Name
Abstract | ||
|---|---|---|
The state-of-the-art speech recognition system developed by the AMIDA project and which performed well in the NIST RT'09 evaluation has been made available as a web service. The service provides free access to ASR aimed specifically at the scientific community. There are two ways in which this service can be accessed: via a standard web-browser and programmatically via an API. |
Year | Venue | Keywords |
|---|---|---|
2011 | 12TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2011 (INTERSPEECH 2011), VOLS 1-5 | speech recognition, interface, api, transcription, web service |
Field | DocType | Citations |
Speech analytics,Pattern recognition,Computer science,Audio mining,Speech recognition,NIST,Speaker recognition,Artificial intelligence,Natural language processing,Web service,Acoustic model | Conference | 1 |
PageRank | References | Authors |
0.35 | 4 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stuart N. Wrigley | 1 | 181 | 20.56 |
| Thomas Hain | 2 | 486 | 39.70 |