activity
20122020
most citedAccelerating Inference: towards a full Language, Compiler and Hardware stack

14 citations · 19 across the 5 of their papers we have counts for

collaborators

5 papers

eess.AS2020

On Front-end Gain Invariant Modeling for Wake Word Spotting

Yixin Gao, Noah D. Stein, Chieh-Chi Kao +4

Wake word (WW) spotting is challenging in far-field due to the complexities and variations in acoustic conditions and the environmental interference in signal transmission. A suite…

cs.SD2016★ 1 cited

Nonnegative tensor factorization with frequency modulation cues for blind audio source separation

Elliot Creager, Noah D. Stein, Roland Badeau +1

We present Vibrato Nonnegative Tensor Factorization, an algorithm for single-channel unsupervised audio source separation with an application to separating instrumental or vocal so…

cs.LG2015

A Dictionary Learning Approach for Factorial Gaussian Models

Y. Cem Subakan, Johannes Traa, Paris Smaragdis +1

In this paper, we develop a parameter estimation method for factorially parametrized models such as Factorial Gaussian Mixture Model and Factorial Hidden Markov Model. Our contribu…

stat.ML2014★ 4 cited

Nonnegative Tensor Factorization for Directional Blind Audio Source Separation

Noah D. Stein

We augment the nonnegative matrix factorization method for audio source separation with cues about directionality of sound propagation. This improves separation quality greatly and…

cs.SE2012★ 14 cited

Accelerating Inference: towards a full Language, Compiler and Hardware stack

Shawn Hershey, Jeff Bernstein, Bill Bradley +4

We introduce Dimple, a fully open-source API for probabilistic modeling. Dimple allows the user to specify probabilistic models in the form of graphical models, Bayesian networks,…