Anil Kumar Vuppala
Anil Kumar Vuppala
Associate Professor, LTRC, IIIT Hyderabad
Verified email at - Homepage
Cited by
Cited by
IITKGP-SESC: Speech database for emotion analysis
SG Koolagudi, S Maity, VA Kumar, S Chakrabarti, KS Rao
Contemporary Computing, 485-492, 2009
Vowel onset point detection for low bit rate coded speech
AK Vuppala, J Yadav, S Chakrabarti, KS Rao
IEEE Transactions on Audio, Speech, and Language Processing 20 (6), 1894-1903, 2012
SFF Anti-Spoofer: IIIT-H Submission for Automatic Speaker Verification Spoofing and Countermeasures Challenge 2017.
KR Alluri, S Achanta, SR Kadiri, SV Gangashetty, AK Vuppala
Interspeech, 107-111, 2017
IITKGP-MLILSC speech database for language identification
S Maity, AK Vuppala, KS Rao, D Nandi
2012 National Conference on Communications (NCC), 1-5, 2012
An investigation of deep neural network architectures for language recognition in indian languages.
KV Mounika, S Achanta, HR Lakshmi, SV Gangashetty, AK Vuppala
INTERSPEECH, 2930-2933, 2016
Non-uniform time scale modification using instants of significant excitation and vowel onset points
KS Rao, AK Vuppala
Speech Communication 55 (6), 745-756, 2013
Improved vowel onset point detection using epoch intervals
AK Vuppala, KS Rao, S Chakrabarti
AEU-International Journal of Electronics and Communications 66 (8), 697-700, 2012
Perceptually enhanced single frequency filtering for dysarthric speech detection and intelligibility assessment
K Gurugubelli, AK Vuppala
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
Neural network based feature transformation for emotion independent speaker identification
SR Krothapalli, J Yadav, S Sarkar, SG Koolagudi, AK Vuppala
International Journal of Speech Technology 15, 335-349, 2012
Curriculum learning based approach for noise robust language identification using DNN with attention
RK Vuddagiri, HK Vydana, AK Vuppala
Expert Systems with Applications 110, 290-297, 2018
Speech processing in mobile environments
KS Rao, AK Vuppala
Springer International Publishing, 2014
Towards Automatic Assessment of Voice Disorders: A Clinical Approach.
P Barche, K Gurugubelli, AK Vuppala
INTERSPEECH, 2537-2541, 2020
Vowel onset point detection for noisy speech using spectral energy at formant frequencies
AK Vuppala, KS Rao
International Journal of Speech Technology 16, 229-235, 2013
Spotting and recognition of consonant-vowel units from continuous speech using accurate detection of vowel onset points
AK Vuppala, KS Rao, S Chakrabarti
Circuits, Systems, and Signal Processing 31, 1459-1474, 2012
Vowel-based non-uniform prosody modification for emotion conversion
HK Vydana, SR Kadiri, AK Vuppala
Circuits, Systems, and Signal Processing 35, 1643-1663, 2016
Detection of Replay Attacks Using Single Frequency Filtering Cepstral Coefficients.
KR Alluri, S Achanta, SR Kadiri, SV Gangashetty, AK Vuppala
Interspeech, 2596-2600, 2017
Significance of GMM-UBM based modelling for Indian language identification
VR Kumar, HK Vydana, AK Vuppala
Procedia Computer Science 54, 231-236, 2015
Improved consonant–vowel recognition for low bit‐rate coded speech
AK Vuppala, K Sreenivasa Rao, S Chakrabarti
International Journal of Adaptive control and Signal processing 26 (4), 333-349, 2012
Investigative study of various activation functions for speech recognition
HK Vydana, AK Vuppala
2017 Twenty-third National Conference on Communications (NCC), 1-5, 2017
Robust speaker recognition on mobile devices
KS Rao, AK Vuppala, S Chakrabarti, L Dutta
2010 International conference on signal processing and communications (SPCOM …, 2010
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