Multi-Language Conversational Telephone Speech 2014 - French Group
| Item Name: | Multi-Language Conversational Telephone Speech 2014 - French Group |
| Author(s): | Karen Jones, Stephanie Strassel, Kevin Walker, David Graff, Jonathan Wright |
| LDC Catalog No.: | LDC2026S14 |
| ISLRN: | 001-276-256-513-9 |
| DOI: | https://doi.org/10.35111/gcvj-6v94 |
| Release Date: | October 15, 2026 |
| Member Year(s): | 2026 |
| DCMI Type(s): | Sound |
| Sample Type: | .flac |
| Sample Rate: | 8000 |
| Data Source(s): | telephone conversations |
| Project(s): | NIST LRE |
| Application(s): | language identification |
| Language(s): | French, Haitian |
| Language ID(s): | fra, hat |
| License(s): |
LDC User Agreement for Non-Members |
| Online Documentation: | LDC2026S14 Documents |
| Licensing Instructions: | Subscription & Standard Members, and Non-Members |
| Citation: | Jones, Karen, et al. Multi-Language Conversational Telephone Speech 2014 - French Group LDC2026S14. Web Download. Philadelphia: Linguistic Data Consortium, 2026. |
| Related Works: | View |
Introduction
Multi-Language Conversational Telephone Speech 2014 - French Group was developed by the Linguistic Data Consortium (LDC) and is comprised of approximately 156.80 hours of Haitian Creole and West African French conversational telephone speech recordings.
The data was collected primarily to support research and technology evaluation in automatic language identification; portions of these recordings were used in the NIST 2015 and 2017 language recognition evaluations. The collection focused on language pair discrimination for 20 languages/dialects, some of which could be considered mutually intelligible or closely related.
Data
This corpus contains 722 recordings covering Haitian Creole and West African French. Participants were recruited by native speakers who contacted relatives and acquaintances in their social networks. Those native speakers made one call, typically lasting at least 8 minutes, to each acquaintance. The data was collected using LDC's telephone collection infrastructure. Human auditors labeled calls for language, callee gender, native-speaker status, and speech clarity.
All audio data is presented in FLAC-compressed MS-WAV (RIFF) file format (*.flac); when uncompressed, each file is 2 channels, recorded at 8000 samples/second with samples stored as 16-bit signed integers, representing a lossless conversion from the original mu-law sample data as captured digitally from the public telephone network. The following table summarizes the total number of calls, total number of hours of recorded audio, and the total size of compressed data:
| Group | Language | Calls | Hours | Size (GB) |
| French | Haitian Creole (fre-hat) | 412 | 88.18 | 4.33 |
| French | West African French (fre-waf) | 310 | 68.62 | 3.44 |
| Totals | 722 | 156.80 | 7.77 | |
Samples
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Updates
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