Levantine Arabic QT Training Data Set 5, Speech
| Item Name: | Levantine Arabic QT Training Data Set 5, Speech |
| Author(s): | Mohamed Maamouri (project head), Tim Buckwalter, David Graff, Hubert Jin |
| LDC Catalog No.: | LDC2006S29 |
| ISBN: | 1-58563-377-1 |
| ISLRN: | 703-206-088-436-4 |
| DOI: | https://doi.org/10.35111/3bpn-2713 |
| Release Date: | February 15, 2006 |
| Member Year(s): | 2006 |
| DCMI Type(s): | Sound |
| Sample Type: | 2-channel ulaw |
| Sample Rate: | 8000 |
| Data Source(s): | telephone conversations |
| Project(s): | EARS |
| Application(s): | machine learning, machine translation, language teaching, language modeling |
| Language(s): | North Levantine Arabic, South Levantine Arabic |
| Language ID(s): | apc, ajp |
| License(s): |
LDC User Agreement for Non-Members |
| Online Documentation: | LDC2006S29 Documents |
| Licensing Instructions: | Subscription & Standard Members, and Non-Members |
| Citation: | Mohamed Maamouri (project head), et al. Levantine Arabic QT Training Data Set 5, Speech LDC2006S29. Web Download. Philadelphia: Linguistic Data Consortium, 2006. |
| Related Works: | View |
Introduction
Levantine Arabic QT Training Data Set 5, Speech contains 1,660 calls totalling approximately 250 hours of telephone conversation in Levantine Arabic. These calls were collected between 2003 and 2005. Corresponding transcriptions may be found in LDC2006T07.
Data
This corpus is the combination of four former training data sets: LDC2004E21 and LDC2004E22, LDC2004E65 and LDC2004E66, LDC2005S07 and LDC2005T03 and LDC2005S14 (Speech and Transcripts). More than half of the speakers are Lebanese, the others are Jordanian, Palestinian, and Syrian. The table below shows the distribution of the speakers' national origin:
- 559 Jordanian
- 1,853 Lebanese
- 355 Palestinian
- 67 Syrian
- 484 Levantine speakers whose national origin could not be determined.
Samples
For an example of this corpus, please listen to this audio sample in sphere format.
Updates
Eight sphere files were found to have incorrect headers. As of October, 2017 these files have been fixed. All copies downloaded after this date will have the correct files.