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Marko S Stamenovic

from Jamaica Plain, MA
Age ~39
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Also known as:
Stamenovic Marko, Mark C
Related to:
Eva Stamenovic, 75Dimitrije Stamenovic, 71
Connected to:
Mihail M Stamenov, 44Barbara L Stamer, 78Dylan W Stamer, 42Ellen C Stamer, 75Teresa L Stamer, 63Jorge E Stamers, 47Ronald D Stamerro, 70Carolyn A Stames, 59Jonathan A Stames, 36Rebecca M Stames, 63

Marko Stamenovic Phones & Addresses

  • Jamaica Plain, MA
  • Truro, MA
  • 98 Hancock St APT 2, Brooklyn, NY 11216
  • Brookline, MA
  • 98 Hancock St, Brooklyn, NY 11216

Work

Company: Bose corporation Oct 2018 Position: Technician lead at bose hear

Education

Degree: Masters School / High School: University of Rochester 2015 to 2016 Specialities: Computer Engineering, Electronics Engineering

Skills

Machine Learning • Python • Apache Spark • Scala • Digital Signal Processors • Music • Programming • Matlab • Project Management • Research • Natural Language Processing • Computer Vision • Tensorflow • Artificial Neural Networks

Languages

English • Czech • Serbian

Industries

Computer Software

Resumes

Resumes

Marko Stamenovic Photo 1

Technician Lead At Bose Hear

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Location:
New York, NY
Industry:
Computer Software
Work:
Bose Corporation
Technician Lead at Bose Hear
University of Rochester Jan 2016 - Dec 2016
Graduate Research Assistant
Recurse Center Sep 2016 - Dec 2016
Recurser
University of Rochester May 2016 - Dec 2016
Research Consultant
Aecom Jul 2008 - Dec 2015
Environmental Engineer
Education:
University of Rochester 2015 - 2016
Masters, Computer Engineering, Electronics Engineering New York University 2016 - 2016
Massachusetts College of Art and Design 2012 - 2012
New York University 2006 - 2008
Boston University 2003 - 2007
Bachelors, Mechanical Engineering The University of Rochester
Master of Science, Masters University of Rochester
Master of Science, Masters Stanford University
Skills:
Machine Learning
Python
Apache Spark
Scala
Digital Signal Processors
Music
Programming
Matlab
Project Management
Research
Natural Language Processing
Computer Vision
Tensorflow
Artificial Neural Networks
Languages:
English
Czech
Serbian

Publications

Us Patents

Wearable Hearing Assist Device With Artifact Remediation

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US Patent:
20220369047, Nov 17, 2022
Filed:
May 17, 2021
Appl. No.:
17/321865
Inventors:
- Framingham MA, US
Marko Stamenovic - Jamaica Plain MA, US
Li-Chia Yang - Chelmsford MA, US
International Classification:
H04R 25/00
Abstract:
Various implementations include systems for processing audio signals to remove artifacts introduced by a machine learning system in challenging environments. In particular implementations, a method includes generating a processed audio signal for a hearing assistance device in which the processed audio signal is intended to perceptually dominate a user auditory experience, including: processing an unprocessed audio signal received by the hearing assistance device, wherein the processing includes utilizing a machine learning (ML) system to generate an ML enhanced audio signal; determining a mixing coefficient from an environmental noise assessment; mixing the ML enhanced audio signal with the unprocessed audio signal using the mixing coefficient to generate the processed audio signal; and outputting the processed audio signal.

Enhancement Of Audio From Remote Audio Sources

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US Patent:
20210082450, Mar 18, 2021
Filed:
Feb 5, 2020
Appl. No.:
16/782692
Inventors:
- Framingham MA, US
Andrew Todd Sabin - Chicago IL, US
Andrew Jackson Stockton X - Jamaica Plain MA, US
Daniel Ross Tengelsen - Framingham MA, US
Marko Stamenovic - Jamaica Plain MA, US
International Classification:
G10L 21/0232
G10L 25/18
H04R 1/40
H04R 3/00
Abstract:
An audio enhancement method includes receiving a first input signal representative of audio captured using an array of two or more sensors, the first input signal characterized by a first signal-to-noise ratio (SNR), with the audio being the signal-of-interest. The method also includes receiving a second input signal representative of the audio, the second input signal characterized by a second SNR. The second SNR is higher than the first SNR. The method further includes computing a spectral mask based on a frequency domain representation of the second input signal, and processing a frequency domain representation of the first input signal based on the spectral mask to generate one or more driver signals. The method further includes driving one or more acoustic transducers using the generated driver signals.

Enhancement Of Audio From Remote Audio Sources

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US Patent:
20210084407, Mar 18, 2021
Filed:
Feb 5, 2020
Appl. No.:
16/782610
Inventors:
- Framingham MA, US
Andrew Todd Sabin - Chicago IL, US
Andrew Jackson Stockton X - Jamaica Plain MA, US
Daniel Ross Tengelsen - Framingham MA, US
Marko Stamenovic - Jamaica Plain MA, US
Wade P. Torres - Attleboro MA, US
International Classification:
H04R 3/00
H04R 3/04
H04R 1/40
G10L 21/0232
H04S 7/00
H04R 5/027
Abstract:
An audio enhancement method includes receiving a first plurality of input signals representative of audio captured using an array of two or more sensors, the first plurality of input signals characterized by a first signal-to-noise ratio (SNR), with the audio being the signal-of-interest. The method also includes receiving a second input signal representative of the audio, the second input signal characterized by a second SNR. The second SNR is higher than the first SNR. The method further includes combining the first plurality of input signals and the second input signal to generate one or more driver signals, and driving one or more acoustic transducers using the one or more driver signals to generate an acoustic signal representative of the audio. The driver signals include spatial information derived from the first plurality of input signals, and are characterized by a third SNR that is higher than the first SNR.
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Marko S Stamenovic from Jamaica Plain, MA, age ~39 Get Report