OLAC Record oai:catalogue.elra.info:ELRA-S0409-01 |
Metadata | ||
Title: | MDT Mandarin Chinese Conversational Recognition Corpus – Complete set | |
Access Rights: | Rights available for: commercialUse | |
Date Available (W3CDTF): | 2020-05-20 | |
Date Issued (W3CDTF): | 2020-05-20 | |
Description: | This dataset consists of 4.98 hours of transcribed conversational speech in Mandarin Chinese, where 30 conversations are uttered by 32 speakers (16 males and 16 females). The audios are sampled at 16 kHz and quantized at 16 bits.For each conversation, there are two close-talking channels recorded via the microphones, one for each speaker, as well as three far-field channels recorded by iPhone, Androïd Phone, and recorder respectively. This corpus may be obtained as a complete set or by selecting specific channels (two close-talking channels shall be understood as 1 single channel): - MDT Mandarin Chinese Conversational Recognition Corpus - complete set (ELRA-S0409-01)- MDT Mandarin Chinese Conversational Recognition Corpus - 1 channel (ELRA-S0409-02)- MDT Mandarin Chinese Conversational Recognition Corpus - 2 channels (ELRA-S0409-03)- MDT Mandarin Chinese Conversational Recognition Corpus - 3 channels (ELRA-S0409-04) | |
Identifier: | ELRA-S0409-01 | |
ISLRN: 559-956-475-937-1 | ||
Identifier (URI): | https://catalog.elra.info/en-us/repository/browse/ELRA-S0409_01/ | |
Language: | Chinese | |
Language (ISO639): | zho | |
Medium: | Not specified | |
Publisher: | ELRA (European Language Resources Association) | |
Type (DCMI): | Sound | |
Type (OLAC): | primary_text | |
OLAC Info |
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Archive: | ELRA Catalogue of Language Resources | |
Description: | http://www.language-archives.org/archive/catalogue.elra.info | |
GetRecord: | OAI-PMH request for OLAC format | |
GetRecord: | Pre-generated XML file | |
OAI Info |
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OaiIdentifier: | oai:catalogue.elra.info:ELRA-S0409-01 | |
DateStamp: | 2020-05-20 | |
GetRecord: | OAI-PMH request for simple DC format | |
Search Info | ||
Citation: | n.a. 2020. ELRA (European Language Resources Association). | |
Terms: | dcmi_Sound iso639_zho olac_primary_text |