Real-time noise-robust speech detection
Name
713719359-MIT.pdf
Description
Full printable version
Size
10.96 MB
Format
Adobe PDF
Checksum (MD5)
5a8812238b9bd1875b2956dbc840027d
Author(s)
Luu, Kevin Y
Advisor(s)
James R. Glass and David Scott Cyphers.
Date Issued
2010
Publisher
Massachusetts Institute of Technology
Abstract
As part of the development of an autonomous forklift of the Agile Robotics Lab at MIT's Computer Science and Artificial Intelligence Lab (CSAIL), this thesis explores the effectiveness and application of various noise-robust techniques towards real-time speech detection in real environments. Dynamic noises in the environment (including motor noise, babble noise, and other noises in a warehouse setting) can dramatically alter the speech signal, making speech detection much more difficult. In addition to the noise environments, another issue is the urgent nature of the situation, leading to the production of shouted speech. Given these constraints, the forklift must be highly accurate in detecting speech at all times, since safety is a major concern in our application. This thesis analyzes different speech properties that would be useful in distinguishing speech from noise in various noise environments. We look at various features in an effort to optimize the overall shout detection system. In addition to identifying speech features, this thesis also uses common signal processing techniques to enhance the speech signals in audio waveforms. In addition to the optimal speech features and speech enhancement techniques, we present a shout detection algorithm that is optimized towards the application of the autonomous forklift. We measure the performance of the resulting system by comparing it to other baseline systems and show 38% improvement over a baseline task.
Description
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 87-89).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
M.I.T. theses are protected by
copyright. They may be viewed from this source for any purpose, but
reproduction or distribution in any format is prohibited without written
permission. See provided URL for inquiries about permission.
copyright. They may be viewed from this source for any purpose, but
reproduction or distribution in any format is prohibited without written
permission. See provided URL for inquiries about permission.
Persistent DSpace Link
