Specialization

Speech and Image Processing, Audio Spoof Detection, Audio Signal Processing, Machine Learning

Email

nidhi.chakravarty@thapar.edu

Education
1.    Ph.D* (Submitted) in Computer Engineering (2020-2024) from National Institute of Technology, Kurukshetra.
2.    M.Tech with First Division in Information Technology, (2020) from C-DAC: Centre for Development of Advanced Computing, NOIDA, India.
3.    B. Tech. in Computer Science and Engineering, (2016) from Raj Kumar Goel Institute of Technology, Women, Ghaziabad.

Journal publications
1.    Chakravarty, N., & Dua, M. (2022). Noise Robust ASV Spoof Detection Using Integrated Features and Time Delay Neural Network. SN Computer Science, 4(2),127. 
2.    Chakravarty, N., & Dua, M. (2023). Spoof Detection using Sequentially Integrated Image and Audio Features. International Journal of Computing and Digital Systems, 13(1), 1-1. 
3.    Chakravarty, N., & Dua, M. (2023). Data augmentation and hybrid feature amalgamation to detect audio deep fake attacks. Physica Scripta, 98(9), 096001. 
4.    Chakravarty, N., & Dua, M. (2024). An improved feature extraction for Hindi language audio impersonation attack detection. Multimedia Tools and Applications, 1-26. 
5.    Chakravarty, N., & Dua, M. (2024). A lightweight feature extraction technique for deepfake audio detection. Multimedia Tools and Applications, 1-25. 
6.    Chakravarty, N., & Dua, M. (2024). Feature extraction using GTCC spectrogram and ResNet50 based classification for audio spoof detection. International Journal of Speech Technology, 1-13. 
7.    Dua, M., Bhagat, B., Dua, S., & Chakravarty, N. (2024). A review on Gujarati language based automatic speech recognition (ASR) systems. International Journal of Speech Technology, 1-24. 
8.    Chakravarty, N., & Dua, M. (2024). MelCochleaGram-DeepCNN: Sequentially Fused Spectrogram and DeepCNN Classifiers based Audio Spoof Detection System. IETE Journal of Research.

Conference publications
1.    Chakravarty, N., Dua, M., & Dua, S. (2023, May). Automatic Modulation Classification using amalgam CNN-LSTM. In 2023 IEEE Radio and Antenna Days of the Indian Ocean (RADIO) (pp. 1-2). IEEE. 
2.    Chakravarty, N., Dua, M. (2023 December). NRASV: Noise Robust ASV system for Audio Replay Attack detection. In 5th International Conference on Deep Learning, Artificial Intelligence and Robotics (ICDLAIR) 2023 
3.    Chakravarty, N., Dua, M. (2023 December). Detection of audio spoofing attack using integrated Hand-Crafted Features with LSTM. In International Conference on Artificial Intelligence, Computing, IoT and Data Analytics. 2023.
4.    Dua, M., Meena, S., & Chakravarty, N. (2023, November). Audio Deepfake Detection Using Data Augmented Graph Frequency Cepstral Coefficients. In 2023 International Conference on System, Computation, Automation and Networking (ICSCAN) (pp. 1-6). IEEE. 
5.    Chakravarty, N., Dua, M. (2024 March).  Audio Spoof Detection using Deep Residual Networks based Feature Extraction: Unveiling Synthetic, Replay and Mimicry Threats. In 2024 IEEE International Conference on Recent Innovation in Smart and Sustainable Technology (ICRISST 2024)
6.    Chakravarty, N., Dua, M. (2024 June). Spectrogram Features and Xception Classifier based Audio Spoof Detection System. In International Conference on Computer, Electronics, Electrical Engineering and Their Applications (IC2E3-2024), NIT Uttarakhand, India. 
7.    Chakravarty, N., Dua, M. (2024 June). Audio Deepfake Detection using Gammatone Spectrogram and DeepCNN classifier. In First International Conference on Recent Advances in Smart Energy Systems & Intelligent Automation (RASESIA 2024), NIT Kurukshetra. 
 

Book Chapter publication
1.    Chakravarty Nidhi, Dua, M. (2024). Securing Automatic Speaker Verification Systems using Residual Networks. In Enhancing Steganography Through Deep Learning Approaches. In Enhancing Steganography Through Deep Learning Approaches, IGI Global 

Honours and Achievements
1.    Two Times GATE Qualified (2017, 2020)
2.    UGC Net qualified for Assistant Professor (2018)