activity
20152022
most citedA Preliminary Study of Disentanglement With Insights on the Inadequacy of Metrics

3 citations · 22 across the 18 of their papers we have counts for

collaborators

20 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.SD2021★ 1 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.LG2019★ 2 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…

eess.IV2019★ 3 cited

A Study into Echocardiography View Conversion

Amir H. Abdi, Mohammad H. Jafari, Sidney Fels +2

Transthoracic echo is one of the most common means of cardiac studies in the clinical routines. During the echo exam, the sonographer captures a set of standard cross sections (ech…

cs.LG2019★ 3 cited

A Preliminary Study of Disentanglement With Insights on the Inadequacy of Metrics

Amir H. Abdi, Purang Abolmaesumi, Sidney Fels

Disentangled encoding is an important step towards a better representation learning. However, despite the numerous efforts, there still is no clear winner that captures the indepen…

eess.SP2019★ 1 cited

Reinforcement Learning for High-dimensional Continuous Control in Biomechanics: An Intro to ArtiSynth-RL

Amir H. Abdi, Masoud Malakoutian, Thomas Oxland +1

Neural control is an exciting mystery which we instinctively master. Yet, researchers have a hard time explaining the motor control trajectories. Physiologically accurate biomechan…

cs.HC2019

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…

cs.SD2019★ 3 cited

An extended two-dimensional vocal tract model for fast acoustic simulation of single-axis symmetric three-dimensional tubes

Debasish Ray Mohapatra, Victor Zappi, Sidney Fels

The simulation of two-dimensional (2D) wave propagation is an affordable computational task and its use can potentially improve time performance in vocal tracts' acoustic analysis.…

cs.LG2019

Variational Shape Completion for Virtual Planning of Jaw Reconstructive Surgery

Amir H. Abdi, Mehran Pesteie, Eitan Prisman +2

The premorbid geometry of the mandible is of significant relevance in jaw reconstructive surgeries and occasionally unknown to the surgical team. In this paper, an optimization fra…

cs.LG2019★ 1 cited

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…

cs.LG2019★ 1 cited

Deep Learning the EEG Manifold for Phonological Categorization from Active Thoughts

Pramit Saha, Muhammad Abdul-Mageed, Sidney Fels

Speech-related Brain Computer Interfaces (BCI) aim primarily at finding an alternative vocal communication pathway for people with speaking disabilities. As a step towards full dec…

cs.LG2019

Hierarchical Deep Feature Learning For Decoding Imagined Speech From EEG

Pramit Saha, Sidney Fels

We propose a mixed deep neural network strategy, incorporating parallel combination of Convolutional (CNN) and Recurrent Neural Networks (RNN), cascaded with deep autoencoders and…

cs.SD2018★ 2 cited

Sound-Stream II: Towards Real-Time Gesture Controlled Articulatory Sound Synthesis

Pramit Saha, Debasish Ray Mohapatra, Praneeth SV +1

We present an interface involving four degrees-of-freedom (DOF) mechanical control of a two dimensional, mid-sagittal tongue through a biomechanical toolkit called ArtiSynth and a…

cs.SD2018

Limitations of Source-Filter Coupling In Phonation

Debasish Ray Mohapatra, Sidney Fels

The coupling of vocal fold (source) and vocal tract (filter) is one of the most critical factors in source-filter articulation theory. The traditional linear source-filter theory h…

cs.LG2018★ 2 cited

Muscle Excitation Estimation in Biomechanical Simulation Using NAF Reinforcement Learning

Amir H. Abdi, Pramit Saha, Praneeth Srungarapu +1

Motor control is a set of time-varying muscle excitations which generate desired motions for a biomechanical system. Muscle excitations cannot be directly measured from live subjec…

cs.SD2018★ 3 cited

Towards Automatic Speech Identification from Vocal Tract Shape Dynamics in Real-time MRI

Pramit Saha, Praneeth Srungarapu, Sidney Fels

Vocal tract configurations play a vital role in generating distinguishable speech sounds, by modulating the airflow and creating different resonant cavities in speech production. T…

cs.SD2015

Spectral Study of the Vocal Tract in Vowel Synthesis: A Comparison between 1D and 3D Acoustic Analysis

Negar M. Harandi, Daniel Aalto, Antti Hannukainen +2

A state-of-the-art 1D acoustic synthesizer has been previously developed, and coupled to speaker-specific biomechanical models of oropharynx in ArtiSynth. As expected, the formant…