Sandeep Kumar Pandey

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 10

Top Topics

Longitudinal Study

Speaker Identification

Multimodal Fusion

Emotion Recognition

Top Venues

Biomed. Signal Process. Control.

Publications

Sandeep Kumar Pandey, Hanumant Singh Shekhawat, S. R. M. Prasanna
Multi-cultural speech emotion recognition using language and speaker cues. Biomed. Signal Process. Control. 83 (2023)
Sandeep Kumar Pandey, Geetika Srivastava, Mamun Bin Ibne Reaz, Sawal Hamid Md. Ali, Edi Kurniawan, Rabindra Gandhi Thangarajoo, Ganga Ram Mishra, Sacchidanand Shukla
FPGA-based Hardware Classifier for Diabetic Sensorimotor Polyneuropathy Severity Assessment. AISD (2023)
Sandeep Kumar Pandey, Mohit Manohar Nirgulkar, Hanumant Singh Shekhawat
A Longitudinal Study of the Emotional Content in Indian Political Speeches. ICHI (2022)
Sandeep Kumar Pandey, Hanumant Singh Shekhawat, S. R. M. Prasanna
Attention gated tensor neural network architectures for speech emotion recognition. Biomed. Signal Process. Control. 71 (Part) (2022)
Sandeep Kumar Pandey, Hanumant Singh Shekhawat, Shalendar Bhasin, Ravi Jasuja, S. R. M. Prasanna
Alzheimer's Dementia Recognition Using Multimodal Fusion of Speech and Text Embeddings. ICHI (2021)
Ajit Kumar, Bong Jun Choi, Sandeep Kumar Pandey, Sanghyeon Park, SeongIk Choi, Hanumant Singh Shekhawat, Wesley De Neve, Mukesh Saini, S. R. M. Prasanna, Dhananjay Singh
Exploring Multimodal Features and Fusion for Time-Continuous Prediction of Emotional Valence and Arousal. ICHI (2021)
Sharu Goel, Sandeep Kumar Pandey, Hanumant Singh Shekhawat
Analysis of Emotional Content in Indian Political Speeches. IHCI (1) (2020)
Sharu Goel, Sandeep Kumar Pandey, Hanumant Singh Shekhawat
Analysis of Emotional Content in Indian Political Speeches. CoRR (2020)
Sandeep Kumar Pandey, Hanumant Singh Shekhawat, S. R. M. Prasanna
Emotion Recognition from Raw Speech using Wavenet. TENCON (2019)
Sandeep Kumar Pandey, Sarfaraz Jelil, S. R. M. Prasanna, Hanumant Singh Shekhawat
Speaker Identification Using Tensor Decomposition of Acoustic Models. TENCON (2018)