NIST Meeting Pilot Corpus Transcripts and Metadata
| Item Name: | NIST Meeting Pilot Corpus Transcripts and Metadata |
| Author(s): | John S. Garofolo, Martial Michel, Vincent M. Stanford, Elham Tabassi, Jonathan G. Fiscus, Christophe D. Laprun, Nicolas Pratz, Jerome Lard, Stephanie Strassel |
| LDC Catalog No.: | LDC2004T13 |
| ISBN: | 1-58563-303-8 |
| ISLRN: | 682-718-319-529-5 |
| DOI: | https://doi.org/10.35111/dahz-tn26 |
| Release Date: | July 12, 2004 |
| Member Year(s): | 2004 |
| DCMI Type(s): | Text |
| Data Source(s): | meeting speech, microphone conversation |
| Project(s): | NIST Automatic Meeting Recognition |
| Application(s): | automatic content extraction, discourse analysis, information retrieval, language modeling, speaker identification, speaker verification, speech recognition |
| Language(s): | English |
| Language ID(s): | eng |
| License(s): |
LDC User Agreement for Non-Members |
| Online Documentation: | LDC2004T13 Documents |
| Licensing Instructions: | Subscription & Standard Members, and Non-Members |
| Citation: | Garofolo, John S., et al. NIST Meeting Pilot Corpus Transcripts and Metadata LDC2004T13. Web Download. Philadelphia: Linguistic Data Consortium, 2004. |
| Related Works: | View |
Introduction
NIST Meeting Pilot Corpus Transcripts and Metadata was produced by the Linguistic Data Consortium (LDC) and contains the full speech transcripts created by LDC from about 15 hours of speech as well as a metadata database with useful information about the meeting forums, topics, participants, recording conditions, and equipment. The corresponding speech files are available as the NIST Meeting Pilot Corpus Speech (LDC2004S09). These recordings and transcripts were made for the NIST Automatic Meeting Recognition Project.
Huge efforts are being expended in mining information in newswire, news broadcasts, and conversational speech, however, little has been done to address such applications in the more challenging and equally important meeting domain. Meetings have several important properties not found in other domains, such as being diverse in formality and vocabulary, being highly interactive across multiple participants, using distant microphones, using overlapping camera views, and necessitating multi-media information integration.
The development of smart meeting room core technologies that can automatically recognize and extract important information from multi-media sensor inputs will provide an invaluable resource for a variety of business, academic, and governmental applications.
Data
The data for the NIST Automatic Meeting Recognition Project was collected at the NIST Gaithersburg, MD, Meeting Data Collection Laboratory and includes 19 meetings recorded between November 2001 and December 2003.
The Pilot Corpus contains a total of 15:09:24 of exploitable data. A total of 61 subjects were involved in these meetings. The following is a breakdown by participant origin and sex:
| # Male Instances | # Unique Males | # Female Instances | # Unique Females | Total Participants Instances | Total Unique Participants | |
|---|---|---|---|---|---|---|
| Native | 54 | 30 | 33 | 15 | 87 | 45 |
| Non-Native | 18 | 11 | 10 | 5 | 28 | 16 |
| Total | 72 | 41 | 43 | 20 | 115 | 61 |
The full transcriptions included in this release were created using a "quick" transcription procedure and stored in TXT format. There are approximately 151 K-words (thousands of words) and 6K unique words. A variety of information was manually recorded during the collection of the pilot corpus about the subjects and recording setup. This information was stored in a relational database. An HTML snapshot of the database, done on June 15th, 2004, has been included here under the "metadata" directory.
Samples
Please view the following sample:
Updates
There are no updates available at this time.