Dr. M Kiran Reddy

Dr.M KIRAN REDDY, PhD


Assistant Professor,
Department of Electronics and Communication Engineering,
Email: kiranmittapalle  [at] iiitk.ac.in | Contact Number: 08518-289100 - 171(E)

Academic Qualifications

  • Ph.D in Computer Science and Engineering (Specialization: Speech Signal Processing) from Indian Institute of Technology (IIT), Kharagpur (Dec 2014 - Mar 2020)

  • M.E in Communication Systems from SSN College of Engineering, Anna University, Chennai (2012-2014)

Areas of Interest

  • Signal Processing, Speech Processing, Pattern Recognition, Artificial Intelligence, Embedded Machine Learning.

Professional / Teaching Experience

  • Assistant Professor (Grade-II), Dept. of ECE, IIITDM Kurnool (09.05.2025- Till date)

  • Assistant Professor (Grade-II), Dept. of CSE, IIIT Raichur (10.12.2024 to 08.05.2025)

  • Postdoctoral Researcher, Department of Information and Communications Engineering, Aalto University, Espoo, Finland (01.09.2020 to 30.11.2024) 

  • Machine Learning Research Scientist, Avrio Energy Pvt. Limited, Haryana, India (01.02.2020 to 31.08.2020)

  • Senior Scientific Officer, Sponsored Research and Industrial Consultancy, Indian Institute of Technology Kharagpur, India, Sponsored by: DIT, New Delhi (14.10.2015 to 31.03.2018)

Teaching

UG/PG Level

Role 

Course

Department-Institute

Semester

UG

Course Instructor

Signals & Systems (EC211)

ECE, IIITDM Kurnool

Autumn (2025)

PG

Course Instructor

Guidance, Navigation and Control (EC575)

ECE, IIITDM Kurnool

Autumn (2025)

UG

Course Instructor

Deep Learning for Speech Processing (CS310)

CSE, IIIT Raichur

Spring (2025)

UG

Course Instructor

Introduction to Object Oriented Programming (CS103)

CSE, IIIT Raichur

Spring (2025)

PG

Co-lecturer

Speech and Language Processing

Seminar (ELEC-E5531)

DICE, Aalto University, Finland

Spring (2024)


Selected Journal Publications

  1. S. Tirronen, J. Farhad, P. Hilla, S. R. Kadiri, M. Kiran Reddy, P. Helkkula, K. Kaitue, M. Minkkinen, H. Tolppanen, T. Nieminen, P. Alku, Towards robust heart failure detection in digital telephony environments by utilizing transformer-based codec inversion, Speech Communication, In Press, 2025. [ Q1, Impact Factor – 3.0]

  2. Y. Liu, M. Kiran Reddy, Y. Madhu Keerthana, Okko Rasanen, P. Alku, T. Ikavalko, T. Hakanpaa, O. Aleksi, L. Anna-Maria, utomatic Classification of Strain in the Singing Voice Using Machine Learning, Journal of Voice (Elsevier), In Press, 2025. [ Q2, Impact Factor – 2.4]

  3. M. Kiran Reddy, Paavo Alku, Automatic detection of Parkinsonian speech using wavelet scattering features, JASA Express Letters, vol. 5, no. 5, 055202, 2025. [ Q1, Impact Factor – 1.4]

  4. M. Kiran Reddy, Paavo Alku, Tunable Q wavelet transform-based features in the classification of phonation types in singing and speaking voice. Journal of Voice (Elsevier), vol. 4, no. 6, 065201, 2024. [ Q2, Impact Factor – 2.4]

  5. M. Kiran Reddy, Paavo Alku, Classification of phonation types in singing voice using wavelet scattering network-based features. JASA Express Letters, vol. 4, no. 6, 065201, 2024. [ Q1, Impact Factor – 1.4]

  6. M. Kiran Reddy, Paavo Alku, Exemplar-based sparse representations for detection of Parkinson’s disease from speech. IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 31, pp. 1386-1396, 2023. [ Q1, Impact Factor – 5.1]

  7. Yuanyuan Liu, M. Kiran Reddy, Nelly Penttilä, Tiina Ihalainen, Paavo Alku and Okko Räsänen, Automatic Assessment of Parkinson’s Disease Using Speech Representations of Phonation and Articulation, IEEE/ACM Transactions on Audio, Speech and Language Processing, Vol. 31, pp. 242-255, 2023. [ Q1, Impact Factor – 5.1]

