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Books and Theses
- 2014
[b1]K. Sreenivasa Rao, Anil Kumar Vuppala:
Speech Processing in Mobile Environments. Springer Briefs in Electrical and Computer Engineering, Springer 2014, ISBN 978-3-319-03115-6, pp. i-xii, 1-121
Journal Articles
- 2024
- [j26]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) - [j25]Purva Barche, Krishna Gurugubelli, Anil Kumar Vuppala:
Epoch extraction in real-world scenario. Int. J. Speech Technol. 27(3): 831-845 (2024) - 2023
- [j24]Mirishkar Sai Ganesh, Vishnu Vidyadhara Raju Vegesna, Meher Dinesh Naroju, Sudhamay Maity, Prakash Yalla, Anil Kumar Vuppala:
IIITH-CSTD Corpus: Crowdsourced Strategies for the Collection of a Large-scale Telugu Speech Corpus. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(7): 195:1-195:26 (2023) - 2022
- [j23]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) - [j22]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) - 2021
- [j21]Krishna Gurugubelli, Mohammad Hashim Javid, K. N. R. K. Raju Alluri, Anil Kumar Vuppala:
Toward Improving the Performance of Epoch Extraction from Telephonic Speech. Circuits Syst. Signal Process. 40(4): 2050-2064 (2021) - [j20]Hari Krishna Vydana, Anil Kumar Vuppala:
Detection of Fricative Landmarks Using Spectral Weighting: A Temporal Approach. Circuits Syst. Signal Process. 40(5): 2376-2399 (2021) - 2020
- [j19]Krishna Gurugubelli, Anil Kumar Vuppala:
Analytic phase features for dysarthric speech detection and intelligibility assessment. Speech Commun. 121: 1-15 (2020) - [j18]Krishna Gurugubelli, Anil Kumar Vuppala, N. P. Narendra, Paavo Alku:
Duration of the rhotic approximant /ɹ/ in spastic dysarthria of different severity levels. Speech Commun. 125: 61-68 (2020) - 2019
- [j17]K. N. R. K. Raju Alluri, Anil Kumar Vuppala:
Replay spoofing countermeasures using high spectro-temporal resolution features. Int. J. Speech Technol. 22(1): 271-281 (2019) - [j16]Vishnu Vidyadhara Raju Vegesna, Krishna Gurugubelli, Anil Kumar Vuppala:
Application of Emotion Recognition and Modification for Emotional Telugu Speech Recognition. Mob. Networks Appl. 24(1): 193-201 (2019) - [j15]Krishna Gurugubelli, Anil Kumar Vuppala:
Stable Implementation of Zero Frequency Filtering of Speech Signals for Efficient Epoch Extraction. IEEE Signal Process. Lett. 26(9): 1310-1314 (2019) - 2018
- [j14]Ramakrishna Thirumuru, Anil Kumar Vuppala:
Automatic Detection of Retroflex Approximants in a Continuous Tamil Speech. Circuits Syst. Signal Process. 37(7): 2837-2851 (2018) - [j13]Ravi Kumar Vuddagiri, Hari Krishna Vydana, Anil Kumar Vuppala:
Curriculum learning based approach for noise robust language identification using DNN with attention. Expert Syst. Appl. 110: 290-297 (2018) - [j12]Ramakrishna Thirumuru, Anil Kumar Vuppala:
Application of non-negative frequency-weighted energy operator for vowel region detection. Int. J. Speech Technol. 21(2): 279-291 (2018) - [j11]Mounika Kamsali Veera, Ravi Kumar Vuddagiri, Suryakanth V. Gangashetty, Anil Kumar Vuppala:
Combining evidences from excitation source and vocal tract system features for Indian language identification using deep neural networks. Int. J. Speech Technol. 21(3): 501-508 (2018) - [j10]Vishnu Vidyadhara Raju Vegesna, Krishna Gurugubelli, Anil Kumar Vuppala:
Prosody modification for speech recognition in emotionally mismatched conditions. Int. J. Speech Technol. 21(3): 521-532 (2018) - [j9]Ramakrishna Thirumuru, Suryakanth V. Gangashetty, Anil Kumar Vuppala:
