World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
61
Citations
15227
World Ranking
3066
National Ranking
26

Research.com Recognitions

  • 2013 - IEEE Fellow For contributions to digital signal processing research and education
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)

Overview

B. Yegnanarayana is affiliated with the International Institute of Information Technology, Hyderabad in India. Their research focuses primarily on computer science, with significant contributions to subfields such as signal processing, artificial intelligence, computational mechanics, experimental and cognitive psychology, and pharmacy.

The scientist's main topics of research cover speech and audio processing, speech recognition and synthesis, advanced adaptive filtering techniques, phonetics and phonology research, blind source separation techniques, music and audio processing, and emotion and mood recognition.

Recent papers authored or co-authored by B. Yegnanarayana include:

  • "Excitation Features of Speech for Emotion Recognition Using Neutral Speech as Reference," 2020, Circuits Systems and Signal Processing
  • "Analysis and classification of phonation types in speech and singing voice," 2020, Speech Communication
  • "Extraction and Utilization of Excitation Information of Speech: A Review," 2021, Proceedings of the IEEE
  • "Determination of glottal closure instants from clean and telephone quality speech signals using single frequency filtering," 2020, Computer Speech & Language
  • "Group delay spectrogram of speech signals without phase wrapping," 2022, The Journal of the Acoustical Society of America

Key frequent collaborators include Sudarsana Reddy Kadiri, Paavo Alku, Vishala Pannala, RaviShankar Prasad, and P. Gangamohan.

Publications have appeared predominantly in these venues:

  • Computer Speech & Language
  • The Journal of the Acoustical Society of America
  • Circuits Systems and Signal Processing
  • Speech Communication
  • Proceedings of the IEEE

B. Yegnanarayana has been recognized with the title of IEEE Fellow in 2013 for contributions to digital signal processing research and education and is also a Fellow of the Indian National Academy of Engineering (INAE).

Best Publications

  • Artificial Neural Networks

    B. Yegnanarayana

  • Epoch Extraction From Speech Signals

    K.S.R. Murty;B. Yegnanarayana

  • Combining evidence from residual phase and MFCC features for speaker recognition

    K.S.R. Murty;B. Yegnanarayana

  • Genetic-algorithm-based optimal power flow for security enhancement

    D. Devaraj;B. Yegnanarayana

  • Epoch extraction from linear prediction residual for identification of closed glottis interval

    T. Ananthapadmanabha;B. Yegnanarayana

  • Gait analysis for human identification

    A. Kale;N. Cuntoor;B. Yegnanarayana;A. N. Rajagopalan

  • Spectral Mapping Using Artificial Neural Networks for Voice Conversion

    Srinivas Desai;Alan W Black;B Yegnanarayana;Kishore Prahallad

  • Enhancement of reverberant speech using LP residual signal

    B. Yegnanarayana;P.S. Murthy

  • Voice conversion using Artificial Neural Networks

    Srinivas Desai;E. Veera Raghavendra;B. Yegnanarayana;Alan W. Black

  • Transformation of formants for voice conversion using artificial neural networks

    M. Narendranath;Hema A. Murthy;S. Rajendran;B. Yegnanarayana

  • Determination of instants of significant excitation in speech using group delay function

    R. Smits;B. Yegnanarayana

  • Extraction and representation of prosodic features for language and speaker recognition

    Leena Mary;B. Yegnanarayana

  • Event-Based Instantaneous Fundamental Frequency Estimation From Speech Signals

    B. Yegnanarayana;K.S.R. Murty

  • Prosody modification using instants of significant excitation

    K.S. Rao;B. Yegnanarayana

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

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

  • AANN: an alternative to GMM for pattern recognition

    B. Yegnanarayana;S. P. Kishore

  • Extraction of vocal-tract system characteristics from speech signals

    B. Yegnanarayana;R.N.J. Veldhuis

  • Significance of group delay functions in signal reconstruction from spectral magnitude or phase

    B. Yegnanarayana;D. Saikia;T. Krishnan

  • Extracting the frequencies of the pinna spectral notches in measured head related impulse responses.

    Vikas C. Raykar;Ramani Duraiswami;B. Yegnanarayana

  • An iterative algorithm for decomposition of speech signals into periodic and aperiodic components

    B. Yegnanarayana;C. d'Alessandro;V. Darsinos

  • A clustering algorithm using an evolutionary programming-based approach

    Manish Sarkar;B. Yegnanarayana;Deepak Khemani

Frequent Co-Authors

S. R. Mahadeva Prasanna
S. R. Mahadeva Prasanna Indian Institute of Technology Dharwad
K. Sreenivasa Rao
K. Sreenivasa Rao Indian Institute of Technology Kharagpur
Hynek Hermansky
Hynek Hermansky Johns Hopkins University
Ramani Duraiswami
Ramani Duraiswami University of Maryland, College Park
Paavo Alku
Paavo Alku Aalto University
Alan W. Black
Alan W. Black Carnegie Mellon University
B. V. K. Vijaya Kumar
B. V. K. Vijaya Kumar Carnegie Mellon University
Rama Chellappa
Rama Chellappa Johns Hopkins University
Alex Waibel
Alex Waibel Carnegie Mellon University
C. Krishna Mohan
C. Krishna Mohan Indian Institute of Technology Hyderabad

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