  8. M. Kiran Reddy, Y. Madhu Keerthana and Paavo Alku, Classification of Functional Dysphonia using the Tunable Q Wavelet Transform, Speech Communication (Elsevier), Vol. 155, 102989, 2023. [ Q1, Impact Factor – 3.0]

  9. M. Kiran Reddy, Y. Madhu Keerthana and Paavo Alku, End-to-end pathological speech detection using wavelet scattering network, IEEE Signal Process. Lett., Vol. 29, pp. 1863-1867, 2022. [ Q1, Impact Factor – 3.9]

  10. M. Kiran Reddy, Hilla Pohjalainen, Pyry Helkkula, Kasimir Kaitue, Mikko Minkkinen, Heli Tolppanen, Tuomo Nieminen, Paavo Alku, “Glottal flow characteristics in vowels produced by speakers with heart failure”, Speech Communication (Elsevier), vol. 137, pp. 35-43, 2022. [ Q1, Impact Factor – 3.0]

  11. M. Kiran Reddy, Pyry Helkkula, Y. Madhu Keerthana, Kasimir Kaituea, Mikko Minkkinen, Heli Tolppanen, Tuomo Nieminen, Paavo Alku “The automatic detection of heart failure using speech signals”, Computer Speech & Language (Elsevier), vol. 69, 101205, pp. 1-11, 2021. [ Q2, Impact Factor – 3.4]

  12. M. Kiran Reddy and Paavo Alku “A comparison of cepstral features in the detection of pathological voices by varying the input and filterbank of the cepstrum computation”, IEEE Access, vol. 9, pp. 135953-135963, 2021. [ Q1, Impact Factor – 3.6]

  13. M. Kiran Reddy and K. Sreenivasa Rao, Excitation modeling using epoch features for statistical parametric speech synthesis, Computer Speech & Language (Elsevier), Vol.60, 101029, 2020. [ Q2, Impact Factor – 3.4]

  14. M. Kiran Reddy and K. Sreenivasa Rao, DNN-based cross-lingual voice conversion using bottleneck features, Neural Processing Letters (Springer), vol. 51, pp. 2029-2042, 2020. [ Q2, Impact Factor – 2.8]

  15. M. Kiran Reddy, Paavo Alku and K. Sreenivasa Rao, "Detection of Specific Language Impairment in Children Using Glottal Source Features," IEEE Access, vol. 8, pp. 15273- 15279, 2020. [ Q1, Impact Factor – 3.6]

  16. R. Pradeep, M. Kiran Reddy and K. Sreenivasa Rao, Robust f0 extraction from monophonic signals using adaptive sub-band filtering, Speech Communication (Elsevier), vol. 116, pp. 77-85, 2020. [ Q1, Impact Factor – 3.0]

  17. K. Tripathi, M. Kiran Reddy and K. Sreenivasa Rao, Multilingual and Multimode Phone Recognition system for Indian languages, Speech Communication (Elsevier), vol. 119, pp. 12-23, 2020. [ Q1, Impact Factor – 3.0]

  18. M. Kiran Reddy and K. Sreenivasa Rao, Robust pitch extraction method for HMM-based speech synthesis system, IEEE Signal Process. Lett., Vol. 24, No. 8, PP. 1133-1137, 2017. [ Q1, Impact Factor – 3.9]

Awards\Recognizations

  1. School Topper in CBSE class-X board examination (2006).

  2. Received “Prime Minister’s Scholarship Scheme (PMSS)” during UG (2008-2012).

  3. Secured 2nd rank at college level (out of 240 students) in UG (2012).

  4. Received GATE fellowship for M.E, from MHRD, Govt. of India (2012 to 2014).

  5. Received Merit Scholarship from SSN college of engineering during M.E (2012 & 2013).

  6. Elected as Board of studies (BOS) member for Dept. of ECE at SSNCE Chennai (2019-2021).

  7. Received Institute Fellowship (During PhD) from MHRD, Govt. of India.

  8. Received financial grant from Aalto university, Finland to visit the university as visiting research scholar (June 2019).

  9. One of the recent paper titled “Automatic detection of Parkinsonian speech using wavelet scattering features” featured as Scilight article in JASA Express Letter.