World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
4757
World Ranking
12666
National Ranking
145

Overview

K. Sreenivasa Rao is affiliated with the Indian Institute of Technology Kharagpur in India. Their research predominantly focuses on the field of Computer Science, with a particular emphasis on subfields such as Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, and Experimental and Cognitive Psychology.

Their main research topics cover areas including Speech and Audio Processing, Speech Recognition and Synthesis, Music and Audio Processing, AI in cancer detection, Speech and dialogue systems, Network Security and Intrusion Detection, and Radiomics and Machine Learning in Medical Imaging.

Among their recent publications, notable papers include:

  • Intelligent Ultrasound Imaging for Enhanced Breast Cancer Diagnosis: Ensemble Transfer Learning Strategies (2024), published in IEEE Access
  • Excellence of Nano SiC on Mechanical Behaviour of Low Density Polyethylene Hybrid Nanocomposite (2024), published in Journal of The Institution of Engineers (India) Series D
  • Mechanism of Internet of Things (IoT) Integrated with Radio Frequency Identification (RFID) Technology for Healthcare System (2022), published in Mathematical Problems in Engineering
  • Accent classification from an emotional speech in clean and noisy environments (2022), published in Multimedia Tools and Applications
  • VEP Detection for Read, Extempore and Conversation Speech (2020), published in IETE Journal of Research

The venues where K. Sreenivasa Rao frequently publishes include:

  • Multimedia Tools and Applications
  • IEEE Access
  • Circuits Systems and Signal Processing
  • International Journal of Speech Technology
  • arXiv (Cornell University)

Frequent co-authors in their collaborative work include Kumud Tripathi, Pabitra Mitra, K E Manjunath, Dinesh Babu Jayagopi, and V. Ramasubramanian, reflecting a network of collaborators with overlapping research interests.

Best Publications

  • Emotion recognition from speech: a review

    Shashidhar G. Koolagudi;K. Sreenivasa Rao

  • Prosody modification using instants of significant excitation

    K.S. Rao;B. Yegnanarayana

  • Emotion recognition from speech using global and local prosodic features

    K. Sreenivasa Rao;Shashidhar G. Koolagudi;Ramu Reddy Vempada

  • IITKGP-SESC: Speech Database for Emotion Analysis

    Shashidhar G. Koolagudi;Sudhamay Maity;Vuppala Anil Kumar;Saswat Chakrabarti

  • Speech enhancement using excitation source information

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

  • IITKGP-SEHSC : Hindi Speech Corpus for Emotion Analysis

    Shashidhar G. Koolagudi;Ramu Reddy;Jainath Yadav;K. Sreenivasa Rao

  • Emotion recognition from speech using source, system, and prosodic features

    Shashidhar G. Koolagudi;K. Sreenivasa Rao

  • Modeling durations of syllables using neural networks

    K. Sreenivasa Rao;B. Yegnanarayana

  • Short Communication: Duration modification using glottal closure instants and vowel onset points

    K. Sreenivasa Rao;B. Yegnanarayana

  • Voice conversion by mapping the speaker-specific features using pitch synchronous approach

    K. Sreenivasa Rao

  • Intonation modeling for Indian languages

    K. Sreenivasa Rao;B. Yegnanarayana

  • Identification of Indian languages using multi-level spectral and prosodic features

    V. Ramu Reddy;Sudhamay Maity;K. Sreenivasa Rao

  • Development of syllable-based text to speech synthesis system in Bengali

    N. P. Narendra;K. Sreenivasa Rao;Krishnendu Ghosh;Ramu Reddy Vempada

  • Emotion recognition from speech signal using epoch parameters

    Shashidhar G. Koolagudi;Ramu Reddy;K. Sreenivasa Rao

  • Identification of Language using Mel-Frequency Cepstral Coefficients (MFCC)

    Shashidhar G. Koolagudi;Deepika Rastogi;K. Sreenivasa Rao

  • Speech Emotion Recognition Using Segmental Level Prosodic Analysis

    Shashidhar G. Koolagudi;Nitin Kumar;K. Sreenivasa Rao

  • Fast prosody modification using instants of significant excitation

    Srm Prasanna;D Govind;K Sreenivasa Rao;Bayya Yegnanarayana

  • Speech Recognition Using Articulatory and Excitation Source Features

    K. Sreenivasa Rao;K. E. Manjunath

  • IITKGP-MLILSC speech database for language identification

    Sudhamay Maity;Anil Kumar Vuppala;K. Sreenivasa Rao;Dipanjan Nandi

  • Emotion Recognition using Speech Features

    K. Sreenivasa Rao;Shashidhar G. Koolagudi

  • 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

B. Yegnanarayana
B. Yegnanarayana International Institute of Information Technology, Hyderabad
S. R. Mahadeva Prasanna
S. R. Mahadeva Prasanna Indian Institute of Technology Dharwad
Naresh Kumar
Naresh Kumar University of New South Wales
Christoph Busch
Christoph Busch Norwegian University of Science and Technology
Pabitra Mitra
Pabitra Mitra Indian Institute of Technology Kharagpur

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science can open doors to a variety of other exciting fields. Many students choose to specialize or branch out into related areas by enrolling in online degree programs. These online options provide flexibility, making it easier to balance studies with other commitments.

If you are interested in engineering, consider the cheapest mechanical engineering degree online for a budget-friendly route into this high-demand sector. Likewise, a foundation in physics can enhance your analytical skills—the availability of online physics degrees allows for seamless integration with your computer science background.

For those aiming for cutting-edge fields like AI and data analytics, pursuing the cheapest master in data science offers advanced opportunities with strong job prospects. Additionally, students seeking a blend of hardware and software expertise may look into the best online electrical engineering programs USA.

These diverse pathways highlight how online education can help you customize your career in technology, engineering, and science.

Best Scientists Citing K. Sreenivasa Rao

Trending Scientists