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19922026
most citedSpeech Commands: A Dataset for Limited-Vocabulary Speech Recognition

1.1k citations

Showing 2019Show all

7 papers · 1 filter

cs.SD2019

Speaker independence of neural vocoders and their effect on parametric resynthesis speech enhancement

Soumi Maiti, Michael I Mandel

Traditional speech enhancement systems produce speech with compromised quality. Here we propose to use the high quality speech generation capability of neural vocoders for better q…

q-bio.BM2019★ 38 cited

Perturbation Potentials to Overcome Order/Disorder Transitions in Alchemical Binding Free Energy Calculations

Rajat Kumar Pal, Emilio Gallicchio

We investigate the role of order/disorder transitions in alchemical simulations of protein-ligand absolute binding free energies. We show, in the context of a potential of mean for…

physics.bio-ph2019★ 10 cited

Inclusion of Enclosed Hydration Effects in the Binding Free Energy Estimation of Dopamine D3 Receptor Complexes

Rajat Kumar Pal, Steve Ramsey, Satishkumar Gadhiya +5

Confined hydration and conformational flexibility are some of the challenges encountered for the rational design of selective antagonists of G-protein coupled receptors. We present…

cond-mat.stat-mech2019★ 30 cited

Glass Polymorphism in TIP4P/2005 Water: A Description Based on the Potential Energy Landscape Formalism

Philip H. Handle, Francesco Sciortino, Nicolas Giovambattista

The potential energy landscape (PEL) formalism is a statistical mechanical approach to describe supercooled liquids and glasses. Here we use the PEL formalism to study the pressure…

cond-mat.stat-mech2019★ 33 cited

The Generalized Boltzmann Distribution is the Only Distribution in Which the Gibbs-Shannon Entropy Equals the Thermodynamic Entropy

Xiang Gao, Emilio Gallicchio, Adrian E. Roitberg

We show that the generalized Boltzmann distribution is the only distribution for which the Gibbs-Shannon entropy equals the thermodynamic entropy. This result means that the thermo…

eess.AS2019★ 4 cited

Speech denoising by parametric resynthesis

Soumi Maiti, Michael I Mandel

This work proposes the use of clean speech vocoder parameters as the target for a neural network performing speech enhancement. These parameters have been designed for text-to-spee…