OLAC Record oai:catalogue.elra.info:ELRA-S0455 |
Metadata | ||
Title: | Wuhan Dialect Speech Data by Mobile Phone - 997 Hours | |
Access Rights: | Rights available for: commercialUse | |
Date Available (W3CDTF): | 2022-10-06 | |
Date Issued (W3CDTF): | 2022-10-06 | |
Description: | Mobile phone captured audio data of Wuhan dialect, 997 hours in total, recorded by more than 2,000 Wuhan dialect native speakers. The recorded text covers generic, interactive, on-board, home and other categories, with rich contents. Wuhan locals participate in quality check and proofreading. Sentence accuracy rate reaches 95 %; this data set can be used for automatic speech recognition, machine translation, and voiceprint recognition.Format:16kHz, 16bit, uncompressed wav, mono channelRecording environments:quiet indoor environment, without echoRecording content (read speech):generic category; human-machine interaction category; smart home command and control category; numbers; dialectDemographics:2,291 people, 55% of which are female.Transcription content:text, noisy symbols, special identifiersDevice:Android mobile phone, iPhoneLanguage:Wuhan dialectAccuracy rate:95% (the accuracy rate of noise symbols and other identifiers is not included)Application scenarios:speech recognition, voiceprint recognition | |
Identifier: | ELRA-S0455 | |
ISLRN: 822-900-971-360-0 | ||
Identifier (URI): | https://catalog.elra.info/en-us/repository/browse/ELRA-S0455/ | |
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-S0455 | |
DateStamp: | 2022-10-06 | |
GetRecord: | OAI-PMH request for simple DC format | |
Search Info | ||
Citation: | n.a. 2022. ELRA (European Language Resources Association). | |
Terms: | dcmi_Sound iso639_zho olac_primary_text |