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D-Index & Metrics

Electronics and Electrical Engineering

D-Index
33
Citations
5065
World Ranking
6011
National Ranking
84

Overview

S. R. Mahadeva Prasanna is affiliated with the Indian Institute of Technology Dharwad in India. Their research primarily focuses on the broader area of Computer Science, with significant contributions in subfields such as Artificial Intelligence, Signal Processing, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, and Genetics.

The scientist's work extensively covers topics including Speech Recognition and Synthesis, Speech and Audio Processing, Music and Audio Processing, Natural Language Processing Techniques, Phonetics and Phonology Research, Cleft Lip and Palate Research, and Emotion and Mood Recognition.

Recent publications authored or co-authored by them demonstrate a focus on sustainability as well as audio and speech processing technologies. Notable papers include:

  • "The role of food industries in sustainability transition: a review" (2024), published in Environment Development and Sustainability
  • "Audio-Visual Biometric Recognition and Presentation Attack Detection: A Comprehensive Survey" (2021), IEEE Access
  • "Machine learning based combination of multi-omics data for subgroup identification in non-small cell lung cancer" (2023), Scientific Reports
  • "Speech/Music Classification Using Features From Spectral Peaks" (2020), IEEE/ACM Transactions on Audio Speech and Language Processing
  • "Attention gated tensor neural network architectures for speech emotion recognition" (2021), Biomedical Signal Processing and Control

Frequent coauthors indicate collaboration in research communities focusing on signal processing and machine learning. Some prominent collaborators are:

  • Jagabandhu Mishra
  • Mrinmoy Bhattacharjee
  • Priyankoo Sarmah
  • Prithwijit Guha
  • Ayush Agarwal

Publication venues demonstrate the scientist's engagement with both preprint and peer-reviewed platforms, including:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • The Journal of the Acoustical Society of America
  • 2022 IEEE International Conference on Signal Processing and Communications (SPCOM)
  • IEEE/ACM Transactions on Audio Speech and Language Processing

In addition to journal and conference papers, the scientist has contributed to book publications, including the title Speech and Computer published by Springer Science+Business Media in 2022.

Best Publications

  • A New Image Encryption Approach using Combinational Permutation Techniques

    A. Mitra;Y. V. Subba Rao;S. R. M. Prasanna

  • Extraction of speaker-specific excitation information from linear prediction residual of speech

    S.R. Mahadeva Prasanna;Cheedella S. Gupta;B. Yegnanarayana

  • Vowel Onset Point Detection Using Source, Spectral Peaks, and Modulation Spectrum Energies

    S.R. Mahadeva Prasanna;B.V. Sandeep Reddy;P. Krishnamoorthy

  • Combining evidence from source, suprasegmental and spectral features for a fixed-text speaker verification system

    B. Yegnanarayana;S.R.M. Prasanna;J.M. Zachariah;C.S. Gupta

  • Multimodal Biometric Person Authentication : A Review

    Soyuj Kumar Sahoo;Tarun Choubisa;S. R. Mahadeva Prasanna

  • Determination of Instants of Significant Excitation in Speech Using Hilbert Envelope and Group Delay Function

    K.S. Rao;S.R.M. Prasanna;B. Yegnanarayana

  • Processing of reverberant speech for time-delay estimation

    B. Yegnanarayana;S.R.M. Prasanna;R. Duraiswami;D. Zotkin

  • Speech enhancement using excitation source information

    B. Yegnanarayana;S. R. Mahadeva Prasanna;K. Sreenivasa Rao

  • Spoof detection using source, instantaneous frequency and cepstral features

    Sarfaraz Jelil;Rohan Kumar Das;S.R. Mahadeva Prasanna;Rohit Sinha

  • An Efficient R-peak Detection Based on New Nonlinear Transformation and First-Order Gaussian Differentiator

    P. Kathirvel;M. Sabarimalai Manikandan;S. R. M. Prasanna;K. P. Soman

  • Speech biometric based attendance system

    Subhadeep Dey;Sujit Barman;Ramesh K. Bhukya;Rohan K. Das

  • Empirical Mode Decomposition for adaptive AM-FM analysis of Speech

    Rajib Sharma;Leandro Vignolo;Gastn Schlotthauer;M.A. Colominas

  • Significance of Vowel-Like Regions for Speaker Verification Under Degraded Conditions

    S. R. M. Prasanna;G. Pradhan

  • Deep Learning Techniques for Speech Emotion Recognition: A Review

    Sandeep Kumar Pandey;H. S. Shekhawat;S. R. M. Prasanna

  • Speaker Verification by Vowel and Nonvowel Like Segmentation

    G. Pradhan;S. R. M. Prasanna

  • Detection of Vowel Onset Point Events using Excitation Information

    S. R. Mahadeva Prasanna;B. Yegnanarayana

  • Speaker localization using excitation source information in speech

    V.C. Raykar;B. Yegnanarayana;S.R.M. Prasanna;R. Duraiswami

  • Reverberant Speech Enhancement by Temporal and Spectral Processing

    P. Krishnamoorthy;S. Prasanna

  • Extraction of pitch in adverse conditions

    S.R.M. Prasanna;B. Yegnanarayana

  • An Overview of Digital Audio Steganography

    Hrishikesh Dutta;Rohan Kumar Das;Sukumar Nandi;S. R. Mahadeva Prasanna

  • A syllable-based framework for unit selection synthesis in 13 Indian languages

    Hemant A. Patil;Tanvina B. Patel;Nirmesh J. Shah;Hardik B. Sailor

Frequent Co-Authors

Hynek Hermansky
Hynek Hermansky Johns Hopkins University

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