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Krishna Gurugubelli
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2020 – today
- 2024
- [j10]Purva Barche, Krishna Gurugubelli, Anil Kumar Vuppala:
Stockwell-Transform based feature representation for detection and assessment of voice disorders. Int. J. Speech Technol. 27(1): 101-119 (2024) - [j9]Purva Barche, Krishna Gurugubelli, Anil Kumar Vuppala:
Epoch extraction in real-world scenario. Int. J. Speech Technol. 27(3): 831-845 (2024) - [c19]Krishna Gurugubelli, Sahil Mohamed, Rajesh Krishna K. S:
Comparative Study of Tokenization Algorithms for End-to-End Open Vocabulary Keyword Detection. ICASSP 2024: 12431-12435 - 2022
- [j8]Arhant Jain
, Krishna Gurugubelli, Anil Kumar Vuppala, Kavita Vemuri:
Decoding self-automated and motivated finger movements using novel single-frequency filtering method - An EEG study. Biomed. Signal Process. Control. 72(Part): 103284 (2022) - [j7]Ramakrishna Thirumuru, Krishna Gurugubelli, Anil Kumar Vuppala:
Novel feature representation using single frequency filtering and nonlinear energy operator for speech emotion recognition. Digit. Signal Process. 120: 103293 (2022) - [c18]Syed Abdul Jabbar, Purva Sharma, Krishna Gurugubelli, Syed Azeemuddin
Implementation of Zero-Phase Zero Frequency Resonator Algorithm on FPGA. IC3 2022: 49-53 - [c17]Anshul Lahoti, Krishna Gurugubelli, Juan Rafael Orozco-Arroyave, Anil Kumar Vuppala:
Shifted Delta Cepstral Coefficients with RNN to Improve the Detection of Parkinson's Disease from the Speech. IC3 2022: 284-288 - [c16]Utkarsh Mehrotra, Sparsh Garg, Krishna Gurugubelli, Anil Kumar Vuppala:
Towards improving Disfluency Detection from Speech using Shifted Delta Cepstral Coefficients. IC3 2022: 350-355 - 2021
- [j6]Krishna Gurugubelli
Toward Improving the Performance of Epoch Extraction from Telephonic Speech. Circuits Syst. Signal Process. 40(4): 2050-2064 (2021) - [c15]Purva Barche, Krishna Gurugubelli, Anil Kumar Vuppala:
Comparative Study of Filter Banks to Improve the Performance of Voice Disorder Assessment Systems using LTAS Features. APSIPA ASC 2021: 737-742 - [c14]Utkarsh Mehrotra, Sparsh Garg, Krishna Gurugubelli, Anil Kumar Vuppala:
Detecting Multiple Disfluencies from Speech using Pre-linguistic Automatic Syllabification with Acoustic and Prosody Features. APSIPA ASC 2021: 761-768 - [c13]Nayan Anand Vats, Aditya Yadavalli, Krishna Gurugubelli, Anil Kumar Vuppala:
Acoustic Features, Bert Model and their complementary Nature for Alzheimer's Dementia Detection. IC3 2021: 267-272 - [c12]Purva Barche, Krishna Gurugubelli, Anil Kumar Vuppala:
Comparative Study of Different Epoch Extraction Methods for Speech Associated with Voice Disorders. ICASSP 2021: 6923-6927 - 2020
- [j5]Krishna Gurugubelli
Analytic phase features for dysarthric speech detection and intelligibility assessment. Speech Commun. 121: 1-15 (2020) - [j4]Krishna Gurugubelli
Duration of the rhotic approximant /ɹ/ in spastic dysarthria of different severity levels. Speech Commun. 125: 61-68 (2020) - [c11]Mohammad Hashim Javid, Krishna Gurugubelli
Single Frequency Filter Bank Based Long-Term Average Spectra for Hypernasality Detection and Assessment in Cleft Lip and Palate Speech. ICASSP 2020: 6754-6758 - [c10]Purva Barche, Krishna Gurugubelli
Towards Automatic Assessment of Voice Disorders: A Clinical Approach. INTERSPEECH 2020: 2537-2541 - [c9]Priyam Jain, Krishna Gurugubelli
Study on the Effect of Emotional Speech on Language Identification. NCC 2020: 1-6 - [c8]Priyam Jain, Krishna Gurugubelli
Towards Emotion Independent Language Identification System. SPCOM 2020: 1-5
2010 – 2019
- 2019
- [j3]Vishnu Vidyadhara Raju Vegesna, Krishna Gurugubelli
Application of Emotion Recognition and Modification for Emotional Telugu Speech Recognition. Mob. Networks Appl. 24(1): 193-201 (2019) - [j2]Krishna Gurugubelli
Stable Implementation of Zero Frequency Filtering of Speech Signals for Efficient Epoch Extraction. IEEE Signal Process. Lett. 26(9): 1310-1314 (2019) - [c7]Krishna Gurugubelli
Perceptually Enhanced Single Frequency Filtering for Dysarthric Speech Detection and Intelligibility Assessment. ICASSP 2019: 6410-6414 - [c6]Vishnu Vidyadhara Raju Vegesna, Krishna Gurugubelli, Mirishkar Sai Ganesh, Anil Kumar Vuppala:
Towards Feature-space Emotional Speech Adaptation for TDNN based Telugu ASR systems. SMM 2019 - 2018
- [j1]Vishnu Vidyadhara Raju Vegesna, Krishna Gurugubelli
Prosody modification for speech recognition in emotionally mismatched conditions. Int. J. Speech Technol. 21(3): 521-532 (2018) - [c5]Hari Krishna Vydana, Krishna Gurugubelli
An Exploration towards Joint Acoustic Modeling for Indian Languages: IIIT-H Submission for Low Resource Speech Recognition Challenge for Indian Languages, INTERSPEECH 2018. INTERSPEECH 2018: 3192-3196 - [c4]Ravi Kumar Vuddagiri, Krishna Gurugubelli
IIITH-ILSC Speech Database for Indain Language Identification. SLTU 2018: 56-60 - [c3]Ramakrishna Thirumuru, Krishna Gurugubelli
Automatic Detection of Palatalized Consonants in Kashmiri. SLTU 2018: 117-121 - [c2]Vishnu Vidyadhara Raju Vegesna, Priyam Jain, Krishna Gurugubelli
Emotional Speech Classifier Systems: For Sensitive Assistance to support Disabled Individuals. SMM 2018 - 2017
- [c1]Vishnu Vidyadhara Raju Vegesna, Krishna Gurugubelli
DNN-HMM Acoustic Modeling for Large Vocabulary Telugu Speech Recognition. MIKE 2017: 189-197
Coauthor Index
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