Publications

Google Scholar Profile

Journals:

• 1.  Ganesh Mirishkar, Vishnu Vidyadhara Raju V, Meher Dinesh Naroju, Sudhamay Maity, Prakash Yalla, and Anil Kumar Vuppala, "IIITH-CSTD corpus: Crowd-sourced strategies for the collection of a large scale Telugu speech corpus", ACM Transactions on Asian and Low-Resource Language Information Processing, 2023 (Accepted)

  2. 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 as a Research Paper, 2021. (Accepted)

  3. Ramakrishna Thirumuru, Krishna Gurugubelli and Anil kumar Vuppala, "Novel Feature Representation Using Single Frequency Filtering and Nonlinear Energy Operator for Speech Emotion Recognition", Accepted in  Elsevier Digital Signal Processing, 2021.

  4. Krishna Gurugubelli, Anil Kumar Vuppala, N P Narendra and Paavo Alku ,"Duration of the rhotic approximant /ɹ/ in spastic dysarthria of different severity levels", Accepted in Elsevier Speech communication, 2020.

  5. Hari Krishna Vydana and Anil Kumar Vuppala,"Detection of Fricative Landmarks Using Spectral Weighting: A  Temporal Approach" , Accepted in Springer Circuits, systems and signal processing, 2020.

  6. Krishna Gurugubelli, Hashim Javid Mohammad; K N R K Raju Alluri and Anil Kumar Vuppala, "Towards Improving the Performance of Epoch Extraction From Telephonic Speech", Accepted in Springer Circuits, systems and signal processing.

  7. Krishna Gurugubelli and Anil Kumar Vuppala, “Analytic Phase Features for Dysarthric Speech Detection and Intelligibility Assessment",  Elsevier Speech communication, Vol 121, 2020.

  8. 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, issue 9, 2019.

  9. K N R K Raju Alluri and Anil Kumar Vuppala,"Replay Spoofing Countermeasures Using High Spectro-Temporal Resolution Features",  Special issue in Springer Speech Technology, vol 22, Issue 1, pp 271-281, March 2019.

  10. Ravi Kumar V, Hari Krishna Vydana and Anil Kumar Vuppala "Curriculum Learning Based Approach for Noise Robust Language Identification using DNN With Attention" ,Elsevier Expert Systems with Applications, Volume 110, pp 290-297, Nov 2018.

  11. 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.

  12. Ramakrishna Thirumuru and Anil Kumar Vuppala, "Application of non-negative frequency-weighted energy operator for vowel region detection", Springer International Journal of Speech Technology, Volume: 21, No. 2, pp. 279-291, 2018.

  13. Vishnu Vidyadhara Raju Vegesna, Krishna Gurugubelli and Anil Kumar Vuppala, "Prosody Modification for Speech Recognition in Emotionally Mismatched Conditions", Special issue in Springer Speech Technology, vol 21, no 3, pp 521-532, 2018.

  14. Mounika K V, Ravi Kumar V, Suryakanth V Gangashetty and Anil Kumar Vuppala, "Combining Evidences from Excitation Source and Vocal Tract System Features for Indian Language Identification Using Deep Neural Networks", Special issue in Springer Speech Technology, vol 21, no 3, pp 501-508, 2018.. 

  15. Ramakrishna Thirumuru and Anil Kumar Vuppala, "Automatic detection of retroflex approximants in a continuous Tamil speech", Springer Circuits, systems and signal processing, Volume 37, No.7, pp. 2837-2851, 2018.

  16. Ramakrishna Thirumuru, Suryakanth Gangashetty and Anil Kumar Vuppala, "Improved vowel region detection from a continuous speech using post processing of vowel onset points and vowel end-points", Springer Multimedia tools and applications, Vol 77,no 4, pp 4753–4767, Feb 2018.

  17. Hari Krishna Vydana and Anil Kumar Vuppala, "Detection of Fricatives using S-Transform", Journal of the Acoustical Society of America (JASA), Vol 140, no.5, 2016.

