Publications

Thesis

1. Manjunath K E, “Articulatory and excitation source features for phone recognition,” MS Thesis, IIT Kharagpur, Kharagpur, WB, India 2015. pdf

2. Manjunath K E, “Study of Multilingual Phone Recognition using Indian Languages,” PHD Thesis, International Institute of Information Technology Bangalore, Bengaluru, Karnataka, India 2020. pdf

Book

Manjunath K E, “Multilingual Phone Recognition in Indian Languages”, SpringerBriefs in Speech Technology, 2021, eBook ISBN 978-3-030-80741-2, doi: 10.1007/978-3-030-80741-2 [link]

K. S. Rao and K.E. Manjunath, “Speech recognition using articulatory and excitation source features,” SpringerBriefs in Electrical and Computer Engineering book series, Springer, 2017. doi: 10.1007/978-3-319-49220-9

Journal

1. Manjunath K E and K. Sreenivasa Rao, “Source and System Features for Phone Recognition”, International Journal of Speech Technology, (Springer), pp. 1–14, 2014.

2. Manjunath K E and K. Sreenivasa Rao, “Improvement of Phone Recognition Accuracy using Articulatory Features,” Circuits, Systems, and Signal Processing, (Springer), vol. 37(2), pp. 704-728, 2017. doi: 10.1007/s00034-017-0568-8 

3. K.E. Manjunath and K. S. Rao, “Articulatory and excitation source features for speech recognition in read, extempore and conversation modes,” International Journal of Speech Technology (Springer), vol. 19, no.1, pp. 121-134, March 2016. doi: 10.1007/s10772-015-9329-x

4. K. E. Manjunath, D. B. Jayagopi, K. S. Rao, and V. Ramasubramanian, “Development and analysis of multilingual phone recognition systems using Indian languages,” International Journal of Speech Technology, (Springer), pp. 1-12, 2019. doi: 10.1007/s10772-018-09589-z  [pdf]

5. K. E. Manjunath, D. B. Jayagopi, K. S. Rao, and V. Ramasubramanian, “Articulatory Feature based Methods for Performance Improvement of Multilingual Phone Recognition Systems using Indian Languages,” Sadhana (Springer), Vol. 45(1), 2020. doi: 10.1007/s12046-020-01428-9 [pdf]

6. K. E. Manjunath, K. M. S. Raghavan, K. S. Rao, D. B. Jayagopi, and V. Ramasubramanian, “Approaches for Multilingual Phone Recognition in Code-Switched and Non-Code-Switched Scenarios using Indian Languages,” ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Vol. 20(4), pp. 1-19, 2021. doi:  10.1145/3437256 [pdf].

7. Manjunath K E, Yogeen S Honnavar, Rakesh Pritmani, Rakesh Kumar, and Sethuraman K, “Detection of Duplicate and Non-face Images in the eRecruitment Applications using Machine Learning Techniques”, in Journal of Robotics and Automation (IJRA),  Vol. 10, No. 2, 2021. DOI: 10.11591/ijra.v10i2.pp114-122

Conference

1. Shashi Kumar, Iuliia Nigmatulina, Sergio, Esaú Villatoro-Tello, Manjunath K E, Kadri Hacioglu, Pradeep, Andres, Petr Motlicek, Aravind Ganapathiraju, "Performance evaluation of SLAM-ASR: The Good, the Bad, the Ugly, and the Way Forward", ICASSP, 2024 (Submitted)

2. Shashi Kumar, Srikanth Madikeri, Juan Zuluaga-Gomez, Esaú Villatoro-Tello, Iuliia Nigmatulina, Petr Motlicek, Manjunath K E, Aravind Ganapathiraju, "XLSR-Transducer: Streaming ASR for Self-Supervised Pretrained Models", arXivLabs, Jul 2024 [pdf] 

3. Manjunath K E, K. Sreenivasa Rao, and Debadatta Pati, “Development of Phonetic Engine for Indian languages : Bengali and Oriya”, in 16 th IEEE International Oriental COCOSDA (OCOCOSDA-2013), (Gurgaon, India), Nov. 2013.

