Audio Acoustic Engineer

CHRISTOPHER T. ARNOLD

**** ********* ********** *** #*, San Jose CA 95126 • **********@*****.*** • +1-520-***-**** EDUCATION

UNIVERSITY OF SALFORD Manchester, UK

Masters of Science in Acoustics Graduated Fall 2015 UNIVERSITY OF ARIZONA Tucson, AZ, USA

Bachelors of Science in Electrical and Computer Engineering Graduated Spring 2013 PROFESSIONAL EXPERIENCE

PLANTRONICS Santa Cruz, CA

Audio Engineer August 2017 - Present

• Develops test databases following new standards and internal acoustic studies.

• Performs standard telephony measurements and tunes headsets for optimal performance.

• Supports the system teams by evaluating new product prototypes and manufacturing samples. GOERTEK, INC. Santa Clara, CA

Acoustic Engineer April 2016 - August 2017

• Analyzed measurement data to balance transducer performance and long term reliability.

• Developed test plans to determine the root cause of failures and ensured the proper corrective actions were carried out to improve production yield.

• Performed FEA and lumped parameter simulations to predict acoustic performance for new designs.

• Supported the customer during the design stage and through the complete life cycle of products. ADDITIONAL EXPERIENCE

MATTLIND MASTERING AND RECORDING Tucson, AZ

Audio Engineer Internship 2013-2014

• Assisted in acoustical room treatment and microphone preamplifier design.

• Performed sweep measurements and analysis of impulse response graphs for different recording rooms.

• Tested various kinds of electronic devices: compressors, mixers, surround sound packs.

• Developed strong listening skills to recognize audio artifacts such as clipping and sound coloration. Graduate Dissertation: Speech Modification

• For my master’s thesis, I investigated several algorithms that boost speech intelligibility in noise to see if the performance could by using dynamic range compression.

• Standard speech objective intelligibility measures (OIMs) were used to tune the modification parameters for optimal performance.

• A subjective listening test was used to evaluate 4 algorithms with and without compression. It was found that noise independent methods show great improvement with fast-acting compression, which agreed with the OIMs. Loudspeaker Simulation Models:

• Developed simulation models for moving coil and distributed mode loudspeakers using MATLAB and COMSOL for school projects.

• Compared the performance of both using different T&S parameters and material types.

• Frequency response and directivity served as the main factors to determine “good performance”. SKILLS

• Software programs: Matlab, COMSOL, PTC Creo, Sound Check, Audio Precision, ACQUA, & Microsoft Office.

• Proficient with different electrical test equipment: oscilloscopes, function generators, spectrum analyzers, amplifiers, and power supplies.

• Experience with running acoustical measurements in anechoic/reverberant chambers to characterize performance of microphones/loudspeakers.

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