  18. Hari Krishna Vydana, Sudarsan Reddy Kadiri and Anil Kumar Vuppala, "Vowel-Based Non-Uniform Prosody Modification for Emotion Conversion", Springer Circuits, systems and signal processing, Volume 35, No.5, pp.1643-1663, 2016.

  19. Anil Kumar Vuppala, Peri Bhaskararao, "Automatic Detection of Breathy Voiced Vowels in Gujarati Speech" Springer International Journal of Speech Technology, vol 17, no 1, pp 75-82, 2014.

  20. K. Sreenivasa Rao, Anil Kumar Vuppala, “Non-Uniform Time Scale Modification Using Instants of Significant Excitation and Vowel Onset Points ", Elsevier Speech communication. vol. 55, No 6, pp. 745-756, 2013.

  21. Anil Kumar Vuppala, K. Sreenivasa Rao "Vowel Onset Point Detection for Noisy Speech using Spectral Energy at Formant Frequencies" Springer International Journal of Speech Technology, Vol. 16, No. 2, pp 229-235, 2013.

  22. Anil Kumar Vuppala, K. Sreenivasa Rao "Speaker Identification under Background Noise using Features Extracted from Steady Vowel Regions" Wiley International Journal of Adaptive control and Signal processing, Vol 29, No. 9, pp. 781-792, sep 13.

  23. K. Sreenivasa Rao, Jainath Yadav, Sourjya Sarkar, Shashidhar G Koolagudi, and  Anil Kumar Vuppala, “Neural Network based Feature Transformation for Emotion Independent Speaker Identification", Springer International Journal of Speech Technology, Vol. 15, No. 3, pp. 335-349, 2012. (DOI: 10.1007/s10772-012-9148-2)

  24. Anil Kumar Vuppala, Jainath Yadav, K. Sreenivasa Rao and Saswat Chakrabarti, “Vowel Onset Point Detection for Low Bit Rate Coded Speech", IEEE Transactions on Audio, Speech and Language Processing, Vol. 20, No. 6, pp. 1894-1903, Aug. 2012. (DOI 10.1109/TASL.2012.2191284 ) 

  25. Anil Kumar Vuppala, K. Sreenivasa Rao and Saswat Chakrabarti, “ Improved Vowel Onset Point Detection using Epoch Intervals", Elsevier  AEUE - International Journal of Electronics and Communications, Volume 66, Issue 8, pp. 697–700, Aug 2012. (DOI 10.1016/j.aeue.2011.12.013) Impact factor 0.519

  26. Anil Kumar Vuppala, K. Sreenivasa Rao and Saswat Chakrabarti, “Spotting and Recognition of Consonant-Vowel Units from Continuous Speech using Accurate Vowel Onset Points", Springer Circuits, systems and signal processing, Volume 31, No.4, pp.1459-1474, 2012. (DOI: 10.1007/s00034-012-9391-4)

  27. Anil Kumar Vuppala, K. Sreenivasa Rao and Saswat Chakrabarti, “Improved consonant–vowel recognition for low bit-rate coded speech", Wiley International Journal of Adaptive control and Signal processing,Vol 26, Issue 4, pp. 333-349, April 2012. (DOI 10.1002/acs.1286)

  28. Anil Kumar Vuppala, K. Sreenivasa Rao and Saswat Chakrabarti, “Improved Speaker Identification in Wireless Environment", International Journal of Signal and Imaging Systems Engineering, Vol 6, No. 3, pp. 130-137, 2013.

  29. Anil Kumar Vuppala, K. Sreenivasa Rao, Saswat Chakrabarti, P Krishnamoorthy, and S R M Prasanna “ Recognition of Consonant-Vowel (CV) Units under Background Noise using Combined Temporal and Spectral Preprocessing", Springer International Journal of Speech Technology, Vol. 14, No.3, pp. 259-272, 2011. (DOI 10.1007/s10772-011-9101-9)

Conference Proceedings: 

• 1. Kesavaraj V and Anil Kumar Vuppala, "Open Vocabulary Keyword Spotting through Transfer Learning from Speech Synthesis", IEEE SPCOM, IISC, India August 2024.

