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Taylor B Applebaum

from San Francisco, CA
Age ~34
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Also known as:
Hallie Applebaum, Applebaum B Taylor, Black Applebaum Taylor
Connected to:
Barbra G Applebaum, 57Bryan C Applebaum, 29Carla N Applebaum, 67Joseph F Applebaum, 56Kim A Applebaum, 69Manet D Applebaum, 54Marilyn Applebaum, 79Martin J Applebaum, 71Rita L Applebaum, 82Robert B Applebaum, 64

Taylor Applebaum Phones & Addresses

  • San Francisco, CA
  • Mountain View, CA
  • Falmouth, ME
  • Richmond, VA

Resumes

Resumes

Taylor Applebaum Photo 1

Senior Software Engineer

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Location:
San Francisco, CA
Industry:
Computer Software
Work:
Google
Senior Software Engineer
Education:
University of Richmond 2009 - 2013
Bachelors, Bachelor of Science, Mathematics
Skills:
Matlab
Latex
Programming
Java
Data Analysis
Abstract Algebra
Machine Learning
Linux
Public Speaking
Algorithms
C++
Languages:
English
Taylor Applebaum Photo 2

Taylor Applebaum

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Publications

Us Patents

Selective Adaptation And Utilization Of Noise Reduction Technique In Invocation Phrase Detection

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US Patent:
20200294496, Sep 17, 2020
Filed:
May 28, 2020
Appl. No.:
16/886139
Inventors:
- Mountain View CA, US
Yiteng Huang - Basking Ridge NJ, US
Turaj Zakizadeh Shabestary - San Francisco CA, US
Taylor Applebaum - San Francisco CA, US
International Classification:
G10L 15/20
G10L 15/02
G10L 15/08
G10L 15/22
G10L 21/0232
G10L 25/84
Abstract:
Techniques are described for selectively adapting and/or selectively utilizing a noise reduction technique in detection of one or more features of a stream of audio data frames. For example, various techniques are directed to selectively adapting and/or utilizing a noise reduction technique in detection of an invocation phrase in a stream of audio data frames, detection of voice characteristics in a stream of audio data frames (e.g., for speaker identification), etc. Utilization of described techniques can result in more robust and/or more accurate detections of features of a stream of audio data frames in various situations, such as in environments with strong background noise. In various implementations, described techniques are implemented in combination with an automated assistant, and feature(s) detected utilizing techniques described herein are utilized to adapt the functionality of the automated assistant.

Selective Adaptation And Utilization Of Noise Reduction Technique In Invocation Phrase Detection

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US Patent:
20200066263, Feb 27, 2020
Filed:
Jan 14, 2019
Appl. No.:
16/609619
Inventors:
- Mountain View CA, US
Yiteng Huang - Basking Ridge NJ, US
Turaj Zakizadeh Shabestary - San Francisco CA, US
Taylor Applebaum - San Francisco CA, US
International Classification:
G10L 15/20
G10L 15/02
G10L 25/84
G10L 21/0232
G10L 15/22
G10L 15/08
Abstract:
Techniques are described for selectively adapting and/or selectively utilizing a noise reduction technique in detection of one or more features of a stream of audio data frames. For example, various techniques are directed to selectively adapting and/or utilizing a noise reduction technique in detection of an invocation phrase in a stream of audio data frames, detection of voice characteristics in a stream of audio data frames (e.g., for speaker identification), etc. Utilization of described techniques can result in more robust and/or more accurate detections of features of a stream of audio data frames in various situations, such as in environments with strong background noise. In various implementations, described techniques are implemented in combination with an automated assistant, and feature(s) detected utilizing techniques described herein are utilized to adapt the functionality of the automated assistant.
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Taylor B Applebaum from San Francisco, CA, age ~34 Get Report