Speech R&D Engineer
Current
Nov 2013 - Present
AeroLeads people directory · profile
Pascal Clark Email & Phone Number
Speech R&D Engineer
at
Apple
1 work email found
@apple.com
LinkedIn matched
✓ Verified Jun 2026
4 data sources
Profile completeness 100%
Who is Pascal Clark? Overview
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Quick answer
Pascal Clark is listed as Speech R&D Engineer at Apple, based in Cupertino, California, United States. AeroLeads shows a work email signal at apple.com and a matched LinkedIn profile for Pascal Clark.
Pascal Clark previously worked as Post-doctoral researcher at Human Language Technology Center Of Excellence, Johns Hopkins University and Ph.D. student and research assistant at Dept. Of Electrical Engineering, Uw. Pascal Clark holds Ph.D., Signal Processing, Electrical Engineering from University Of Washington.
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Email format at Apple
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{first_initial}{last}@apple.com
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Profile bio
About Pascal Clark
My background is in algorithms for speech and audio signal processing and analysis.
Listed skills include Signal Processing, Algorithms, Machine Learning, Matlab, and 3 others.
Current workplace
Pascal Clark's current company
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6 roles
Pascal Clark work experience
A career timeline built from the work history available for this profile.
Post-Doctoral Researcher
Human Language Technology Center Of Excellence, Johns Hopkins University
I investigated signal processing methods for the "front-end" of automatic speech recognition. My main projects were frequency-shift correction in degraded radio channels, and speech activity detection using subband modulation analysis.
May 2012 - Oct 2013
Ph.D. Student And Research Assistant
Dept. Of Electrical Engineering, Uw
I developed algorithms for the analysis and modification of nonstationary acoustic signals such as speech and underwater propeller cavitation. Topics included modulation filtering and analysis, phase analysis in random signals, time-frequency representations, clipping repair, and gap interpolation.
Jun 2006 - May 2012
Pre-Doctoral Lecturer
I instructed a junior-level undergraduate course on digital signal processing. We covered linear systems, convolution, filters, Fourier and Z transforms.
Mar 2011 - Jun 2011
Visiting Graduate Student Researcher At The Clsp
Johns Hopkins University
I took part in an intensive workshop in large scale automatic speech recognition using the SCARF framework. With my advisor and colleagues, I used modulation constraints to define new time-frequency features for speech recognition.
Jun 2010 - Jul 2010
Summer Intern
I worked in the Advanced RF Sensors and Exploitation Group, and my project involved feature selection for a ground target classification system based on Doppler radar signatures.
Jun 2009 - Aug 2009
3 education records
Pascal Clark education
Ph.D., Signal Processing, Electrical Engineering
University Of Washington
M.S., Signal Processing, Electrical Engineering
University Of Washington
B.S., Electrical Engineering
University Of Washington
FAQ
Frequently asked questions about Pascal Clark
Quick answers generated from the profile data available on this page.
What company does Pascal Clark work for?
Pascal Clark works for Apple.
What is Pascal Clark's role at Apple?
Pascal Clark is listed as Speech R&D Engineer at Apple.
What is Pascal Clark's email address?
AeroLeads has found 1 work email signal at @apple.com for Pascal Clark at Apple.
Where is Pascal Clark based?
Pascal Clark is based in Cupertino, California, United States while working with Apple.
What companies has Pascal Clark worked for?
Pascal Clark has worked for Apple, Human Language Technology Center Of Excellence, Johns Hopkins University, Dept. Of Electrical Engineering, Uw, University Of Washington, and Johns Hopkins University.
How can I contact Pascal Clark?
You can use AeroLeads to view verified contact signals for Pascal Clark at Apple, including work email, phone, and LinkedIn data when available.
What schools did Pascal Clark attend?
Pascal Clark holds Ph.D., Signal Processing, Electrical Engineering from University Of Washington.
What skills is Pascal Clark known for?
Pascal Clark is listed with skills including Signal Processing, Algorithms, Machine Learning, Matlab, Latex, Digital Signal Processors, and Statistical Signal Processing.
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