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ORCIDJagabandhu Mishra
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2020 – today
- 2024
[j3]Jagabandhu Mishra
, S. R. Mahadeva Prasanna:
Generative attention based framework for implicit language change detection. Digit. Signal Process. 154: 104678 (2024)- [j2]Jagabandhu Mishra, S. R. Mahadeva Prasanna:
Implicit Self-Supervised Language Representation for Spoken Language Diarization. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3393-3407 (2024) - [i6]Oguzhan Kurnaz, Selim Can Demirtas, Aykut Büker, Jagabandhu Mishra, Cemal Hanilçi:
Spoofing-Robust Speaker Verification Using Parallel Embedding Fusion: BTU Speech Group's Approach for ASVspoof5 Challenge. CoRR abs/2408.15877 (2024) - [i5]Manasi Chhibber, Jagabandhu Mishra, Hye-Jin Shim, Tomi H. Kinnunen:
An Explainable Probabilistic Attribute Embedding Approach for Spoofed Speech Characterization. CoRR abs/2409.11027 (2024) - 2023
- [c17]Jagabandhu Mishra, Jayadev N. Patil, Amartya Chowdhury, S. R. Mahadeva Prasanna:
End to End Spoken Language Diarization with Wav2vec Embeddings. INTERSPEECH 2023: 501-505 - [c16]Jagabandhu Mishra, S. R. Mahadeva Prasanna:
Challenges in spoken language diarization in code-switched scenario. NCC 2023: 1-6 - [c15]Sougata Mukherjee, Jagabandhu Mishra, S. R. Mahadeva Prasanna:
Significance of Indic Self-supervised Speech Representations for Indic Under-Resourced ASR. SPECOM (2) 2023: 100-113 - [c14]Rishith Sadashiv T. N., Devesh Kumar, Ayush Agarwal, Moakala Tzudir, Jagabandhu Mishra, S. R. Mahadeva Prasanna:
Source and System-Based Modulation Approach for Fake Speech Detection. SPECOM (1) 2023: 142-155 - [c13]Jagabandhu Mishra, Mrinmoy Bhattacharjee, S. R. Mahadeva Prasanna:
I-MSV 2022: Indic-Multilingual and Multi-sensor Speaker Verification Challenge. SPECOM (2) 2023: 437-445 - [c12]Pavanitha Manche, Sahaja Nandyala, Jagabandhu Mishra, Gayathri Ananthanarayanan, S. R. Mahadeva Prasanna:
Design and Development of Voice OTP Authentication System. SPECOM (2) 2023: 513-528 - [i4]Jagabandhu Mishra, S. R. Mahadeva Prasanna:
Spoken language change detection inspired by speaker change detection. CoRR abs/2302.05265 (2023) - [i3]Jagabandhu Mishra, Mrinmoy Bhattacharjee, S. R. Mahadeva Prasanna:
I-MSV 2022: Indic-Multilingual and Multi-sensor Speaker Verification Challenge. CoRR abs/2302.13209 (2023) - [i2]Jagabandhu Mishra, Amartya Chowdhury, S. R. Mahadeva Prasanna:
Implicit spoken language diarization. CoRR abs/2306.12913 (2023) - [i1]Jagabandhu Mishra, S. R. Mahadeva Prasanna:
Implicit Self-supervised Language Representation for Spoken Language Diarization. CoRR abs/2308.10470 (2023) - 2022
- [c11]Jagabandhu Mishra, Soma Siddhartha, S. R. Mahadeva Prasanna:
Importance of excitation source and sequence learning towards spoken language identification task. NCC 2022: 190-194 - [c10]Ayush Agarwal, Amitabh Swain, Jagabandhu Mishra, S. R. Mahadeva Prasanna:
Significance of Prosody Modification in Privacy Preservation on speaker verification. NCC 2022: 245-249 - [c9]Lalaram Arya, Ayush Agarwal, Jagabandhu Mishra, S. R. Mahadeva Prasanna:
Analysis of Layer-Wise Training in Direct Speech to Speech Translation Using BI-LSTM. O-COCOSDA 2022 2022: 1-6 - [c8]Ayush Agarwal, Jagabandhu Mishra, S. R. Mahadeva Prasanna:
Significance of excitation source sequence information for Speaker Verification. SPCOM 2022: 1-5 - [c7]Jagabandhu Mishra, Joshitha Gandra, Vaishnavi Patil, S. R. Mahadeva Prasanna:
Issues in Sub-Utterance Level Language Identification in a Code Switched Bilingual Scenario. SPCOM 2022: 1-5 - [c6]Jagabandhu Mishra, S. R. Mahadeva Prasanna:
Importance of Supra-Segmental Information and Self-Supervised Framework for Spoken Language Diarization Task. SPECOM 2022: 494-507 - 2020
- [c5]Ayush Agarwal, Jagabandhu Mishra, S. R. Mahadeva Prasanna:
VOP Detection in Variable Speech Rate Condition. INTERSPEECH 2020: 3690-3694 - [c4]Soma Siddhartha, Jagabandhu Mishra, S. R. Mahadeva Prasanna:
Language Specific Information from LP Residual Signal Using Linear Sub Band Filters. NCC 2020: 1-5
2010 – 2019
- 2019
- [c3]Jagabandhu Mishra, Debadatta Pati, S. R. Mahadeva Prasanna:
Modelling Glottal Flow Derivative Signal for Detection of Replay Speech Samples. NCC 2019: 1-5 - 2018
- [j1]Krishna Dutta, Jagabandhu Mishra, Debadatta Pati:
Effective use of combined excitation source and vocal-tract information for speaker recognition tasks. Int. J. Speech Technol. 21(4): 1057-1070 (2018) - [c2]Jagabandhu Mishra, Madhusudan Singh, Debadatta Pati:
Processing linear prediction residual signal to counter replay attacks. SPCOM 2018: 95-99 - 2017
- [c1]Madhusudan Singh, Jagabandhu Mishra, Debadatta Pati:
Usefulness of linear prediction residual signal for development of replay attacks detection system. NCC 2017: 1-4
Coauthor Index
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