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_sources/recipes/aishell/index.rst.txt
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@ -19,3 +19,4 @@ It can be downloaded from `<https://www.openslr.org/33/>`_
tdnn_lstm_ctc
conformer_ctc
stateless_transducer

1
_sources/recipes/timit/index.rst.txt
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@ -6,3 +6,4 @@ TIMIT
tdnn_ligru_ctc
tdnn_lstm_ctc

28
_sources/recipes/timit/tdnn_ligru_ctc.rst.txt
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@ -148,10 +148,10 @@ Some commonly used options are:
$ ./tdnn_ligru_ctc/decode.py --epoch 25 --avg 17
uses the average of ``epoch-9.pt``, ``epoch-10.pt``, ``epoch-11.pt``,
``epoch-12.pt``, ``epoch-13.pt``, ``epoch-14.pt``, ``epoch-15.pt``,
``epoch-16.pt``, ``epoch-17.pt``, ``epoch-18.pt``, ``epoch-19.pt``,
``epoch-20.pt``, ``epoch-21.pt``, ``epoch-22.pt``, ``epoch-23.pt``,
uses the average of ``epoch-9.pt``, ``epoch-10.pt``, ``epoch-11.pt``,
``epoch-12.pt``, ``epoch-13.pt``, ``epoch-14.pt``, ``epoch-15.pt``,
``epoch-16.pt``, ``epoch-17.pt``, ``epoch-18.pt``, ``epoch-19.pt``,
``epoch-20.pt``, ``epoch-21.pt``, ``epoch-22.pt``, ``epoch-23.pt``,
``epoch-24.pt`` and ``epoch-25.pt``
for decoding.
@ -317,13 +317,13 @@ To decode with ``1best`` method, we can use:
.. code-block:: bash
./tdnn_ligru_ctc/pretrained.py
./tdnn_ligru_ctc/pretrained.py
--method 1best
--checkpoint ./tmp-ligru/icefall_asr_timit_tdnn_ligru_ctc/exp/pretrained_average_9_25.pt
--words-file ./tmp-ligru/icefall_asr_timit_tdnn_ligru_ctc/data/lang_phone/words.txt
--HLG ./tmp-ligru/icefall_asr_timit_tdnn_ligru_ctc/data/lang_phone/HLG.pt
./tmp-ligru/icefall_asr_timit_tdnn_ligru_ctc/test_waves/FDHC0_SI1559.WAV
./tmp-ligru/icefall_asr_timit_tdnn_ligru_ctc/test_waves/FELC0_SI756.WAV
--checkpoint ./tmp-ligru/icefall_asr_timit_tdnn_ligru_ctc/exp/pretrained_average_9_25.pt
--words-file ./tmp-ligru/icefall_asr_timit_tdnn_ligru_ctc/data/lang_phone/words.txt
--HLG ./tmp-ligru/icefall_asr_timit_tdnn_ligru_ctc/data/lang_phone/HLG.pt
./tmp-ligru/icefall_asr_timit_tdnn_ligru_ctc/test_waves/FDHC0_SI1559.WAV
./tmp-ligru/icefall_asr_timit_tdnn_ligru_ctc/test_waves/FELC0_SI756.WAV
./tmp-ligru/icefall_asr_timit_tdnn_ligru_ctc/test_waves/FMGD0_SI1564.WAV
The output is:
@ -337,7 +337,7 @@ The output is:
2021-11-08 20:41:38,697 INFO [pretrained.py:210] Reading sound files: ['./tmp-ligru/icefall_asr_timit_tdnn_ligru_ctc/test_waves/FDHC0_SI1559.WAV', './tmp-ligru/icefall_asr_timit_tdnn_ligru_ctc/test_waves/FELC0_SI756.WAV', './tmp-ligru/icefall_asr_timit_tdnn_ligru_ctc/test_waves/FMGD0_SI1564.WAV']
