Publications

Journals

  1. Achuth Rao M V, Yamini B K, Ketan J, Preetie Shetty A, Pal P, Shivashankar N, Prasanta Kumar Ghosh. “Automatic classification of healthy subjects and patients with essential vocal tremor using probabilistic source-filter model based noise robust pitch estimation”, Journal of Voice, 2021,ISSN 0892-1997[link]
  2. Varun Belagali, Achuth Rao M V, Pebbili Gopikishore, Rahul Krishnamurthy, and Prasanta Kumar Ghosh, “Two step convolutional neural network for automatic glottis localization and segmentation in stroboscopic videos”, Biomed. Opt. Express 11, 4695-4713 (2020) [link, code].
  3. Achuth Rao MV and Prasanta Kumar Ghosh, “SFNet: A Computationally Efficient Source Filter Model Based Neural Speech Synthesis,” in  IEEE Signal Processing Letters, 27, pp.1170-1174.(link, Demo, Code).
  4. Achuth Rao MV ,  Prakhar Gupta, Prasanta Kumar Ghosh, “P- and T-wave delineation in ECG signals using parametric mixture Gaussian and dynamic programming” Biomedical Signal Processing and Control. 2019 May 1;51:328-37.(link, code).
  5. Achuth Rao MV and Prasanta Kumar Ghosh, “Glottal inverse filtering using probabilistic weighted linear prediction”, IEEE/ACM Transactions on Audio, Speech, and Language Processing 27.1 (2018): 114-124. (link, code)
  6. Achuth Rao M V, Shiny Victory J, and Prasanta Ghosh, “Effect of source filter interaction on isolated vowel-consonant-vowel perception”, The Journal of the Acoustical Society of America 144.2 (2018): EL95-EL99. (link)
  7. Achuth Rao MV and Prasanta Kumar Ghosh, “PSFM- a probabilistic source filter model for noise robust glottal closure instant detection” IEEE/ACM Transactions on Audio, Speech, and Language Processing 26.9 (2018): 1645-1657. (link, Code)
  8. Achuth Rao M V and Prasanta Kumar Ghosh. “Probabilistic source
    filter model for speech”, In preparation

