“2013-04-19”版本间的差异
来自cslt Wiki
| 第8行： | 第8行： | ||
(1) 400 hour BN model. | (1) 400 hour BN model. | ||
| − | |||
| − | |||
| − | |||
(2) Tencent test result: 70h training data(2 day, 15 machines, 10 threads), 88k LM, general test case: | (2) Tencent test result: 70h training data(2 day, 15 machines, 10 threads), 88k LM, general test case: | ||
| 第18行： | 第15行： | ||
dnn-2: 34% 9 frame window, state-based tree | dnn-2: 34% 9 frame window, state-based tree | ||
| + | (3) GPU & CPU merge. Invesigate the possibility to merge GPU and | ||
| + | CPU code. Try to find out an easier way. (1 week) | ||
| − | ( | + | (4) L-1 sparse initial training. |
3.Kaldi/HTK merge | 3.Kaldi/HTK merge | ||
(1) HTK2Kaldi: the tool with Kaldi does not work. | (1) HTK2Kaldi: the tool with Kaldi does not work. | ||
| − | (2) Kaldi2HTK: done with implementation. Testing | + | (2) Kaldi2HTK: done with implementation. Testing? |
4. Embedded progress | 4. Embedded progress | ||
| 第30行： | 第29行： | ||
(1). Some large performance (speed) degradation with the embedded platform(1/60). | (1). Some large performance (speed) degradation with the embedded platform(1/60). | ||
| − | (2). QA LM training | + | (2). Planning for sparse DNN. |
| + | |||
| + | (3). QA LM training, Mengyuan? | ||
2013年4月19日 (五) 06:24的版本
1. Data sharing
(1) AM/lexicon/LM are shared.
(2) LM count files are still in transfering.
2. DNN progress
(1) 400 hour BN model.
(2) Tencent test result: 70h training data(2 day, 15 machines, 10 threads), 88k LM, general test case:
gmmi-bmmi: 38.7% dnn-1: 28% 11 frame window, phone-based tree dnn-2: 34% 9 frame window, state-based tree
(3) GPU & CPU merge. Invesigate the possibility to merge GPU and
CPU code. Try to find out an easier way. (1 week)
(4) L-1 sparse initial training.
3.Kaldi/HTK merge
(1) HTK2Kaldi: the tool with Kaldi does not work. (2) Kaldi2HTK: done with implementation. Testing?
4. Embedded progress
(1). Some large performance (speed) degradation with the embedded platform(1/60).
(2). Planning for sparse DNN.
(3). QA LM training, Mengyuan?