2021-11-08 20:41:38,704 INFO [pretrained.py:216] Decoding started
2021-11-08 20:41:39,819 INFO [pretrained.py:246] Use HLG decoding
2021-11-08 20:41:39,829 INFO [pretrained.py:267]
2021-11-08 20:41:39,829 INFO [pretrained.py:267]
./tmp-ligru/icefall_asr_timit_tdnn_ligru_ctc/test_waves/FDHC0_SI1559.WAV:
sil dh ih sh uw ah l iy v iy z ih sil p r aa sil k s ih m ey dx ih sil d w uh dx ih w ih s f iy l ih ng w ih th ih n ih m s eh l f sil jh
@ -362,8 +362,8 @@ To decode with ``whole-lattice-rescoring`` methond, you can use
--HLG ./tmp-ligru/icefall_asr_timit_tdnn_ligru_ctc/data/lang_phone/HLG.pt \
--G ./tmp-ligru/icefall_asr_timit_tdnn_ligru_ctc/data/lm/G_4_gram.pt \
--ngram-lm-scale 0.1 \
./tmp-ligru/icefall_asr_timit_tdnn_ligru_ctc/test_waves/FDHC0_SI1559.WAV
./tmp-ligru/icefall_asr_timit_tdnn_ligru_ctc/test_waves/FELC0_SI756.WAV
./tmp-ligru/icefall_asr_timit_tdnn_ligru_ctc/test_waves/FDHC0_SI1559.WAV
./tmp-ligru/icefall_asr_timit_tdnn_ligru_ctc/test_waves/FELC0_SI756.WAV
./tmp-ligru/icefall_asr_timit_tdnn_ligru_ctc/test_waves/FMGD0_SI1564.WAV
The decoding output is:
@ -378,7 +378,7 @@ The decoding output is:
2021-11-08 20:37:54,715 INFO [pretrained.py:210] Reading sound files: ['./tmp-ligru/icefall_asr_timit_tdnn_ligru_ctc/test_waves/FDHC0_SI1559.WAV', './tmp-ligru/icefall_asr_timit_tdnn_ligru_ctc/test_waves/FELC0_SI756.WAV', './tmp-ligru/icefall_asr_timit_tdnn_ligru_ctc/test_waves/FMGD0_SI1564.WAV']
2021-11-08 20:37:54,720 INFO [pretrained.py:216] Decoding started
2021-11-08 20:37:55,808 INFO [pretrained.py:251] Use HLG decoding + LM rescoring
2021-11-08 20:37:56,348 INFO [pretrained.py:267]
2021-11-08 20:37:56,348 INFO [pretrained.py:267]
./tmp-ligru/icefall_asr_timit_tdnn_ligru_ctc/test_waves/FDHC0_SI1559.WAV:
sil dh ih sh uw ah l iy v iy z ah sil p r aa sil k s ih m ey dx ih sil d w uh dx iy w ih s f iy l iy ng w ih th ih n ih m s eh l f sil jh

24
_sources/recipes/timit/tdnn_lstm_ctc.rst.txt
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@ -148,8 +148,8 @@ Some commonly used options are:
$ ./tdnn_lstm_ctc/decode.py --epoch 25 --avg 10
uses the average of ``epoch-16.pt``, ``epoch-17.pt``, ``epoch-18.pt``,
``epoch-19.pt``, ``epoch-20.pt``, ``epoch-21.pt``, ``epoch-22.pt``,
uses the average of ``epoch-16.pt``, ``epoch-17.pt``, ``epoch-18.pt``,
``epoch-19.pt``, ``epoch-20.pt``, ``epoch-21.pt``, ``epoch-22.pt``,
``epoch-23.pt``, ``epoch-24.pt`` and ``epoch-25.pt``
for decoding.
