1. Matthew A. Calderwood
5608 15th
Ave NE #302, Seattle, WA 98105
Matthew.a.calderwood@gmail.com 615.415.5431
EDUCATION
UNIVERSITY OF WASHINGTON, SEATTLE, WA SUMMER 2016
Masters of Science in Computational Linguistics
 Thesis: Intonation Extraction Using Corpus-based Minimum Edit Distance
VANDERBILT UNIVERSITY, Nashville, TN MAY 2011
Bachelor of Arts inLinguistics
Technical Skills
Proficient in Python, Java/C#, Javascript, Linux/Windows, Machine Learning technologies, SpeechProcessing tools,
Microsoft Office.
EXPERIENCE
SPEECHACE, Seattle, WA March 2015 – Present
Software Developer/Speech Recognition Systems Specialist – March 2015 toPresent
 Designed and implemented a speech extraction algorithm using PRAAT scripting
 Projects (Researched,designed and implemented):
o A system for syllable level stress detection in human audio samples
o A sentence level prominence extraction algorithm based on probabilistic modeling with graphical
representations
o A voice activity detection algorithm with discriminative background noise cancellation in order to
determine when a user begins speaking in noisy environments (in progress)
Law Firm of Mario Ramos, PLLC – Nashville, TN
Web developer – July 2012 toJanuary2016
 Ran the firm’s website (HTML, Javascript, CSS)
 Developed and coded budgetary software for automatic detection of late payments (VBA)
 Served as on-site technical analyst for any technical issues that arose in the office
Papago ElementarySchool – Phoenix, AZ
Middle School Teaching Intern – Fall Semester 2011
 Taught 8th
grade Science, English, and Math
 Managed around 100 students in three groups, many of whom were not fluent in English
GRADUATE SCHOOL WORK
Thesis: Intonation Extraction UsingCorpus-based Minimum Edit Distance – August 2015to present
Abstract:
A system which classifies words into prominence categories basedon the ToBI intonation notation. Uses data fromcorpora
to determine whichintonation class requires the fewest weighted transitions.
Course Projects - August 2014 to present
 Implemented part-of-speech taggers using machine learning algorithms
 Implemented statistical methods for document classification
 Developed and coded automatic parsing for under-researched language (K’iche’ Maya) and machine
translation (simple sentences)
 Extracted and manipulated speech formant data for comparing vowel qualities between speakers of Southern
English and Southern-Midlands English
 Designed and implemented a ranking system of sociolinguistic variables based on Stochastic Optimality
Theory (in progress)