4. R Ravi Kiran, Sunil Kumar. S.B, Manjunath K E, Biswajit Satapathy, Apoorv Chaturvedi, Debadatta Pati, and K Sreenivasa Rao, “Automatic Phonetic and Prosodic Transcription for Indian Languages : Bengali and Odia”, in 10 th  International Conference on Natural Language Processing (ICON-2013), (New Delhi,India), Dec. 2013. http://cdn.iiit.ac.in/cdn/ltrc.iiit.ac.in/icon/2013/proceedings/File31-paper27.PDF

5.  Manjunath K E and K. Sreenivasa Rao, “Automatic Phonetic Transcription for Read, Extempore and Conversation Speech for an Indian Language: Bengali”, in 20th IEEE National Conference on Communications (NCC-2014), (Kanpur,India), Feb. 2014.

6. Manjunath K E, K. Sreenivasa Rao, and Gurunath Reddy M, “Two-Stage Phone Recognition System using Articulatory and Spectral Features”, in IEEE International Conference on Signal Processing and Communication Engineering Systems(SPACES-2015), (Vijayawada, India), Jan. 2015.

7. Manjunath K E, K. Sreenivasa Rao, and Gurunath Reddy M, “Improvement of Phone Recognition Accuracy using Source and System Features”, in IEEE International Conference on Signal Processing and Communication Engineering Systems (SPACES-2015), (Vijayawada, India), Jan. 2015.

8. Manjunath K E, Sunil Kumar. S. B, Debadatta Pati, Biswajit Satapathy, and K. Sreenivasa Rao, “Development of consonant-vowel recognition systems for Indian languages : Bengali and Odia”, in 10 th IEEE India Conference on Emerging Trends and Innovation in Technology (INDICON-2013), (Bombay, India), Dec. 2013. pdf

9. Piyush Kumar P. Singh, Manjunath K E, R Ravi Kiran, Jainath Yadav, and K Sreenivasa Rao, “Indexing and Retrieval of Speech Documents”, in 2 nd International Conference on Advanced Computing, Networking, and Informatics (ICACNI-2014), (Kolkata, India), Jul. 2014. https://link.springer.com/chapter/10.1007/978-3-319-07353-8_3

10. Manav Bhaykar, K. Sreenivasa Rao, and Manjunath K E, “Speaker Independent Emotion Recognition from Speech using Combination of Different Classification Models”, in 18 th World Multi-Conference on Systemics, Cybernetics and Informatics (WMSCI-2014), (Florida, USA), Jul. 2014 http://www.erpublications.com/uploaded_files/docs/doc_25_12_2013_16_06_48.pdf

11. Gurunath Reddy M, Harikrishna D. M, K. Sreenivasa Rao, and Manjunath K E, “Telugu Emotional Story Speech Synthesis using SABLE Markup Language”, in IEEE International Conference on Signal Processing and Communication Engineering Systems (SPACES-2015), (Vijayawada, India), Jan. 2015.

12. Gurunath Reddy M, Procheta Sen, Manjunath K E, Arup Dutta, Arijul Haque, Parakrant Sarkar, and K. Sreenivasa Rao, “Automatic pitch accent contour transcription for Indian Languages”, in IEEE International Conference on Computer Communication and Control (IC4-2015), (Indore, India), Sept. 2015. 

13. K. E. Manjunath, K. S. Rao and D. B. Jayagopi, ”Development of multilingual phone recognition system for Indian languages,” IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES), Kollam, 2017, pp. 1-6. doi: 10.1109/SPICES.2017.8091271 [pdf]

14. K. E. Manjunath, K. S. Rao, D. B. Jayagopi, and V. Ramasubramanian, “Indian languages ASR: A multilingual phone recognition framework with IPA based common phone-set, predicted articulatory features and feature fusion,” INTERSPEECH, Hyderabad, 2018, pp. 1016-1020. doi: 10.21437/Interspeech.2018-2529 [pdf]

15.  Manjunath K E, “Study of Multilingual Phone Recognition using Indian Languages,” 4 th Doctoral Consortium at INTERSPEECH, Hyderabad, 2018. [pdf]  

16. K. E. Manjunath, K. M. S. Raghavan, K. S. Rao, D. B. Jayagopi, and V. Ramasubramanian, “Multilingual Phone Recognition: Comparison of Traditional versus Common Multilingual Phone-set Approaches and Applications in Code-Switching,” International Symposium on Signal Processing and Intelligent Recognition Systems, Thiruvananthapuram, 2019. doi: 10.1007/978-981-15-4828-4 7 [pdf]

Hackathons:

Won "Best Hackathon Project" at the SLT-Hackathon 2022 for the work titled "Dialectical speech recognition for two Indian languages - Bengali and Bhojpuri".