Improved vowel region detection from a continuous speech using post processing of vowel onset points and vowel end-points. Multim. Tools Appl. 77(4): 4753-4767 (2018) - 2016
- [j8]Hari Krishna Vydana, Sudarsana Reddy Kadiri, Anil Kumar Vuppala:
Vowel-Based Non-uniform Prosody Modification for Emotion Conversion. Circuits Syst. Signal Process. 35(5): 1643-1663 (2016) - 2014
- [j7]Anil Kumar Vuppala, Peri Bhaskararao:
Automatic detection of breathy voiced vowels in Gujarati speech. Int. J. Speech Technol. 17(1): 75-82 (2014) - 2013
- [j6]Anil Kumar Vuppala, K. Sreenivasa Rao:
Vowel onset point detection for noisy speech using spectral energy at formant frequencies. Int. J. Speech Technol. 16(2): 229-235 (2013) - [j5]K. Sreenivasa Rao, Anil Kumar Vuppala:
Non-uniform time scale modification using instants of significant excitation and vowel onset points. Speech Commun. 55(6): 745-756 (2013) - 2012
- [j4]Anil Kumar Vuppala, K. Sreenivasa Rao, Saswat Chakrabarti:
Spotting and Recognition of Consonant-Vowel Units from Continuous Speech Using Accurate Detection of Vowel Onset Points. Circuits Syst. Signal Process. 31(4): 1459-1474 (2012) - [j3]Krothapalli Sreenivasa Rao, Jaynath Yadav, Sourjya Sarkar, Shashidhar G. Koolagudi, Anil Kumar Vuppala:
Neural network based feature transformation for emotion independent speaker identification. Int. J. Speech Technol. 15(3): 335-349 (2012) - [j2]Anil Kumar Vuppala, Jainath Yadav, Saswat Chakrabarti, K. Sreenivasa Rao:
Vowel Onset Point Detection for Low Bit Rate Coded Speech. IEEE Trans. Speech Audio Process. 20(6): 1894-1903 (2012) - 2011
- [j1]Anil Kumar Vuppala, K. Sreenivasa Rao, Saswat Chakrabarti, P. Krishnamoorthy, S. R. M. Prasanna:
Recognition of consonant-vowel (CV) units under background noise using combined temporal and spectral preprocessing. Int. J. Speech Technol. 14(3): 259 (2011)
Conference and Workshop Papers
- 2023
- [c59]Kowshik Siva Sai Motepalli, Vamshiraghusimha Narasinga, Harsha Pathuri, Hina Khan, Sangeetha Mahesh, Ajish K. Abraham, Anil Kumar Vuppala:
Stuttering Detection Application. INTERSPEECH 2023: 680-681 - [c58]Shelly Jain, Priyanshi Pal, Anil Kumar Vuppala, Prasanta Kumar Ghosh, Chiranjeevi Yarra:
An Investigation of Indian Native Language Phonemic Influences on L2 English Pronunciations. INTERSPEECH 2023: 2608-2612 - [c57]Shaarada D. Yamini, Mirishkar Sai Ganesh, Anil Kumar Vuppala, Suresh Purini:
Hardware Accelerator for Transformer based End-to-End Automatic Speech Recognition System. IPDPS Workshops 2023: 93-100 - [c56]Vamshi Raghu Simha Narasinga, Mirishkar Sai Ganesh, Anil Kumar Vuppala:
Enhancing Stutter Detection in Speech Using Zero Time Windowing Cepstral Coefficients and Phase Information. SPECOM (1) 2023: 130-141 - [c55]Shivang Gupta, Kowshik Siva Sai Motepalli, Ravi Kumar, Vamshi Raghu Simha Narasinga, Mirishkar Sai Ganesh, Anil Kumar Vuppala:
Enhancing Language Identification in Indian Context Through Exploiting Learned Features with Wav2Vec2.0. SPECOM (2) 2023: 503-512 - 2022
- [c54]Syed Abdul Jabbar, Purva Sharma, Krishna Gurugubelli, Syed Azeemuddin, Anil Kumar Vuppala:
Implementation of Zero-Phase Zero Frequency Resonator Algorithm on FPGA. IC3 2022: 49-53 - [c53]Aditya Yadavalli, Shelly Jain, Ganesh Mirishkar, Anil Kumar Vuppala:
Investigation of Subword-Based Bilingual Automatic Speech Recognition for Indian Languages. IC3 2022: 234-241 - [c52]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 - [c51]Utkarsh Mehrotra, Sparsh Garg, Krishna Gurugubelli, Anil Kumar Vuppala:
