Some Selected Publications.

Journals:

1. Anuprabha M, Krishna Gurugubelli, and Anil Kumar Vuppala,"Dysarthric Speech Intelligibility Assessment by Custom Keyword Spotting", IEEE Journal of Selected Topics in Signal Processing, 2025.

2. Purva Barche, Krishna Gurugubelli and Anil Kumar Vuppala, "Epoch extraction in real-world scenario", Springer International Journal of Speech Technology, 2024.

3. Purva Barche, Krishna Gurugubelli and Anil Kumar Vuppala, "Stockwell-Transform based feature representation for detection and assessment of voice disorders", Springer International Journal of Speech Technology, 2024.

4. Arhant Jain, Krishna Gurugubelli, Anil Kumar Vuppala and Kavita Vemuri, "Decoding self-automated and motivated Finger Movements using Novel Single-Frequency Filtering method - an EEG study", Elsevier Biomedical Signal Processing & Control, 2021. 

5. Ramakrishna Thirumuru, Krishna Gurugubelli and Anil Kumar Vuppala, “Novel Feature Representation Using Single Frequency Filtering and Nonlinear Energy Operator for Speech Emotion Recognition”, Elsevier Digital Signal Processing, 2021.

6. Krishna Gurugubelli, Anil Kumar Vuppala, N P Narendra, and Paavo Alku, “Duration of the rhotic approximant /ɹ/ in spastic dysarthria of different severity levels”, Speech Communication, vol. 125,  pp. 61–68, 2020.

7. Krishna Gurugubelli, Mohammad Hashim Javid, K N R K Raju Alluri, and Anil Kumar Vuppala, “Towards Improving the Performance of Epoch Extraction From Telephonic Speech”, Springer Circuits Systems and Signal Processing, vol. 40, no.  4, pp. 2050-2064, 2020.

8. Krishna Gurugubelli, and Anil Kumar Vuppala, “Analytic Phase Features for Dysarthric Speech Detection and Intelligibility Assessment”, Speech Communication, vol. 121, pp. 1–15, 2020.

9. Krishna Gurugubelli, and Anil Kumar Vuppala, “Stable Implementation of Zero Frequency Filtering of Speech Signals for Efficient Epoch Extraction”, IEEE Signal Processing Letters, vol. 26, no. 9, pp. 1310–1314, 2019.

10. V. V. Vidyadhara Raju, Krishna Gurugubelli and Anil Kumar Vuppala, “Application of Emotion Recognition and Modification for Emotional Telugu Speech Recognition”, Special issue in Springer Mobile Networks and Applications, vol. 24, issue 1, pp. 193–201, Feb 2019.

Conferences:

1. Krishna Gurugubelli, "Bridging the Perceptual-Statistical Gap in Dysarthria Assessment: Why Machine Learning Still Falls Short." arXiv preprint arXiv:2510.22237 (2025). 

2. Anuprabha M, Krishna Gurugubelli, and Anil Kumar Vuppala,"Fairness in Dysarthric Speech Synthesis: Understanding Intrinsic Bias in Dysarthric Speech Cloning using F5-TTS", INTERSPEECH 2025, Rotterdam.

3. Anuprabha M, Krishna Gurugubelli, and Anil Kumar Vuppala,"A Multi-modal Approach to Dysarthria Detection and Severity Assessment Using Speech and Text Information", IEEE ICASSP 2025, Hyderabad, India. 

4. Krishna Gurugubelli, Sahil Mohamed, and Rajesh Krishna KS, "Comparative Study of Tokenization Algorithms for End-to-End Open Vocabulary Keyword Detection.", IEEE-ICASSP, 2024, Seoul.

5. Syed Abdul Jabbar, Purva Barche, Krishna Gurugubelli, Syed AZEEMUDDIN, and Anil Kumar Vuppala," Stable Implementation of Voice Activity Detector Using Zero-Phase Zero Frequency Resonator on FPGA", IEEE RTC 2023, USA. 

6. Anshul Lahoti, Krishna Gurugubelli, Rafael Orozco, and Anil Kumar Vuppala, "Shifted Delta Cepstral Coefficients with RNN to Improve the Detection of Parkinson's Disease from the Speech", ACM IC3, Noida, 2022.

7. Utkarsh Mehrotra, Sparsh Garg, Krishna Gurugubelli, and Anil Kumar Vuppala, "Towards improving Disfluency Detection from Speech using Shifted Delta Cepstral Coefficients", ACM IC3, Noida, 2022.

8. Syed Abdul Jabbar, Purva Barche, Krishna Gurugubelli, Syed AZEEMUDDIN, and Anil Kumar Vuppala, "Implementation of Zero-Phase Zero Frequency Resonator Algorithm on FPGA", ACM IC3, Noida, 2022.

9. Utkarsh Mehrotra, Sparsh Garg, Krishna Gurugubelli, and Anil Kumar Vuppala, "DETECTING MULTIPLE DISFLUENCIES FROM SPEECH USING PRE-LINGUISTIC AUTOMATIC SYLLABIFICATION WITH ACOUSTIC AND PROSODY FEATURES", 13th IEEE APSIPA, Tokyo, Japan, December 2021.

10. Purva Barche, Krishna Gurugubelli, and Anil Kumar Vuppala, "COMPARATIVE STUDY OF FILTER BANKS TO IMPROVE THE PERFORMANCE OF VOICE DISORDER ASSESSMENT SYSTEMS USING LTAS FEATURES", 13th IEEE APSIPA, Tokyo, Japan, December 2021. 

11. Sparsh Garg, Utkarsh Mehrotra, Krishna Gurugubelli, and Anil Kumar Vuppala, "Transfer Learning based Disfluency Detection using Stuttered Speech", Interspeech 2021 Satellitte workshop on MLSLP2021. 

