This paper describes an end-to-end speech recognition model based on attention mechanism,which adopts an encoder decoder architecture and can directly convert speech signals into text.In the Librispeech dataset,the model achieved a word error rate of 5.8％,which is better than most traditional speech recognition systems.
维普
万方数据