Pythia

Speech Interface Project for NAASIC's Self-Driving Car

CS 426 Senior Research Project

UNR Computer Science & Engineering Department
Spring 2019
Team Number: 16

Project Description

Pythia is a speech interface for UNR's self-driving car which allows intuitive two-way communication between driver and vehicle. Users can obtain real-time information about obstacle detection and vehicle status simply by asking, and at no point needing to take their eyes off the road. The speech interface also allows the car to make announcements when critical events, such as pedestrians entering the vehicle's path, occur. By providing a simple, yet powerful and easily extensible interface to the vehicle, Pythia allows drivers to safely check that the vehicle is operating correctly.

Members

Team

Sybille Horcholle

Bryson Lingenfelter

Nathan Thom

Advisor

Richard Kelley
Senior Engineer, NAASIC

Instructors

Sergiu Dascalu

Devrin Lee


Resources

Academic Literature

Online Resources

Project Material


Updates

April 26th, 2019

Official project video released

April 23rd, 2019

Project poster added to website

April 7th, 2019

Demo videos are now available

January 29th, 2019

Project website launched

November 22nd, 2018

unr_deeepspeech (a ROS package using Mozilla DeepSpeech for speech recognition) released