  2. Narasinga Vamshi Raghu Simha, Hina Fathima, Kowshik Motepalli, Sangeetha Mahesh, Sai Akarsh C, Purva Barche, Sai Ganesh Mirishkar, Ajish Abraham, and Anil Kumar Vuppala, "Enhancing Stuttering Detection: A Syllable-Level Stutter Dataset", IEEE SPCOM, IISC, India August 2024.

  3. Sai Akarsh C, Narasinga Vamshi Raghu Simha, Anindita Mondal, and Anil Kumar Vuppala, "Attempt Towards Stress Transfer in Speech-to-Speech Machine Translation", IEEE SPCOM, IISC, India August 2024.

  4. Monica Ponnam, Purva Barche, and Anil Kumar Vuppala, "Automatic Detection of Parkinson's Disease using Zero-Time Window based cepstral Feature", IEEE INDICON, 2023. 

  5. Kowshik Siva Sai Motepalli, Shivang Gupta, Narasinga Vamshiraghusimha, Ravi Kumar, Mirishkar Sai Ganesh  and Anil Kumar Vuppala, "Enhancing Language Identification in Indian Context through Exploiting Learned Features with Wav2Vec2.0", SPECOM, Hubli-IIT Dharwad, India, 2023.

  6. Narasinga Vamshi Raghu Simha, Mirishkar Sai Ganesh and Anil Kumar Vuppala, " Enhancing Stutter Detection in Speech using Zero Time Windowing Cepstral Coefficients and Phase Information", SPECOM, Hubli-IIT Dharwad, India, 2023.

  7. Priyanshi Pal, Shelly Jain, Anil Kumar Vuppala, Prasanta Ghosh, and Chiranjeevi Yarra, "Study of Indian English Pronunciation variabilities relative to Received Pronunciation", SPECOM, Hubli-IIT Dharwad, India, 2023.

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

  9. Shelly Jain, Priyanshi Pal, Anil Kumar Vuppala, Prasanta Ghosh, and Chiranjeevi Yarra,"An Investigation of Indian Native Language Phonemic Influences on L2 English Pronunciations", INTERSPEECH 2023, Dublin, Irland. 

  10. Kowshik Motepalli, Vamshiraghusimha narasinga, Harsha Pathuri, Hina Fathima Fazal Khan, Sangeetha mahesh, Ajish Abraham, and Anil Kumar Vuppala, "Stuttering Detection Application",  Show and Tell, INTERSPEECH 2023, Dublin, Irland.

  11. 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.

  12. Shelly Jain, Aditya Yadavalli, Ganesh Mirishkar and Anil Kumar Vuppala, "How Do Phonological Properties Affect Bilingual Automatic Speech Recognition?", SLT 2023, Doha Qatar, 2023. 

  13. Aditya Yadavalli, Ganesh S Mirishkar, and Anil Kumar Vuppala, “Multi-Task End-to-End Model for Telugu Dialect and Speech Recognition", INTERSPEECH 2022, Songdo ConvensiA, Incheon, South Korea.

  14. Nayan Vats, Purva Barche, Ganesh S Mirishkar, and Anil Kumar Vuppala,"Exploring High Spectro-Temporal Resolution for Alzheimer's Dementia Detection", IEEE SPCOM 2022, IISC Bangalore, India.

  15. Aditya Yadavalli, Ganesh S Mirishkar, and Anil Kumar Vuppala, “Exploring the Effect of Dialect Mismatched Language Models in Telugu Automatic Speech Recognition”, in Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): Student Research Workshop (SRW), Association for Computational Linguistics (ACL), July 2022.

  16. Aditya Yadavalli, Shelly Jain, S Mirishkar, and Anil Kumar Vuppala, “An Investigation of Subword-Based Bilingual Automatic Speech Recognition for Indian Languages", ACM IC3, Noida, 2022.

  17. 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.

