Dr. Ishwar Chandra Yadav - ASSISTANT PROFESSOR (SENIOR GRADE)

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Dr. Ishwar Chandra Yadav

Biography

Dr. Ishwar Chandra Yadav received his Ph.D. in Electronics and Communication Engineering from the National Institute of Technology Patna, India, in 2021. His doctoral research focused on enhancing children’s speech recognition through advanced signal processing and feature extraction techniques. He earned his M.Tech. in Communication Systems from NIT Patna in 2014 and his B.Tech. in Electronics and Communication Engineering from UPTU, Lucknow, in 2009. From October 2021 to May 2025, he served as Guest Faculty in the Department of Electronics and Communication Engineering at Madan Mohan Malaviya University of Technology, Gorakhpur. In August 2025, he joined Jaypee Institute of Information Technology as an Assistant Professor (Senior Grade) at Wish Town, Sector-128, Noida

Research Highlights

Dr. Ishwar Chandra Yadav’s research area focuses on speech signal processing, automatic speech recognition (ASR), and related speech technologies, with a special emphasis on children’s speech and dysarthric speech. The research focuses on:

Developing methods to improve recognition accuracy in state-of-the-art end-to-end ASR systems trained on adult speech data, incorporating pitch/formant normalization, data augmentation, and domain adaptation techniques.

Investigating noise-robust and pitch-invariant processing approaches to enhance the real-world applicability of children’s and dysarthric speech recognition systems.

Designing ASR solutions under zero-resource conditions, leveraging self-supervised and pre-trained models such as Wav2Vec and Hubert for low-resource speech recognition.

Exploring novel feature extraction, acoustic modeling, and adaptation strategies to mitigate mismatches in pitch, speaking rate, and recording conditions, aiming to make ASR systems more robust and inclusive across diverse speaker populations.

Areas of Interest

Speech Signal Processing
Automatic Speech Recognition
Children’s ASR
Dysarthric ASR
Low-Resource Speech Recognition

Publications

I. C. Yadav and G. Pradhan, “Pitch and Noise Normalized Acoustic Feature for Children’s ASR,” Digital Signal Processing, vol. 109, p. 102922, 2021.
I. C. Yadav and G. Pradhan, “Significance of Pitch-based Spectral Normalization for Children’s Speech Recognition,” IEEE Signal Processing Letters, vol. 26, pp. 1822–1826, 2019.
I. C. Yadav, S. Shahnawazuddin, and G. Pradhan, “Addressing noise and pitch sensitivity of speech recognition system through variational mode decomposition based spectral smoothing,” Digital Signal Processing, vol. 86, pp. 55–64, 2019.
I. C. Yadav, S. Shahnawazuddin, and G. Pradhan, “Spectral smoothing by variational mode decomposition and its effect on noise and pitch robustness of ASR system,” in Proc. Int. Conf. Acoust., Speech, Signal Process. (ICASSP), April 2018, pp. 5629–5633.
I. C. Yadav, A. Kumar, S. Shahnawazuddin, and G. Pradhan, “Non-uniform spectral smoothing for robust children’s speech recognition,” in Proc. Interspeech, Hyderabad, India, September 2018, pp. 242–246.