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Hari Krishna Vydana
Hari Krishna Vydana
Research Associate, Uniersity of Cambridge
Geverifieerd e-mailadres voor cam.ac.uk
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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
362018
Vowel-based non-uniform prosody modification for emotion conversion
HK Vydana, SR Kadiri, AK Vuppala
Circuits, Systems, and Signal Processing 35, 1643-1663, 2016
272016
Significance of GMM-UBM based modelling for Indian language identification
VR Kumar, HK Vydana, AK Vuppala
Procedia Computer Science 54, 231-236, 2015
272015
Investigative study of various activation functions for speech recognition
HK Vydana, AK Vuppala
2017 Twenty-third National Conference on Communications (NCC), 1-5, 2017
262017
Residual neural networks for speech recognition
HK Vydana, AK Vuppala
2017 25th European Signal Processing Conference (EUSIPCO), 543-547, 2017
252017
Jointly trained transformers models for spoken language translation
HK Vydana, M Karafiát, K Zmolikova, L Burget, H Černocký
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
242021
IIITH-ILSC Speech Database for Indain Language Identification.
RK Vuddagiri, K Gurugubelli, P Jain, HK Vydana, AK Vuppala
SLTU, 56-60, 2018
232018
Bayesian subspace hidden Markov model for acoustic unit discovery
L Ondel, HK Vydana, L Burget, J Černocký
arXiv preprint arXiv:1904.03876, 2019
222019
Significance of neural phonotactic models for large-scale spoken language identification
BML Srivastava, H Vydana, AK Vuppala, M Shrivastava
2017 International Joint Conference on Neural Networks (IJCNN), 2144-2151, 2017
222017
Improved emotion recognition using GMM-UBMs
HK Vydana, PP Kumar, KSR Krishna, AK Vuppala
2015 International Conference on Signal Processing and Communication …, 2015
212015
An Exploration towards Joint Acoustic Modeling for Indian Languages: IIIT-H Submission for Low Resource Speech Recognition Challenge for Indian Languages, INTERSPEECH 2018.
HK Vydana, K Gurugubelli, VVR Vegesna, AK Vuppala
INTERSPEECH, 3192-3196, 2018
202018
Dnn-hmm acoustic modeling for large vocabulary telugu speech recognition
VVR Vegesna, K Gurugubelli, HK Vydana, B Pulugandla, M Shrivastava, ...
Mining Intelligence and Knowledge Exploration: 5th International Conference …, 2017
172017
Detection of emotionally significant regions of speech for emotion recognition
HK Vydana, P Vikash, T Vamsi, KP Kumar, AK Vuppala
2015 Annual IEEE India Conference (INDICON), 1-6, 2015
152015
Improved Language Identification Using Stacked SDC Features and Residual Neural Network.
RK Vuddagiri, HK Vydana, AK Vuppala
SLTU, 210-214, 2018
142018
Detection of fricatives using S-transform
HK Vydana, AK Vuppala
The Journal of the Acoustical Society of America 140 (5), 3896-3907, 2016
92016
Improved language identification in presence of speech coding
RK Vuddagiri, HK Vydana, JV Bhupathiraju, SV Gangashetty, AK Vuppala
Mining Intelligence and Knowledge Exploration: Third International …, 2015
82015
BUT Opensat 2019 speech recognition system
M Karafiát, MK Baskar, I Szöke, HK Vydana, K Veselý, J Černocký
arXiv preprint arXiv:2001.11360, 2020
72020
An investigation of LSTM-CTC based joint acoustic model for Indian language identification
T Mandava, RK Vuddagiri, HK Vydana, AK Vuppala
2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019
72019
Significance of emotionally significant regions of speech for emotive to neutral conversion
HK Vydana, VVV Raju, SV Gangashetty, AK Vuppala
Mining Intelligence and Knowledge Exploration: Third International …, 2015
72015
A language model based approach towards large scale and lightweight language identification systems
BML Srivastava, HK Vydana, AK Vuppala, M Shrivastava
arXiv preprint arXiv:1510.03602, 2015
62015
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Artikelen 1–20