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

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

  20. Anil Kumar Vuppala, Prakash Yalla, Ganesh S Mirishkar and Vishnu Vidyadhara Raju V, "Outcomes of Speech to SPeech translation for broadcast speeches and crowd source based speech data collection piolt projects", 9th Springer BDA conference, December 2021.

  21. Shelly Jain, Aditya Yadavalli, Ganesh Sai Mirishkar, Chiranjeevi Yarra, and Anil Kumar Vuppala,"IE-CPS Lexicon: An Automatic Speech Recognition Oriented Indian-English Pronunciation Dictionary", 18th ICON, NIT Silchar, December 2021.

  22. Ganesh S Mirishkar, Aditya Yadavalli, and Anil Kumar Vuppala,"An Investigation of Hybrid architectures for Low Resource Multilingual Speech Recognition system in Indian context", 18th ICON, NIT Silchar, December 2021.

  23. Ganesh S Mirishkar, Vishnu Vidyadhara Raju V, Meher Dinesh Naroju, Sudhamay Maity, Prakash Yalla, and Anil Kumar Vuppala, "CSTD-Telugu Corpus: Crowd-Sourced Approach for Large-Scale Speech data collection", 13th IEEE APSIPA, Tokyo, Japan, December 2021.

  24. Utkarsh Mehrotra, Sparsh Garg, Gurugubelli Krishna, 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.

  25. 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.

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

  27. 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.

  28. 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.

  29. 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.

  30. Purva Barche, Krishna Gurugubelli and Anil Kumar Vuppala, "COMPARATIVE STUDY OF DIFFERENT EPOCH EXTRACTION METHODS FOR SPEECH ASSOCIATED WITH VOICE DISORDERS", IEEE ICASSP, Canada June, 2021.

  31. Shubhangi Gautam, Krishna Gurugubelli, Anil Kumar Vuppala and Kavita Vemuri, "Investigating Differences in the Default Mode Network in Empathy-Related Stimuli vs Resting State by a Time-Frequency Analysis Method", ACCS7, Online.

  32. Sai Ganesh Mirishkar, Vandan Mujadia, Dipti Misra Sharma and Anil Kumar Vuppala, "INDICAP: A Multilingual Speech Translation Application", Accepted in Demo session of SLT 2021, Shenzhen, China, 2021.

  33. Bipasha Sen, Aditya Agarwal, Mirishkar Ganesh, and Anil  Kumar Vuppala, "REED: AN APPROACH TOWARDS QUICKLY BOOTSTRAPPING MULTILINGUAL ACOUSTIC MODELS", SLT 2021, Shenzhen, China, 2021.

  34. Purva Barche, Krishna Gurugubelli and Anil Kumar Vuppala, "Towards automatic assessment of voice disorders: A clinical approach", Interspeech, China, Oct, 2020.

  35. Priyam Jain, Krishna Gurugubelli and Anil Kumar Vuppala,"Towards Emotion Independent Language Identification System", IEEE SPCOM, IISC Bangalore, July 2020.

  36. Hashim Javid Mohammad, 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", IEEE ICASSP, Barcelona, Spain, May 2020.

  37. Priyam Jain, Krishna Gurugubelli and Anil Kumar Vuppala,"Study on the Effect of Emotional Speech on Language Identification", NCC 2020, IIT Kharagpur, Feb, 2020.

  38. Tirusha Mandava, Ravi Kumar Vuddagiri, Hari Krishna Vydana, Anil Kumar Vuppala, "AN INVESTIGATION OF LSTM-CTC BASED JOINT ACOUSTIC MODEL FOR INDIAN LANGUAGE IDENTIFICATION", IEEE ASRU, Singapore, Dec, 2019.

  39. KNRK Raju Alluri and Anil Kumar Vuppala,  "IIIT-H spoofing Countermeasures for Automatic Speaker Verification Spoofing and Countermeasures Challenge 2019", Interspeech, Austria, sept,  2019.

  40. 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", SMM (Satellite workshop in Interspeech 2019), Vienna, Austria, sep 2019.

