“Zhiyuan Tang 2015-08-31”版本间的差异
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| （相同用户的2个中间修订版本未显示） | |||
| 第4行： | 第4行： | ||
1. got some results on experiments on WSJ (bidirectional, more layers), seemed that more layers wouldn't help and | 1. got some results on experiments on WSJ (bidirectional, more layers), seemed that more layers wouldn't help and | ||
| − | + | basic bidirectional neither, while pre-trained bidirectional one looked better; | |
2. got a glimpse of the capability of end-to-end ASR with B-LSTM on bigger data (1000+ hours), more to be waited; | 2. got a glimpse of the capability of end-to-end ASR with B-LSTM on bigger data (1000+ hours), more to be waited; | ||
| 第13行： | 第13行： | ||
This week: | This week: | ||
| − | 1. | + | 1. get the result of fine-tuned bidirectional net on WSJ with dark knowledge, then conclude the experiments; |
| − | 2. get more results of end-to-end ASR with B-LSTM on bigger data (1000+ hours) | + | 2. get more results of end-to-end ASR with B-LSTM on bigger data (1000+ hours); |
| + | |||
| + | 3. some document/paper work. | ||
2015年8月31日 (一) 14:04的最后版本
Last week:
1. got some results on experiments on WSJ (bidirectional, more layers), seemed that more layers wouldn't help and
basic bidirectional neither, while pre-trained bidirectional one looked better;
2. got a glimpse of the capability of end-to-end ASR with B-LSTM on bigger data (1000+ hours), more to be waited;
3. revised the Chinese paper on Pronounciation Vector (following Language Vector).
This week:
1. get the result of fine-tuned bidirectional net on WSJ with dark knowledge, then conclude the experiments;
2. get more results of end-to-end ASR with B-LSTM on bigger data (1000+ hours);
3. some document/paper work.