@ -315,13 +315,13 @@ To decode with ``1best`` method, we can use:
.. code-block:: bash
./tdnn_lstm_ctc/pretrained.py
./tdnn_lstm_ctc/pretrained.py
--method 1best
--checkpoint ./tmp-lstm/icefall_asr_timit_tdnn_lstm_ctc/exp/pretrained_average_16_25.pt
--words-file ./tmp-lstm/icefall_asr_timit_tdnn_lstm_ctc/data/lang_phone/words.txt
--HLG ./tmp-lstm/icefall_asr_timit_tdnn_lstm_ctc/data/lang_phone/HLG.pt
./tmp-lstm/icefall_asr_timit_tdnn_lstm_ctc/test_waves/FDHC0_SI1559.WAV
./tmp-lstm/icefall_asr_timit_tdnn_lstm_ctc/test_waves/FELC0_SI756.WAV
--checkpoint ./tmp-lstm/icefall_asr_timit_tdnn_lstm_ctc/exp/pretrained_average_16_25.pt
--words-file ./tmp-lstm/icefall_asr_timit_tdnn_lstm_ctc/data/lang_phone/words.txt
--HLG ./tmp-lstm/icefall_asr_timit_tdnn_lstm_ctc/data/lang_phone/HLG.pt
./tmp-lstm/icefall_asr_timit_tdnn_lstm_ctc/test_waves/FDHC0_SI1559.WAV
./tmp-lstm/icefall_asr_timit_tdnn_lstm_ctc/test_waves/FELC0_SI756.WAV
./tmp-lstm/icefall_asr_timit_tdnn_lstm_ctc/test_waves/FMGD0_SI1564.WAV
The output is:
@ -335,7 +335,7 @@ The output is:
2021-11-08 21:02:53,827 INFO [pretrained.py:210] Reading sound files: ['./tmp-lstm/icefall_asr_timit_tdnn_lstm_ctc/test_waves/FDHC0_SI1559.WAV', './tmp-lstm/icefall_asr_timit_tdnn_lstm_ctc/test_waves/FELC0_SI756.WAV', './tmp-lstm/icefall_asr_timit_tdnn_lstm_ctc/test_waves/FMGD0_SI1564.WAV']
2021-11-08 21:02:53,831 INFO [pretrained.py:216] Decoding started
2021-11-08 21:02:54,380 INFO [pretrained.py:246] Use HLG decoding
2021-11-08 21:02:54,387 INFO [pretrained.py:267]
2021-11-08 21:02:54,387 INFO [pretrained.py:267]
./tmp-lstm/icefall_asr_timit_tdnn_lstm_ctc/test_waves/FDHC0_SI1559.WAV:
sil dh ih sh uw ah l iy v iy z ih sil p r aa sil k s ih m ey dx ih sil d w uh dx iy w ih s f iy l iy w ih th ih n ih m s eh l f sil jh
@ -360,8 +360,8 @@ To decode with ``whole-lattice-rescoring`` methond, you can use
--HLG ./tmp-lstm/icefall_asr_timit_tdnn_lstm_ctc/data/lang_phone/HLG.pt \
--G ./tmp-lstm/icefall_asr_timit_tdnn_lstm_ctc/data/lm/G_4_gram.pt \
--ngram-lm-scale 0.08 \
./tmp-lstm/icefall_asr_timit_tdnn_lstm_ctc/test_waves/FDHC0_SI1559.WAV
./tmp-lstm/icefall_asr_timit_tdnn_lstm_ctc/test_waves/FELC0_SI756.WAV
./tmp-lstm/icefall_asr_timit_tdnn_lstm_ctc/test_waves/FDHC0_SI1559.WAV
./tmp-lstm/icefall_asr_timit_tdnn_lstm_ctc/test_waves/FELC0_SI756.WAV
./tmp-lstm/icefall_asr_timit_tdnn_lstm_ctc/test_waves/FMGD0_SI1564.WAV
The decoding output is:
@ -376,7 +376,7 @@ The decoding output is:
2021-11-08 20:05:26,978 INFO [pretrained.py:210] Reading sound files: ['./tmp-lstm/icefall_asr_timit_tdnn_lstm_ctc/test_waves/FDHC0_SI1559.WAV', './tmp-lstm/icefall_asr_timit_tdnn_lstm_ctc/test_waves/FELC0_SI756.WAV', './tmp-lstm/icefall_asr_timit_tdnn_lstm_ctc/test_waves/FMGD0_SI1564.WAV']
2021-11-08 20:05:26,981 INFO [pretrained.py:216] Decoding started
2021-11-08 20:05:27,519 INFO [pretrained.py:251] Use HLG decoding + LM rescoring
2021-11-08 20:05:27,878 INFO [pretrained.py:267]
2021-11-08 20:05:27,878 INFO [pretrained.py:267]
./tmp-lstm/icefall_asr_timit_tdnn_lstm_ctc/test_waves/FDHC0_SI1559.WAV:
sil dh ih sh uw l iy v iy z ih sil p r aa sil k s ah m ey dx ih sil w uh dx iy w ih s f iy l ih ng w ih th ih n ih m s eh l f sil jh

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