3 citations · 9 across the 10 of their papers we have counts for
11 papers
Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment
Felix Wagner, Zeju Li, Pramit Saha +1
Deployment of Deep Neural Networks in medical imaging is hindered by distribution shift between training data and data processed after deployment, causing performance degradation.…
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…
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…
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…
EEG-to-F0: Establishing artificial neuro-muscular pathway for kinematics-based fundamental frequency control
Himanshu Goyal, Pramit Saha, Bryan Gick +1
The fundamental frequency (F0) of human voice is generally controlled by changing the vocal fold parameters (including tension, length and mass), which in turn is manipulated by th…
SPEAK YOUR MIND! Towards Imagined Speech Recognition With Hierarchical Deep Learning
Pramit Saha, Muhammad Abdul-Mageed, Sidney Fels
Speech-related Brain Computer Interface (BCI) technologies provide effective vocal communication strategies for controlling devices through speech commands interpreted from brain s…