CSLU: Names Release 1.3

Item Name: CSLU: Names Release 1.3
Author(s): Yeshwant Muthusamy, Ronald Allan Cole, Beatrice Oshika
LDC Catalog No.: LDC2006S39
ISBN: 1-58563-394-1
ISLRN: 972-485-703-759-3
DOI: https://doi.org/10.35111/qyw6-w652
Release Date: July 21, 2006
Member Year(s): 2006
DCMI Type(s): Sound
Sample Type: ulaw
Sample Rate: 8000
Data Source(s): telephone speech
Application(s): speech synthesis
Language(s): English
Language ID(s): eng
License(s): CSLU Agreement
Online Documentation: LDC2006S39 Documents
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Muthusamy, Yeshwant, Ronald Cole, and Beatrice Oshika. CSLU: Names Release 1.3 LDC2006S39. Web Download. Philadelphia: Linguistic Data Consortium, 2006.

A common problem in training and developing speech recognition systems is scarcity of data, especially particular phonemic contexts. The Center for Spoken Language Understanding is attempting to address this problem with the Names Corpus. The Names Corpus is a collection of name utterances, both first and last names, from several thousand different speakers over the telephone. Name utterances are "spontaneous" in that the subject is not reading from a word list.

Another area of active research is the development of name Recognition systems. The Names Corpus is a useful resource for addressing this problem.

The utterances in this corpus were taken from many other telephone speech data collections that have been completed at the CSLU. In most data collections, the callers were asked to leave their name at some point. Also, the callers would occasionally leave their name in the midst of another utterance. The names in these situations were extracted out of the host utterance and added to the Names Corpus.

Each file in the Names Corpus has an orthographic transcription following the CSLU Labeling Conventions. Also, to take advantage of the phonemic variability, many of the utterances have been phonetically transcribed. The selection of files to phonetically transcribe was constrained by a process that selected files that were suspected to contain phonetic contexts that had not yet been transcribed.

Release 1.3 of this corpus contains 24,245 files. All of these have been phonetically labeled. Approximately 40% of the bigram phonemic contexts possible, without regard to language constraints, are represented.


For an example of the data in this publication, please review this audio sample and its transcription.

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