  41. Pablo Pérez Zarazaga, sneha das, Tom Bäckström,  Vishnu Vidyadhara Raju V, and Anil Kumar Vuppala, "Sound Privacy: A Conversational Speech Corpus for Quantifying the Experience of Privacy", Interspeech,  Austria, Sept, 2019.

  42. Ravi Kumar Vuddagiri, Tirusha Mandava, and Anil Kumar Vuppala, "Multi-Head Self-Attention Networks for Language Identification", IEEE IC3 Noida,  August 2019.

  43. Tirusha Mandava, and Anil Kumar Vuppala," Attention based Residual-Time Dealy Neural Network for Indian Language Identification", IEEE IC3 Noida,  August 2019.

  44. Krishna Gurugubelli and Anil Kumar Vuppala, "Perceptually Enhanced Single Frequency Filtering for Dysarthric Speech Detection and Intelligibility Assessment", ICASSP 2019, Brighton, UK, May 2019.

  45. Ravi Kumar Vuddagiri, Hari Krishna Vydana, and Anil Kumar Vuppala, "Improved Language Identification using Stacked SDC Features and Residual Neural Network", 6th workshop on Spoken Language Technologies for Under resourced Languages SLTU 2018, (Satellite workshop in Interspeech 2018) India, Aug 2018. 

  46. Ravi Kumar Vuddagiri, Krishna Gurugubelli, Priyam Jain, Hari Krishna Vydana and Anil Kumar Vuppala, "IIITH-ILSC Speech Database for Indian Language Identification", 6th workshop on Spoken Language Technologies for Under resourced Languages SLTU 2018, (Satellite workshop in Interspeech 2018) India, Aug 2018. 

  47. Hari Krishna, Sivanand Achanta and Anil Kumar Vuppala, "Incorporating Speaker Normalizing Capabilities to an End-to-End Speech Recognition System", 6th workshop on Spoken Language Technologies for Under resourced Languages SLTU 2018, (Satellite workshop in Interspeech 2018) India, Aug 2018. 

  48. Ramakrishna Thirumuru, Krishna Gurugubelli and Anil Kumar Vuppala, "Automatic Detection of Palatalized Consonants in Kashmiri", 6th workshop on Spoken Language Technologies for Under resourced Languages SLTU 2018, (Satellite workshop in Interspeech 2018) India, Aug 2018. 

  49. 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, WSPD 2018, (Satellite workshop in Interspeech 2018), Mysore, India, Sep 2018.

  50. 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, WSPD 2018, (Satellite workshop in Interspeech 2018), Mysore, India, Sep 2018.

  51. 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 (SMM) 2018 (Satellite workshop in Interspeech 2018), Hyderabad, India, Sep 2018.

  52. 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", Interspeech 2018, Hyderabad, India, Sep 2018.

  53. 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 2018, Amity University, Noida, India, Feb 2018.

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

  55. Vishnu Vidyadhara Raju Vegesna, Krishna Gurugubelli, Harikrishna Vydana, Bhargav Pulugandla, Manish Shrivastava and Anil Kumar Vuppala, "DNN-HMM Acoustic Modeling For Large Vocabulary Telugu Speech Recognition", Springer LNAI, MIKE 2017, IDRBT Hyderabad, India, DEC 2017.

  56. Vidyadhara Raju V, Hari Krishna Vydana, Suryakanth V Gangashetty and Anil Kumar Vuppala, "Importance of Non-Uniform Prosody Modification for Speech Recognition in Emotion Conditions", IEEE APSIPA ASC 2017, Kuala Lampur, Malaysia, DEC 2017.

  57. Harika Abburi, K N R K Raju Alluri, Anil Kumar Vuppala, Manish Shrivastava, and Suryakanth V Gangashetty, "Sentiment Analysis using Relative Prosody Features", IEEE IC3 2017, Noida, August 2017.

  58. Hari Krishna Vydana and Anil Kumar Vuppala, "Residual Neural Networks for Speech Recognition", EUSIPCO 2017,Kos Island, Greece, Aug 2017.