12. Anshul Lahoti, Krishna Gurugubelli, Rafael Orozco, and Anil Kumar Vuppala,"Long-Term Average Spectral feature based Parkinson’s disease detection from Speech", IEEE MISP, NIT AP, INDIA, 2021.

13. Nayan Vats, Aditya Yadavalli,  Krishna Gurugubelli, and Anil Kumar Vuppala, "Acoustic Features, BERT Model and their Complementary Nature for Alzheimer's Dementia Detection", ACM IC3, August, Noida, 2021.

14. Sparsh Garg, Utkarsh Mehrotra, Krishna Gurugubelli and Anil Kumar Vuppala, “Towards a Database For Detection of Multiple Speech Disfluencies in Indian English”,  NCC, IIT Kanpur, July 2021, India.

15. Purva Barche, Krishna Gurugubelli and Anil Kumar Vuppala, “Comparative study of different epoch extraction methods for speech associated with voice disorders”, In Proceeding of IEEE ICASSP, Canada, 2021 (accepted).

16. Purva Barche, Krishna Gurugubelli and Anil Kumar Vuppala, “Towards automatic assessment of voice disorders: A clinical approach”, In Proceeding of Interspeech, China, 2020.

17. Priyam Jain, Krishna Gurugubelli and Anil Kumar Vuppala, “Towards emotion independent language identification system”, In Proceeding of IEEE SPCOM, IISC Bangalore, July 2020.

18. Mohammad Hashim Javid, Krishna Gurugubelli and Anil Kumar Vuppala, “Single frequency filter bank based long-term average spectra for Hypernasality detection and assessment in cleft lip and palate speech”, In Proceeding of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 2020.

19. Priyam Jain, Krishna Gurugubelli and Anil Kumar Vuppala, “Study on the effect of emotional speech on language identification”, In Proceeding of NCC 2020, IIT Kharagpur, Feb 2020.

20. Vishnu Vidyadhara Raju Vegesna, Krishna Gurugubelli, Sai Ganesh Mirishkar and Anil Kumar Vuppala, “Towards Feature-Space Emotional Speech Adaptation for TDNN based Telugu ASR systems”, In Proceeding of SMM (Satellite workshop in Interspeech), Austria, 2019.

21. Krishna Gurugubelli, and Anil Kumar Vuppala, “Perceptually Enhanced Single Frequency Filtering for Dysarthric Speech Detection and Intelligibility Assessment”, In Proceeding of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, United Kingdom, 2019.

22. Hari Krishna, Krishna Gurugubelli, Vishnu Vidyadhara Raju V and Anil Kumar Vuppala, “An Exploration Towards Joint Acoustic Modeling for Indian Languages: IIIT-H submission for Low Resource Speech Recognition Challenge for Indian languages”, In Proceeding of Interspeech, India, 2018.

23. Ravi Kumar Vuddagiri, Krishna Gurugubelli, Priyam Jain, Hari Krishna Vydana and Anil Kumar Vuppala, “IIITH-ILSC Speech Database for Indian Language Identification”, In Proceeding of 6th workshop on Spoken Language Technologies for Under resourced Languages (Satellite workshop in Interspeech), India, 2018.

24. Ramakrishna Thirumuru, Krishna Gurugubelli and Anil Kumar Vuppala, “Automatic Detection of Palatalized Consonants in Kashmiri”, In Proceeding of 6th workshop on Spoken Language Technologies for Under resourced Languages (Satellite workshop in Interspeech), India, 2018.

25. Krishna Gurugubelli and Anil Kumar Vuppala, “Automatic detection of rhotic approximant regions for the acoustic analysis of dysarthric speech”, Workshop on Speech Processing for Voice, Speech and Hearing Disorders (Satellite workshop in Interspeech), Mysore, India, Sep 2018.

26. Krishna Gurugubelli and Anil Kumar Vuppala, "Excitation Source Analysis of Dysarthric Speech for Early Stage Detection of Dysarthria", Workshop on Speech Processing for Voice, Speech and Hearing Disorders (Satellite workshop in Interspeech), Mysore, India, Sep 2018.

27. Vishnu Vidyadhara Raju Vegesna, Priyam Jain, Krishna Gurugubelli and Anil Kumar Vuppala, "Emotional Speech Classifier Systems: For Sensitive Assistance to support Disabled Individuals", Speech, Music and Mind (Satellite workshop in Interspeech 2018), Hyderabad, India, Sep 2018.

28. Vishnu Vidyadhara Raju Vegesna, Krishna Gurugubelli, Knrk Raju Alluri and Anil Kumar Vuppala, "Differenced Prosody Features from Normal and Stressed Regions for Emotion Recognition", IEEE SPIN, Amity University, Noida, India, Feb 2018.

29. Ramakrishna Thirumuru, Ravi Kumar Vuddagiri, Krishna Gurugubelli and Anil Kumar Vuppala, "Significance of Accuracy in Vowel Region Detection for Robust Language Identification", IEEE SPIN, Amity University, Noida, India, Feb 2018.

30. Vishnu Vidyadhara Raju Vegesna, Krishna Gurugubelli, Harikrishna V, Bhargav Pulugandla, Manish Shrivastava and Anil Kumar Vuppala, ”DNN-HMM Acoustic Modeling For Large Vocabulary Telugu Speech Recognition”, In Proceeding of MIKE, India, 2017.

Book chapters:

1. Ravi Kumar Vuddagiri, Krishna Gurugubelli, Ramakrishna Thirumuru and Anil Kumar Vuppala, "Study of Robust Language Identification Techniques for the Future Smart Cities",  Advances in Ubiquitous Computing, Academic Press, pp. 163–183, 2020.