activity
20182022
most citedA Preliminary Study of Disentanglement With Insights on the Inadequacy of Metrics

3 citations · 12 across the 12 of their papers we have counts for

collaborators

19 papers

cs.CV2022

Scaling Neural Face Synthesis to High FPS and Low Latency by Neural Caching

Frank Yu, Sid Fels, Helge Rhodin

Recent neural rendering approaches greatly improve image quality, reaching near photorealism. However, the underlying neural networks have high runtime, precluding telepresence and…

cs.SD20211 cited

A comparative study of two-dimensional vocal tract acoustic modeling based on Finite-Difference Time-Domain methods

Debasish Ray Mohapatra, Victor Zappi, Sidney Fels

The two-dimensional (2D) numerical approaches for vocal tract (VT) modelling can afford a better balance between the low computational cost and accurate rendering of acoustic wave…

cs.SD2021

SPEAK WITH YOUR HANDS Using Continuous Hand Gestures to control Articulatory Speech Synthesizer

Pramit Saha, Debasish Ray Mohapatra, Sidney Fels

This work presents our advancements in controlling an articulatory speech synthesis engine, \textit{viz.}, Pink Trombone, with hand gestures. Our interface translates continuous fi…

eess.IV2020

Ultra2Speech -- A Deep Learning Framework for Formant Frequency Estimation and Tracking from Ultrasound Tongue Images

Pramit Saha, Yadong Liu, Bryan Gick +1

Thousands of individuals need surgical removal of their larynx due to critical diseases every year and therefore, require an alternative form of communication to articulate speech…

eess.AS2020

Learning Joint Articulatory-Acoustic Representations with Normalizing Flows

Pramit Saha, Sidney Fels

The articulatory geometric configurations of the vocal tract and the acoustic properties of the resultant speech sound are considered to have a strong causal relationship. This pap…

cs.LG20192 cited

Variational Learning with Disentanglement-PyTorch

Amir H. Abdi, Purang Abolmaesumi, Sidney Fels

Unsupervised learning of disentangled representations is an open problem in machine learning. The Disentanglement-PyTorch library is developed to facilitate research, implementatio…