  59. K N R K Raju Alluri, Sivanand Achanta, Sudarsana Reddy Kadiri, Suryakanth V Gangashetty and Anil Kumar Vuppala, "SFF Anti-Spoofer: IIIT-H Submission for Automatic Speaker Verification Spoofing and Countermeasures Challenge 2017", Interspeech 2017, Stockholm, Sweden, August 2017.

  60. K N R K Raju Alluri, Sivanand Achanta, Sudarsana Reddy Kadiri, Suryakanth V Gangashetty and Anil Kumar Vuppala, "Detection of Replay Attacks using Single Frequency Filtering Cepstral Coefficients", Interspeech 2017, Stockholm, Sweden, August 2017.

  61. Brij Mohan Lal Srivastava, Hari Krishna Vydana, Anil Kumar Vuppala and Manish Shrivastava, "Significance of neural phonotactic models for large-scale spoken language identification", IJCNN, Alaska USA, May 2017.

  62. Hari Krishna Vydana and Anil Kumar Vuppala, "Investigative Study of Various Activation Functions for Speech Recognition", NCC 2017, IIT Madras, March 2017.

  63. Hari Krishna, Brij Mohan Lal Srivastava, Manish Shrivastava and Anil Kumar Vuppala, "Starting Small Learning Strategies for Speech Recognition", IEEE INDICON, IISC Bangalore, Dec 2016.

  64. Ramakrishna Thirumuru, Hari Krishna, Suryakanth Gangashetty and Anil Kumar Vuppala, "A study on vowel region detection from a continuous speech", Springer LNAI, MIKE 2016, PIN, Mexico, Nov 2016. 

  65. KNRK Raju Alluri, Sivanand Achanta, Rajendra Prasth, Suryakanth V Gangashetty and Anil Kumar Vuppala, "A Study on Text-Independent Speaker Recognition Systems in Emotional Conditions Using Different Pattern Recognition Models", Springer LNAI, MIKE 2016, PIN, Mexico, Nov 2016. 

  66. Vidyadhara Raju V. V, Gangamohan P, Suryakanth V Gangashetty and Anil Kumar Vuppala, "Application of prosody modification for SpeechRecognition in different Emotion conditions", IEEE TENCON 2016, Singapore, Nov 2016.

  67. KNRK Raju Alluri, Vidyadhara Raju V. V, Suryakanth V Gangashetty and Anil Kumar Vuppala, "Analysis of Source and System Features for Speaker Recognition in Emotional Conditions", IEEE TENCON 2016, Singapore, Nov 2016.

  68. Vinay Mittal and Anil Kumar Vuppala, "Significance of Automatic Detection of Vowel Regions for Automatic Shout Detection in Continuous Speech", IEEE ISCSLP, Tianjin, Chaina October 2016. 

  69. Mounika K V, Sivanand Achanta, Lakshmi H R, Suryakanth V Gangashetty and Anil Kumar Vuppala, "An Investigation of Deep Neural Network Architectures for Language Recognition in Indian Languages" Interspeech 2016, USA, Sep 2016. 

  70. Vinay Mittal and Anil Kumar Vuppala, "Changes in Shout Features in Automatically Detected Vowel Regions", IEEE SPCOM, IISC Bangalore, June 2016.

  71. Ravi Kumar V, Hari Krishna Vydana, Jiteesh Varma Bhupathiraju, Suryakanth V Gangashetty and Anil Kumar Vuppala, "Improved Language Identification in Presence of Speech Coding", Springer LNAI, MIKE 2015, IIIT Hyderabad, Dec 2015. 

  72. Hari Krishna Vydana, Vidyadhara Raju V, Suryakanth V Gangashetty and Anil Kumar Vuppala, "Significance of Emotionally Significant Regions of Speech for Emotive to Neutral Conversion", Springer LNAI, MIKE 2015, IIIT Hyderabad, Dec 2015. 