Towards improving Disfluency Detection from Speech using Shifted Delta Cepstral Coefficients. IC3 2022: 350-355 - [c50]Aditya Yadavalli, Mirishkar Sai Ganesh, Anil Kumar Vuppala:
Multi-Task End-to-End Model for Telugu Dialect and Speech Recognition. INTERSPEECH 2022: 1387-1391 - [c49]Aditya Yadavalli, Mirishkar Sai Ganesh, Anil Kumar Vuppala:
Exploring the Effect of Dialect Mismatched Language Models in Telugu Automatic Speech Recognition. NAACL-HLT (Student Research Workshop) 2022: 292-301 - [c48]Shelly Jain, Aditya Yadavalli, Ganesh Mirishkar, Anil Kumar Vuppala:
How do Phonological Properties Affect Bilingual Automatic Speech Recognition? SLT 2022: 763-770 - [c47]Nayan Anand Vats, Purva Barche, Mirishkar Sai Ganesh, Anil Kumar Vuppala:
Exploring High Spectro-Temporal Resolution for Alzheimer's Dementia Detection. SPCOM 2022: 1-5 - 2021
- [c46]Mirishkar Sai Ganesh, Vishnu Vidyadhara Raju Vegesna, Meher Dinesh Naroju, Sudhamay Maity, Prakash Yalla, Anil Kumar Vuppala:
CSTD-Telugu Corpus: Crowd-Sourced Approach for Large-Scale Speech data collection. APSIPA ASC 2021: 511-517 - [c45]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 - [c44]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 - [c43]Anil Kumar Vuppala, Prakash Yalla, Mirishkar Sai Ganesh, Vishnu Vidyadhara Raju Vegesna:
Outcomes of Speech to Speech Translation for Broadcast Speeches and Crowd Source Based Speech Data Collection Pilot Projects. BDA 2021: 341-354 - [c42]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 - [c41]Purva Barche, Krishna Gurugubelli, Anil Kumar Vuppala:
Comparative Study of Different Epoch Extraction Methods for Speech Associated with Voice Disorders. ICASSP 2021: 6923-6927 - [c40]Shelly Jain, Aditya Yadavalli, Ganesh Mirishkar, Chiranjeevi Yarra, Anil Kumar Vuppala:
IE-CPS Lexicon: An Automatic Speech Recognition Oriented Indian-English Pronunciation Dictionary. ICON 2021: 195-204 - [c39]Ganesh Mirishkar, Aditya Yadavalli, Anil Kumar Vuppala:
An Investigation of Hybrid architectures for Low Resource Multilingual Speech Recognition system in Indian context. ICON 2021: 205-212 - [c38]Bipasha Sen, Aditya Agarwal, Mirishkar Sai Ganesh, Anil Kumar Vuppala:
Reed: An Approach Towards Quickly Bootstrapping Multilingual Acoustic Models. SLT 2021: 272-279 - 2020
- [c37]Mohammad Hashim Javid, Krishna Gurugubelli, Anil Kumar Vuppala:
Single Frequency Filter Bank Based Long-Term Average Spectra for Hypernasality Detection and Assessment in Cleft Lip and Palate Speech. ICASSP 2020: 6754-6758 - [c36]Purva Barche, Krishna Gurugubelli, Anil Kumar Vuppala:
Towards Automatic Assessment of Voice Disorders: A Clinical Approach. INTERSPEECH 2020: 2537-2541 - [c35]Priyam Jain, Krishna Gurugubelli, Anil Kumar Vuppala:
Study on the Effect of Emotional Speech on Language Identification. NCC 2020: 1-6 - [c34]Priyam Jain, Krishna Gurugubelli, Anil Kumar Vuppala:
Towards Emotion Independent Language Identification System. SPCOM 2020: 1-5 - 2019
- [c33]Tirusha Mandava, Ravi Kumar Vuddagiri, Hari Krishna Vydana, Anil Kumar Vuppala:
An Investigation of LSTM-CTC based Joint Acoustic Model for Indian Language Identification. ASRU 2019: 389-396 - [c32]Tirusha Mandava, Anil Kumar Vuppala:
Attention based Residual-Time Delay Neural Network for Indian Language Identification. IC3 2019: 1-5 - [c31]Ravi Kumar Vuddagiri, Tirusha Mandava, Hari Krishna Vydana, Anil Kumar Vuppala:
Multi-Head Self-Attention Networks for Language Identification. IC3 2019: 1-5 - [c30]Krishna Gurugubelli, Anil Kumar Vuppala:
