| 发明名称 |
OPTIMIZATIONS TO DECODING OF WFST MODELS FOR AUTOMATIC SPEECH RECOGNITION |
| 摘要 |
A method in a computing device for decoding a weighted finite state transducer (WFST) for automatic speech recognition is described. The method includes sorting a set of one or more WFST arcs based on their arc weight in ascending order. The method further includes iterating through each arc in the sorted set of arcs according to the ascending order until the score of the generated token corresponding to an arc exceeds a score threshold. The method further includes discarding any remaining arcs in the set of arcs that have yet to be considered. |
| 申请公布号 |
US2016093292(A1) |
申请公布日期 |
2016.03.31 |
| 申请号 |
US201414499049 |
申请日期 |
2014.09.26 |
| 申请人 |
Intel Corporation |
发明人 |
HOFER Joachim;STEMMER Georg |
| 分类号 |
G10L15/02;G10L15/14 |
主分类号 |
G10L15/02 |
| 代理机构 |
|
代理人 |
|
| 主权项 |
1. A method for performing weighted finite state transducer (WFST) speech recognition, comprising:
sorting a set of one or more WFST arcs based on their weight in ascending order; iterating through each arc in the sorted set of arcs according to the ascending order until the score of a generated token corresponding to the arc exceeds a score threshold; and discarding any remaining arcs in the set of arcs that have yet to be considered. |
| 地址 |
Santa Clara CA US |