  73. Sri Harsha Dumpala, KNRK Alluri, Suryakanth V Gangashetty and Anil Kumar Vuppala, "Analysis of Constraints on Segmental DTW for the Task of Query-by-Example Spoken Term Detection", 12th IEEE INDICON, New Delhi, Dec 2015.

  74. Hari Krishna Vydana, Peddakota Vikash, Tallam Vamsi, Kolla Kumar and Anil Kumar Vuppala, "Detection of Emotionally Significant Regions of Speech For Emotion Recognition", 12th IEEE INDICON, New Delhi, Dec 2015.

  75. Ravi Kumar V, Hari Krishna Vydana and Anil Kumar Vuppala,"Significance of GMM-UBM based Modelling for Indian Language Identification", Eleventh International Multi-Conference on Information Processing-2015 (IMCIP-2015), Bangalore, Aug 2015.

  76. Anil Kumar Vuppala, Mounika.K.V, Hari Krishna Vydana, "Significance of Speech Enhancement and Sonorant Regions of Speech for Robust Language Identification" IEEE SPICES, NIT Calicut, India, Feb 2015.

  77. Hari Krishna Vydana, P. Phani Kumar, K. Sri Rama Krishna and Anil Kumar Vuppala, "Improved emotion recognition using GMM-UBMs", SPACES, IEEE, KLU, Vijayawada, JAN 2015.

  78. Anil Kumar Vuppala, "Application of Zero-Frequency Filtering for Vowel Onset Point Detection", Sprniger LNAI, MIKE, 172-177, UCC, Ireland, 2014.

  79. Anil Kumar Vuppala and Sudarsan Reddy Kadiri, "Neutral to Anger Speech Conversion Using Non-Uniform Duration Modification", IEEE ICIIS, ABV-IIIT Gwalior, India, Dec 2014.

  80. Hari Krishna Vydana, Mounika.K.V, Anil Kumar Vuppala, "Improved Syllable Nuclei Detection Using Formant Energy in Glottal Closure Regions", IEEE ICDCCom, BIT Mesra, Sep 2014.

  81. Anil Kumar Vuppala, J. Limmayya, G. Raghavendra, "Neutral speech to anger speech conversion using prosody modification", Springer LNAI, MIKE 2013, 383-390, 2013.

  82. Sudhamay Maity, Anil Kumar Vuppala, K. Sreenivasa Rao and Dipanjan Nandi, “IITKGP-MLILSC Speech Database for Language identification", Eighteenth National Conference on Communications (NCC 2012), IIT Kharagpur, Feb 2012.

  83. Anil Kumar Vuppala, Jainath Yadav, K. Sreenivasa Rao and Saswat Chakrabarti, “Effect of noise on vowel onset point detection”, Fourth International Conference on Contemporary Computing (IC3), Noida, India, August 2011, pp. 201–211,  published in Springer Communications in Computer and Information Science.

  84. Anil Kumar Vuppala, K. Sreenivasa Rao and Saswat Chakrabarti, “Effect of noise on recognition of  Consonant-Vowel  (CV) units”, Fourth International Conference on Contemporary Computing (IC3), Noida, India, August 2011, pp. 191–200, published in Springer Communications in Computer and Information Science.

  85. Anil Kumar Vuppala, Jainath Yadav, K. Sreenivasa Rao and Saswat Chakrabarti, “Effect of speech coding on epoch extraction", IEEE ICDeCOM Feb 2011, BIT Mesra, India, Published in IEEE proceedings. 

  86. Anil Kumar Vuppala, K. Sreenivasa Rao and Saswat Chakrabarti, “Effect of speech coding on speaker identification", IEEE INDICON December 2010, Jadavpur University, India, Published in IEEE proceedings. 

  87. Anil Kumar Vuppala, K. Sreenivasa Rao and Saswat Chakrabarti, “Two-stage Isolated Consonant-Vowel (CV) Unit Recognition in Indian Languages", ICCCD 2010, IIT Kharagpur, December 2010.

