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LingoPros

Proficient Speech Analysis Tool

The goal of this team is twofold: Create a web portal for users to upload audio samples to be analyzed by Praat software scripts. The website will take the audio files and analyze them using Praat and return important features of the audio sample.

The second part is to develop a machine learning program that is based on the ToBI (Tone and Break Indices) speech annotation model. We will be using AuToBi, a java toolkit that analyzes audio files using this model. We will calculate the prosodic measures from this and then determine proficiency using Weka, a Java Machine Learning API.

Josh Shaffer

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Team Lead, Coder, Communications, Website

Luis Montes

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Coder (Node.js), Release Manager, Code Reviewer

Erik Strauss

Coder (Matlab), Team Website, Architect

Matthew Quintana

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Coder, Recorder, Editor

CONTACT INFORMATION:

Need to get in contact?

Josh Shaffer
Email: jls865@nau.edu
Luis Montes
Email: lm877@nau.edu
Erik Strauss
Email: ems394@nau.edu
Matthew Quintana
Email: mq56@nau.edu
Client #1
Dr. Okim Kang
Website
Client #2
Dr. David O. Johnson
Website
Mentor
Ana Paula Chaves Steinmacher
Email: acs549@nau.edu