
2010 – 2019
- 2019
- [j2]Susmitha Vekkot, Deepa Gupta, Mohammed Zakariah, Yousef Ajami Alotaibi:
Hybrid Framework for Speaker-Independent Emotion Conversion Using i-Vector PLDA and Neural Network. IEEE Access 7: 81883-81902 (2019) - [j1]Susmitha Vekkot, Deepa Gupta:
Prosodic transformation in vocal emotion conversion for multi-lingual scenarios: a pilot study. Int. J. Speech Technol. 22(3): 533-549 (2019) - [c9]Susmitha Vekkot, Deepa Gupta:
Emotion Conversion in Telugu using Constrained Variance GMM and Continuous Wavelet Transform-$F_{0}$. TENCON 2019: 991-996 - 2018
- [c8]Konduru Juhitha, Susmitha Vekkot, Modh Jay Yogesh, Shikha Tripathi, R. Shashank:
Laughter Synthesis using Mass-spring Model and Excitation Source Characteristics. ICACCI 2018: 1102-1108 - 2017
- [c7]Susmitha Vekkot:
Building a generalized model for multi-lingual vocal emotion conversion. ACII 2017: 576-580 - [c6]Anisha Yathigiri, Meenalatha Bathula, Susmitha Kothapalli, Susmitha Vekkot, Shikha Tripathi:
Voice transformation using pitch and spectral mapping. ICACCI 2017: 1540-1544 - [c5]Susmitha Vekkot, Shikha Tripathi:
Vocal Emotion Conversion Using WSOLA and Linear Prediction. SPECOM 2017: 777-787 - 2016
- [c4]Susmitha Vekkot, Shikha Tripathi:
Significance of Glottal Closure Instants Detection Algorithms in Vocal Emotion Conversion. SOFA (1) 2016: 462-473 - 2015
- [c3]B. Akanksh, Susmitha Vekkot, Shikha Tripathi:
Interconversion of Emotions in Speech Using TD-PSOLA. SIRS 2015: 367-378 - [c2]Susmitha Vekkot, Pancham Shukla:
Gaussian filter based à-trous algorithm for image fusion. WCI 2015: 330-334 - 2010
- [c1]Susmitha Vekkot:
Wavelet Based Medical Image Fusion Using Filter Masks. FIRA 2010: 298-305
Coauthor Index
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