Conferences

  1. Divya Swaminathan, Sri Ranjani V , Achuth Rao M V, Malavi Srikar , Reny Raju , Prathyusha P V , Shoba Meera , “Accuracy of LENA Automatic Speech Recognition Models in Classifying Adult and Child Speaker Segments in Kannada” accepted in ASHA 2022.
  2. Abinay Reddy Naini, Achuth Rao MV, Prasanta Kumar Ghosh, “Whisper to Neutral Mapping Using i-Vector Space Likelihood and a Cosine Similarity Based Iterative Optimization for Whispered Speaker Verification” accepted in NCC 2022. [Best paper Award (signal processing track)]
  3. Siddharth Subramani, Achuth Rao M V, Anwesha Roy, Prasanna Suresh Hegde, Prasanta Ghosh, “Segnet-based deep representation learning for dysphagia classification” accepted in ICASSP 2022.
  4. Abhayjeet Singh, Achuth Rao M V, Rakesh Vaideeswaran, Chiranjeevi Yarra and Prasanta Kumar Ghosh, “A study on native American English speech recognition by indian listeners with varying word familiarity level”, accepted in O-COCOSDA 2021.
  5. Achuth Rao M V, Shailesh B G, Drishti Ramesh Megalmani, Satish S Jeevannavar, Prasanta Ghosh, “Noise Robust Detection of Fundamental Heart Sound using Parametric Mixture Gaussian and Dynamic Programming” , accepted in EMBC-2021.
  6. Drishti Ramesh Megalmani*, Shailesh B G, Achuth Rao M V, Satish S Jeevannavar, Prasanta Ghosh, “Unsegmented Heart Sound Classification Using Hybrid CNN-LSTM Neural Networks” accepted in EMBC-2021 
  7. Tilak Purohit, Achuth Rao M V, Prasanta Kumar Ghosh “Impact of speaking rate on the source filter Interaction in speech: a study”, accepted in ICASSP-2021.
  8. Praveen Damacharla, Achuth Rao M. V., Jordan Ringenberg, Ahmad Y Javaid, “TLU-Net: A Deep Learning Approach for Automatic Steel Surface Defect Detection” accepted in International Conference on Applied Artificial Intelligence (ICAPAI 2021) 
  9. Divya Degala, Achuth Rao M V, Rahul Krishnamurthy, Pebbili Gopikishore, Veeramani Priyadharshini, Prakash T K and Prasanta Ghosh, “Automatic Glottis Detection and Segmentation in Stroboscopic videos using Convolutional Networks”,  accepted in Interspeech 2020.
  10. Siddharth Subramani, Achuth Rao M V, Divya Giridhar, Prasanna Suresh Hegde, Prasanta Kumar Ghosh, “Automatic classification of volumes of water using swallow sounds from cervical auscultation”, Accepted in ICASSP-2020.
  11. Sanjeev Kadagathur Vadiraj, Achuth Rao M V, Prasanta Kumar Ghosh, “Automatic identification of speakers from head gestures in a narration”, Accepted in ICASSP-2020.
  12. Avni Rajpal, Achuth Rao MV, Chiranjeevi Yarra, Ritu Aggarwal, Prasanta Kumar Ghosh”, Pseudo likelihood correction technique for low resource accented ASR”, Accepted in ICASSP-2020.
  13. Divya Giridhar, Achuth Rao M V, Prasanna Suresh Hedge, and P. K. Ghosh, “Analysis of swallow sounds of healthy controls for different volumes of water”, accepted in International Conference on Engineering in Medicine and Life Sciences, PSG College of Technology, Coimbatore, India, December 19-21, 2019
  14. Abinay Reddy Naini*, Achuth Rao MV*, Prasanta Kumar Ghosh, “Whisper to neutral mapping using cosine similarity maximization in i-vector space for speaker verification” accepted in Interspeech 2019.
  15. Achuth Rao M V, Prasanta Kumar Ghosh, Tanuka Bhattacharjee, Anirban Dutta Choudhury “Trend Statistics Network and Channel invariant EEG Network for sleep  arousal study”, accepted in EMBC-2019.
  16. Abinay Reddy Naini, Achuth Rao MV, Prasanta Kumar Ghosh, “Formant-gaps features for speaker verification using whispered speech” accepted in ICASSP 2019.
  17. Chiranjeevi Yarra, Achuth Rao MV and Prasanta Kumar Ghosh, Automatic Native Language Identification Using Novel Acoustic and Prosodic Feature Selection Strategies accepted in INDICON-2018
  18. Tanuka Bhattacharjee, Deepan Das, Shahnawaz Alam, Achuth Rao M V, Prasanta Kumar Ghosh, Ayush Ranjan Lohani, Rohan Banerjee, Anirban Dutta Choudhury, Arpan Pal, “SleepTight: Identifying Sleep Arousals Using Inter- and Intra-Relation of Multimodal Signals” accepted in CinC 2018.
  19. Abinay Reddy Naini*, Achuth Rao MV*, G. Nisha Meenakshi* and Prasanta Ghosh, “Reconstructing neutral speech from prosthetic esophageal speech”, accepted in  Interspeech 2018, Hyderabad, India.
  20. Achuth Rao MV, Rahul Krishnamurthy, Pebbili Gopikishore, Veeramani Priyadharshini and Prasanta Ghosh, “Automatic glottis localization and segmentation in stroboscopic videos using deep neural network”,accepted in Interspeech 2018,Hyderabad, India. [Best Student paper award finalist]
  21. Achuth Rao MV and Prasanta Kumar Ghosh, “Pitch Prediction from Mel-generalized Cepstrum – a Computationally Efficient Pitch Modeling Approach for Speech Synthesis”, In 25th European Signal Processing Conference (EUSIPCO) 2017, Kos island, Greece.
  22. Achuth Rao MV, Kausthubha NK, Shivani Yadav, Dipanjan Gope, Uma Maheswari Krishnaswamy and Prasanta Kumar Ghosh, “Automatic Prediction of Spirometry Readings from Cough and Wheeze for Monitoring of Asthma Severity”, In 25th European Signal Processing Conference (EUSIPCO) 2017, Kos island, Greece.
  23. Achuth Rao M V, Shivani Yadav and Prasanta Kumar Ghosh, “A dual source-filter model of snore audio for snorer group classification”, In Interspeech 2017, Stockholm, Sweden.
  24. Achuth Rao MV and Prasanta Kumar Ghosh, “Pitch Prediction from Mel-Frequency Cepstral Coefficients Using Sparse Spectrum Recovery”, In 2017 National Conference on Communications (NCC), Chennai, India.
  25. B. Abhishek, Abhishek G. Poojary, M. V. Achuth Rao, S. Narayanan, “Low Power Portable EEG for Continuous Monitoring with Active Electrodes”, TIIEC, 2013.

[*] equal contribution.

Projects:

  1. Automatic glottis localization and segmentation in stroboscopic videos
  2. Tracheoesophageal speech to Neutral speech conversion
  3. Automatic methods for acoustic analysis and assessment of dysphagia in Head and Neck Cancer patients
  4. Characterization of polysomnography signals for Sleep Stage Scoring and Arousal Detection
  5. Natural Non-Native English Speech Synthesis