Multi-Language Conversational Telephone Speech 2011 -- Mandarin Chinese
| Item Name: | Multi-Language Conversational Telephone Speech 2011 -- Mandarin Chinese |
| Author(s): | Karen Jones, David Graff, Kevin Walker, Stephanie Strassel |
| LDC Catalog No.: | LDC2020S05 |
| ISBN: | 1-58563-927-3 |
| ISLRN: | 149-567-413-970-6 |
| DOI: | https://doi.org/10.35111/h61y-f636 |
| Release Date: | May 15, 2020 |
| Member Year(s): | 2020 |
| DCMI Type(s): | Sound |
| Sample Type: | pcm |
| Sample Rate: | 8000 |
| Data Source(s): | telephone conversations |
| Project(s): | NIST LRE |
| Application(s): | language identification |
| Language(s): | Mandarin Chinese |
| Language ID(s): | cmn |
| License(s): |
LDC User Agreement for Non-Members |
| Online Documentation: | LDC2020S05 Documents |
| Licensing Instructions: | Subscription & Standard Members, and Non-Members |
| Citation: | Jones, Karen, et al. Multi-Language Conversational Telephone Speech 2011 -- Mandarin Chinese LDC2020S05. Web Download. Philadelphia: Linguistic Data Consortium, 2020. |
| Related Works: | View |
Introduction
Multi-Language Conversational Telephone Speech 2011 -- Mandarin Chinese was developed by the Linguistic Data Consortium (LDC) and is comprised of approximately 25 hours of telephone speech in Mandarin Chinese.
The data were collected primarily to support research and technology evaluation in automatic language identification, and portions of these telephone calls were used in the NIST 2011 Language Recognition Evaluation (LRE). LRE 2011 focused on language pair discrimination for 24 languages/dialects, some of which could be considered mutually intelligible or closely related.
LDC has also released the following as part of the Multi-Language Conversational Telephone Speech 2011 series:
- Slavic Group (LDC2016S11)
- Turkish (LDC2017S09)
- South Asian (LDC2017S14)
- Central Asian (LDC2018S03)
- Central European (LDC2018S08)
- Spanish (LDC2018S12)
- Arabic (LDC2019S02)
- English (LDC2019S06)
- East Asian (LDC2019S15)
Data
Participants were recruited by native speakers who contacted acquaintances in their social network. Those native speakers made one call, up to 15 minutes, to each acquaintance. The data was collected using LDC's telephone collection infrastructure, comprised of three computer telephony systems. Human auditors labeled calls for callee gender, dialect type and noise. Demographic information about the participants was not collected.
All audio data are 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 | lng | #calls | #hours | #MB |
| chinese | cmn | 132 | 25.6 | 1260 |
Samples
Please listen to this audio sample.
Updates
None at this time.