Harvesting speech datasets for linguistic research on the web
Loading...
No Access Until
Permanent Link(s)
Other Titles
Author(s)
Abstract
This is a white paper for a project that harvested audio and transcribed data from podcasts and news broadcasts on the web. Tools were developed to analyze the different uses of prosody (rhythm, stress and intonation) within spoken communication using phonetic analysis and machine learning.
Journal / Series
Volume & Issue
Description
Sponsorship
NSF 1035151 RAPID: Harvesting Speech Datasets for Linguistic Research on the Web (Digging into Data Challenge) and SSHRC Digging into Data Challenge Grant 869-2009-0004.
Date Issued
2013-10-29
Publisher
Keywords
prosody; intonation; comparatives; machine learning; spoken language; web science
Location
Effective Date
Expiration Date
Sector
Employer
Union
Union Local
NAICS
Number of Workers
Committee Chair
Committee Co-Chair
Committee Member
Degree Discipline
Degree Name
Degree Level
Related Version
Related DOI
Related To
Related Part
Based on Related Item
Has Other Format(s)
Part of Related Item
Related To
Related Publication(s)
Link(s) to Related Publication(s)
References
Link(s) to Reference(s)
Previously Published As
Final project white paper, Digging into Data Challenge
Government Document
ISBN
ISMN
ISSN
Other Identifiers
Rights
Rights URI
Types
article