  88. Anil Kumar Vuppala, K. Sreenivasa Rao and Saswat Chakrabarti, “Effect of speech coding on recognition of  Consonant-Vowel  (CV) units”, Third International Conference on Contemporary Computing (IC3), Noida, India, August 2010. Published in Springer Communications in Computer and Information Science PP:284-294 ISSN: 1865-0929.

  89. K. Sreenivasa Rao, Anil Kumar Vuppala, Saswat Chakrabarti and Leena Dutta, “Robust Speaker Recognition on Mobile Devices”, IEEE International Conference on Signal Processing and Communication (SPCOM), IISC Bangalore,India, July 2010.

  90. K Sreenivasa Rao, Jainath Yadav, Anil Kumar Vuppala, and Shashidhar G Koolagudi, "Two Stage Neural Network model for Recognition of Indian Languages from Speech", Fourteenth International Conference on Cognitive and Neural Systems, Boston, The USA, May, 2010.

  91. K. Sreenivasa Rao, Anil Kumar Vuppala, Sudhin Ray and Shashidhar G Koolagudi, "Feedforward Neural Network Models for Audio Segmentation", FourteenthInternational Conference on Cognitive and Neural Systems, Boston, The USA, May, 2010.

  92. K Sreenivasa Rao, Anil Kumar Vuppala, and Shashidhar G Koolagudi, "Neural Network Models for Emotion Recognition using Glottal Pulse Characteristics", Fourteenth International Conference on Cognitive and Neural Systems, Boston, The USA, May, 2010.

  93. Anil Kumar Vuppala, K. Sreenivasa Rao and Saswat Chakrabarti, “Feature Mapping Using Neural Network Models for Coded Speech Recognition”, FourteenthInternational Conference on Cognitive and Neural Systems, Boston, The USA, May, 2010.

  94. Sabin Kafley, Anil Kumar Vuppala, Arun Chauhan and K Sreenivasa Rao, “Continuous digit recognition in mobile environment”, IEEE Techsym 2010, IIT Kharagpur, pp. 217–222, April 2010.            

  95. Shashidhar G. Koolagudi, Sudhamay Maity, Vuppala Anil Kumar, Saswat Chakrabarti, and K. Sreenivasa Rao, “IITKGP-SESC Speech database for emotion analysis”, Second International Conference on Contemporary Computing (IC3), Noida, India, 2009. Published in Springer Communications in Computer and Information Science.

  96. Anil Kumar Vuppala and K. Sreenivasa Rao, “Neural Network Models for Speech Recognition in Mobile Environment”, Thirteenth International Conference on Cognitive and Neural Systems, Boston, The USA, May, 2009.

Book Chapters:

1. K. Sreenivasa Rao and Anil Kumar Vuppala, "Speech Processing in Mobile Environments", Springer Briefs in Electronics and Computer Engineering, 2014.

2. Shashidhar G. Koolagudi, K. Sreenivasa Rao, Ramu R, Anil Kumar Vuppala, and Saswat Chakrabarti, Chapter 8 “ Robust Speaker Recognition in Noisy Environments:      Using Dynamics of Speaker-Specific Prosody", Chapter 8, pp: 183-204, in Springer book "Forensic speaker recognition".

3. Prasath, Rajendra; Vuppala, Anil Kumar; Kathirvalavakumar, T. (2015). Mining Intelligence and Knowledge Exploration. Springer. 2015. ISBN 978-3-319-26831-6. Lecture Notes in Computer Science (9468)

4. Ravi Kumar Vuddagiri, Krishna Gurugubelli, Ramakrishna Thirumuru and Anil Kumar Vuppala, "Study of Robust Language Identification Techniques for the Future Smart Cities", Accepted in Elsevier Book on "Advances in Ubiquitous Computing: Cyber-Physical Systems, Smart Cities, and Ecological Monitoring".

5. Anil Kumar Vuppala and K N R K Raju Alluri, "A Study on Emotional State of the Speaker in Voice Bio-metrics", Accepted in Elsevier Book on "Advances in Ubiquitous Computing: Cyber-Physical Systems, Smart Cities, and Ecological Monitoring".