Title
New release of Mixer-6: Improved validity for phonetic study of speaker variation and identification.
Abstract
The Mixer series of speech corpora were collected over several years, principally to support annual NIST evaluations of speaker recognition (SR) technologies. These evaluations focused on conversational speech over a variety of channels and recording conditions. One of the series, Mixer-6, added a new condition, read speech, to support basic scientific research on speaker characteristics, as well as technology evaluation. With read speech it is possible to make relatively precise measurements of phonetic events and features, which can be correlated with the performance of speaker recognition algorithms, or directly used in phonetic analysis of speaker variability. The read speech, as originally recorded, was adequate for large-scale evaluations (e.g., fixed-text speaker ID algorithms) but only marginally suitable for acoustic-phonetic studies. Numerous errors due largely to speaker behavior remained in the corpus, with no record of their locations or rate of occurrence. We undertook the effort to correct this situation with automatic methods supplemented by human listening and annotation. The present paper describes the tools and methods, resulting corrections, and some examples of the kinds of research studies enabled by these enhancements.
Year
Venue
Keywords
2016
LREC 2016 - TENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION
corpus,speech,transcription
Field
DocType
Citations 
Computer science,Speech recognition,Natural language processing,Artificial intelligence
Conference
1
PageRank 
References 
Authors
0.36
6
5
Name
Order
Citations
PageRank
Eleanor Chodroff161.26
Matthew Maciejewski251.81
Jan Trmal323520.91
Sanjeev Khudanpur42155202.00
John J. Godfrey531164.52