4 papers
Low-Rank Frequency Convolution and Noise-Range Augmentation for Real-Time Pitch Estimation on Edge Devices
Venkat Suprabath Bitra, Homayoon Beigi
Pitch estimation on an edge device is constrained in three ways at once. The model must be small, it must stay accurate when the input is noisy, and one frame must be produced insi…
Lightweight Self-Supervised Detection of Fundamental Frequency and Accurate Probability of Voicing in Monophonic Music
Venkat Suprabath Bitra, Homayoon Beigi
Reliable fundamental frequency (F 0) and voicing estimation is essential for neural synthesis, yet many pitch extractors depend on large labeled corpora and degrade under realistic…
Spatial Covariance Constraints for Gaussian Mixture Models
Hanzhang Lu, Keiran Malott, Venkat Suprabath Bitra +11
Although extensive research exists in spatial modeling, few studies have addressed finite mixture model-based clustering methods for spatial data. Finite mixture models, especially…
SemUV: Deep Learning based semantic manipulation over UV texture map of virtual human heads
Anirban Mukherjee, Venkat Suprabath Bitra, Vignesh Bondugula +2
Designing and manipulating virtual human heads is essential across various applications, including AR, VR, gaming, human-computer interaction and VFX. Traditional graphic-based app…