Perceptually Enhanced Single Frequency Filtering for Dysarthric Speech Detection and Intelligibility Assessment. ICASSP 2019: 6410-6414 - [c29]K. N. R. K. Raju Alluri, Anil Kumar Vuppala:
IIIT-H Spoofing Countermeasures for Automatic Speaker Verification Spoofing and Countermeasures Challenge 2019. INTERSPEECH 2019: 1043-1047 - [c28]Pablo Pérez Zarazaga, Sneha Das, Tom Bäckström, Vishnu Vidyadhara Raju Vegesna, Anil Kumar Vuppala:
Sound Privacy: A Conversational Speech Corpus for Quantifying the Experience of Privacy. INTERSPEECH 2019: 3720-3724 - [c27]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
- [c26]Hari Krishna Vydana, Krishna Gurugubelli, Vishnu Vidyadhara Raju Vegesna, Anil Kumar Vuppala:
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 - [c25]Ravi Kumar Vuddagiri, Krishna Gurugubelli, Priyam Jain, Hari Krishna Vydana, Anil Kumar Vuppala:
IIITH-ILSC Speech Database for Indain Language Identification. SLTU 2018: 56-60 - [c24]Ramakrishna Thirumuru, Krishna Gurugubelli, Anil Kumar Vuppala:
Automatic Detection of Palatalized Consonants in Kashmiri. SLTU 2018: 117-121 - [c23]Hari Krishna Vydana, Sivanand Achanta, Anil Kumar Vuppala:
Incorporating Speaker Normalizing Capabilities to an End-to-End Speech Recognition System. SLTU 2018: 172-176 - [c22]Ravi Kumar Vuddagiri, Hari Krishna Vydana, Anil Kumar Vuppala:
Improved Language Identification Using Stacked SDC Features and Residual Neural Network. SLTU 2018: 210-214 - [c21]Vishnu Vidyadhara Raju Vegesna, Priyam Jain, Krishna Gurugubelli, Anil Kumar Vuppala:
Emotional Speech Classifier Systems: For Sensitive Assistance to support Disabled Individuals. SMM 2018 - 2017
- [c20]Vishnu Vidyadhara Raju Vegesna, Hari Krishna Vydana, Suryakanth V. Gangashetty, Anil Kumar Vuppala:
Importance of non-uniform prosody modification for speech recognition in emotion conditions. APSIPA 2017: 573-576 - [c19]Hari Krishna Vydana, Anil Kumar Vuppala:
Residual neural networks for speech recognition. EUSIPCO 2017: 543-547 - [c18]Harika Abburi, K. N. R. K. Raju Alluri, Anil Kumar Vuppala, Manish Shrivastava, Suryakanth V. Gangashetty:
Sentiment analysis using relative prosody features. IC3 2017: 1-5 - [c17]Brij Mohan Lal Srivastava, Hari Krishna Vydana, Anil Kumar Vuppala, Manish Shrivastava:
Significance of neural phonotactic models for large-scale spoken language identification. IJCNN 2017: 2144-2151 - [c16]K. N. R. K. Raju Alluri, Sivanand Achanta, Sudarsana Reddy Kadiri, Suryakanth V. Gangashetty, Anil Kumar Vuppala:
SFF Anti-Spoofer: IIIT-H Submission for Automatic Speaker Verification Spoofing and Countermeasures Challenge 2017. INTERSPEECH 2017: 107-111 - [c15]K. N. R. K. Raju Alluri, Sivanand Achanta, Sudarsana Reddy Kadiri, Suryakanth V. Gangashetty, Anil Kumar Vuppala:
Detection of Replay Attacks Using Single Frequency Filtering Cepstral Coefficients. INTERSPEECH 2017: 2596-2600 - [c14]Vishnu Vidyadhara Raju Vegesna, Krishna Gurugubelli, Hari Krishna Vydana, Bhargav Pulugandla, Manish Shrivastava, Anil Kumar Vuppala:
DNN-HMM Acoustic Modeling for Large Vocabulary Telugu Speech Recognition. MIKE 2017: 189-197 - [c13]Hari Krishna Vydana, Anil Kumar Vuppala:
Investigative study of various activation functions for speech recognition. NCC 2017: 1-5 - 2016
- [c12]Mounika K. V., Sivanand Achanta, Lakshmi H. R., Suryakanth V. Gangashetty, Anil Kumar Vuppala:
An Investigation of Deep Neural Network Architectures for Language Recognition in Indian Languages. INTERSPEECH 2016: 2930-2933 - [c11]Vinay Kumar Mittal, Anil Kumar Vuppala:
Significance of automatic detection of vowel regions for automatic shout detection in continuous speech. ISCSLP 2016: 1-5 - [c10]K. N. R. K. Raju Alluri, Sivanand Achanta, Rajendra Prasath, Suryakanth V. Gangashetty, Anil Kumar Vuppala:
A Study on Text-Independent Speaker Recognition Systems in Emotional Conditions Using Different Pattern Recognition Models. MIKE 2016: 66-73 - [c9]Ramakrishna Thirumuru, Hari Krishna Vydana, Suryakanth V. Gangashetty, Anil Kumar Vuppala:
A Study on Vowel Region Detection from a Continuous Speech. MIKE 2016: 74-82 - 2015
- [c8]Hari Krishna Vydana, Vishnu Vidyadhara Raju Vegesna, Suryakanth V. Gangashetty, Anil Kumar Vuppala:
Significance of Emotionally Significant Regions of Speech for Emotive to Neutral Conversion. MIKE 2015: 287-296 - [c7]Ravi Kumar Vuddagiri, Hari Krishna Vydana, Jiteesh Varma Bhupathiraju, Suryakanth V. Gangashetty, Anil Kumar Vuppala:
Improved Language Identification in Presence of Speech Coding. MIKE 2015: 312-322 - 2014
- [c6]Anil Kumar Vuppala:
Application of Zero-Frequency Filtering for Vowel Onset Point Detection. MIKE 2014: 172-177 - 2013
- [c5]Anil Kumar Vuppala, J. Limmayya, G. Raghavendra:
Neutral Speech to Anger Speech Conversion Using Prosody Modification. MIKE 2013: 383-390 - 2011
- [c4]Anil Kumar Vuppala, K. Sreenivasa Rao, Saswat Chakrabarti:
Effect of Noise on Recognition of Consonant-Vowel (CV) Units. IC3 2011: 191-200 - [c3]Anil Kumar Vuppala, Jainath Yadav, K. Sreenivasa Rao, Saswat Chakrabarti:
Effect of Noise on Vowel Onset Point Detection. IC3 2011: 201-211 - 2010
- [c2]Anil Kumar Vuppala, Saswat Chakrabarti, K. Sreenivasa Rao:
Effect of Speech Coding on Recognition of Consonant-Vowel (CV) Units. IC3 (1) 2010: 284-294 - 2009
- [c1]Shashidhar G. Koolagudi, Sudhamay Maity, Anil Kumar Vuppala, Saswat Chakrabarti, K. Sreenivasa Rao:
IITKGP-SESC: Speech Database for Emotion Analysis. IC3 2009: 485-492
Editorship
- 2015
- [e1]Rajendra Prasath, Anil Kumar Vuppala, T. Kathirvalavakumar:
Mining Intelligence and Knowledge Exploration - Third International Conference, MIKE 2015, Hyderabad, India, December 9-11, 2015, Proceedings. Lecture Notes in Computer Science 9468, Springer 2015, ISBN 978-3-319-26831-6 [contents]
Informal and Other Publications
- 2024
- [i6]Sai Akarsh, Vamshi Raghusimha, Anindita Mondal, Anil Vuppala:
Attempt Towards Stress Transfer in Speech-to-Speech Machine Translation. CoRR abs/2403.04178 (2024) - [i5]Kesavaraj V, Anil Kumar Vuppala:
Open vocabulary keyword spotting through transfer learning from speech synthesis. CoRR abs/2404.03914 (2024) - [i4]Kesavaraj V, Anuprabha M, Anil Kumar Vuppala:
End-to-End User-Defined Keyword Spotting using Shifted Delta Coefficients. CoRR abs/2405.14489 (2024) - 2022
- [i3]Priyanshi Pal, Shelly Jain, Anil Vuppala, Chiranjeevi Yarra, Prasanta Kumar Ghosh:
Study of Indian English Pronunciation Variabilities relative to Received Pronunciation. CoRR abs/2204.06502 (2022) - [i2]Shelly Jain, Priyanshi Pal, Anil Vuppala, Prasanta Kumar Ghosh, Chiranjeevi Yarra:
An Investigation of Indian Native Language Phonemic Influences on L2 English Pronunciations. CoRR abs/2212.09284 (2022) - 2015
- [i1]Brij Mohan Lal Srivastava, Hari Krishna Vydana, Anil Kumar Vuppala, Manish Shrivastava:
A language model based approach towards large scale and lightweight language identification systems. CoRR abs/1510.03602 (2015)
Coauthor Index
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