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Debadatta Pati
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2020 – today
- 2023
- [j10]Salam Nandakishor
, Debadatta Pati:
Usefulness of glottal excitation source information for audio-visual speech recognition system. Int. J. Speech Technol. 26(4): 933-945 (2023) - [c12]Salam Nandakishor
, Debadatta Pati:
Improvement of Audio-Visual Keyword Spotting System Accuracy Using Excitation Source Feature. SPECOM (2) 2023: 344-356 - 2021
- [j9]Krishna Dutta
, Madhusudan Singh, Debadatta Pati:
Detection of replay signals using excitation source and shifted CQCC features. Int. J. Speech Technol. 24(2): 497-507 (2021) - [c11]Salam Nandakishor, Debadatta Pati:
Analysis of Lombard Effect by Using Hybrid Visual Features for ASR. PReMI 2021: 328-335 - 2020
- [c10]Krishna Dutta, Debadatta Pati:
Effective Combination of Multiple Evidences for I-vector Based Limited Data Speaker Verification. NCC 2020: 1-5
2010 – 2019
- 2019
- [j8]Madhusudan Singh, Debadatta Pati:
Combining evidences from Hilbert envelope and residual phase for detecting replay attacks. Int. J. Speech Technol. 22(2): 313-326 (2019) - [c9]Jagabandhu Mishra
, Debadatta Pati, S. R. Mahadeva Prasanna:
Modelling Glottal Flow Derivative Signal for Detection of Replay Speech Samples. NCC 2019: 1-5 - 2018
- [j7]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) - [c8]Madhusudan Singh, Debadatta Pati:
Linear Prediction Residual based Short-term Cepstral Features for Replay Attacks Detection. INTERSPEECH 2018: 751-755 - [c7]Jagabandhu Mishra
, Madhusudan Singh, Debadatta Pati:
Processing linear prediction residual signal to counter replay attacks. SPCOM 2018: 95-99 - 2017
- [j6]Dipanjan Nandi
, Debadatta Pati, K. Sreenivasa Rao:
Implicit processing of LP residual for language identification. Comput. Speech Lang. 41: 68-87 (2017) - [j5]Dipanjan Nandi
, Debadatta Pati, K. Sreenivasa Rao:
Parametric representation of excitation source information for language identification. Comput. Speech Lang. 41: 88-115 (2017) - [c6]Madhusudan Singh, Jagabandhu Mishra
, Debadatta Pati:
Usefulness of linear prediction residual signal for development of replay attacks detection system. NCC 2017: 1-4 - 2015
- [j4]Debadatta Pati, S. R. Mahadeva Prasanna:
Processing of linear prediction residual in spectral and cepstral domains for speaker information. Int. J. Speech Technol. 18(3): 333-350 (2015) - [j3]Dipanjan Nandi
, Debadatta Pati, K. Sreenivasa Rao:
Implicit excitation source features for robust language identification. Int. J. Speech Technol. 18(3): 459-477 (2015) - [c5]Rohan Kumar Das
, Debadatta Pati, S. R. Mahadeva Prasanna:
Different aspects of source information for limited data speaker verification. NCC 2015: 1-6 - 2013
- [c4]S. B. Sunil Kumar, K. Sreenivasa Rao, Debadatta Pati:
Phonetic and Prosodically Rich Transcribed speech corpus in Indian languages: Bengali and Odia. O-COCOSDA/CASLRE 2013: 1-5 - [c3]K. E. Manjunath, K. Sreenivasa Rao, Debadatta Pati:
Development of phonetic engine for Indian languages: Bengali and Oriya. O-COCOSDA/CASLRE 2013: 1-6 - [c2]Dipanjan Nandi
, Debadatta Pati, K. Sreenivasa Rao:
Language identification using Hilbert envelope and phase information of linear prediction residual. O-COCOSDA/CASLRE 2013: 1-6 - 2012
- [j2]Debadatta Pati, S. R. Mahadeva Prasanna:
Speaker verification using excitation source information. Int. J. Speech Technol. 15(2): 241-257 (2012) - 2011
- [j1]Debadatta Pati, S. R. Mahadeva Prasanna:
Subsegmental, segmental and suprasegmental processing of linear prediction residual for speaker information. Int. J. Speech Technol. 14(1): 49-64 (2011) - [c1]D. Govind, S. R. Mahadeva Prasanna, Debadatta Pati:
Epoch Extraction in High Pass Filtered Speech Using Hilbert Envelope. INTERSPEECH 2011: 1977-1980
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