OLAC Record oai:catalogue.elra.info:ELRA-S0453 |
Metadata | ||
Title: | Changsha 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: | 2,000 Changsha natives participated in the recording, covering multiple age groups, with a balanced gender distribution and authentic accent. The recorded text is rich in content, covering general, interactive, car, home and other categories. Local people in changsha check and proofread. The accuracy of sentences is 95%. It is mainly applied to speech recognition, machine translation and voiceprint recognition.Format:16kHz, 16bit, uncompressed wav, mono channelRecording environment:quiet indoor environment, without echoRecording content (read speech):generic category; human-machine interaction category; smart home command and control category; numbers; dialectSpeaker:2,301 people, 55% of which are female.Device:Android mobile phone, iPhoneLanguage:Changsha dialectTranscription content:text, noisy symbols, special identifiersApplication scenario:speech recognition, voiceprint recognitionAccuracy rate:95% (the accuracy rate of noise symbols and other identifiers is not included) | |
Identifier: | ELRA-S0453 | |
ISLRN: 520-610-210-012-3 | ||
Identifier (URI): | https://catalog.elra.info/en-us/repository/browse/ELRA-S0453/ | |
Language: | Chinese | |
Language (ISO639): | zho | |
Medium: | Not specified | |
Publisher: | ELRA (European Language Resources Association) | |
Type (DCMI): | Sound | |
Type (OLAC): | primary_text | |
OLAC Info |
||
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 |
||
OaiIdentifier: | oai:catalogue.elra.info:ELRA-S0453 | |
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 |