zr_jin
735fb9a73d
A TTS recipe VITS on VCTK dataset ( #1380 )
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* init
* isort formatted
* minor updates
* Create shared
* Update prepare_tokens_vctk.py
* Update prepare_tokens_vctk.py
* Update prepare_tokens_vctk.py
* Update prepare.sh
* updated
* Update train.py
* Update train.py
* Update tts_datamodule.py
* Update train.py
* Update train.py
* Update train.py
* Update train.py
* Update train.py
* Update train.py
* fixed formatting issue
* Update infer.py
* removed redundant files
* Create monotonic_align
* removed redundant files
* created symlinks
* Update prepare.sh
* minor adjustments
* Create requirements_tts.txt
* Update requirements_tts.txt
added version constraints
* Update infer.py
* Update infer.py
* Update infer.py
* updated docs
* Update export-onnx.py
* Update export-onnx.py
* Update test_onnx.py
* updated requirements.txt
* Update test_onnx.py
* Update test_onnx.py
* docs updated
* docs fixed
* minor updates
2023-12-06 09:59:19 +08:00
Wei Kang
238b45bea8
Libriheavy recipe (zipformer) ( #1261 )
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* initial commit for libriheavy
* Data prepare pipeline
* Fix train.py
* Fix decode.py
* Add results
* minor fixes
* black
* black
* Incorporate PR https://github.com/k2-fsa/icefall/pull/1269
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Co-authored-by: zr_jin <peter.jin.cn@gmail.com>
2023-11-23 01:22:57 +08:00
Fangjun Kuang
f14b673408
Add HLG decoding with OpenFst on CPU for aishell conformer_ctc ( #1279 )
2023-10-01 13:46:16 +08:00
Fangjun Kuang
2318c3fbd0
Support CTC decoding on CPU using OpenFst and kaldi decoders. ( #1244 )
2023-09-26 16:36:19 +08:00
zr_jin
ef5da4824d
formatted the entire LibriSpeech recipe ( #1270 )
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* formatted the entire librispeech recipe
* minor updates
2023-09-24 17:31:01 +08:00
Fangjun Kuang
4501821fd9
Support using OpenFst to compile HLG. ( #606 )
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* Support using OpenFst to compile HLG.
* Fix style issues
2022-12-09 16:46:44 +08:00
Fangjun Kuang
7f1c0e07b6
Remove onnx and onnxruntime from requirements.txt ( #640 )
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* Remove onnx and onnxruntime from requirements.txt
2022-10-31 13:44:40 +08:00
Fangjun Kuang
348494888d
Add kaldifst to requirements.txt ( #631 )
2022-10-22 13:14:44 +08:00
Fangjun Kuang
1c07d2fb37
Remove all-in-one for onnx export ( #614 )
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* Remove all-in-one for onnx export
* Exit on error for CI
2022-10-12 10:34:06 +08:00
Fangjun Kuang
3614d7ff6d
Add dill to requirements.txt ( #613 )
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* Add dill to requirements.txt
* Disable style check for python 3.7
2022-10-10 22:50:25 +08:00
Yunusemre
7157f62af3
Merging onnx models ( #518 )
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* add export function of onnx-all-in-one to export.py
* add onnx_check script for all-in-one onnx model
* minor fix
* remove unused arguments
* add onnx-all-in-one test
* fix style
* fix style
* fix requirements
* fix input/output names
* fix installing onnx_graphsurgeon
* fix instaliing onnx_graphsurgeon
* revert to previous requirements.txt
* fix minor
2022-08-04 23:03:41 +08:00
Fangjun Kuang
58a96e5b68
Support exporting to ONNX format ( #501 )
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* WIP: Support exporting to ONNX format
* Minor fixes.
* Combine encoder/decoder/joiner into a single file.
* Revert merging three onnx models into a single one.
It's quite time consuming to extract a sub-graph from the combined
model. For instance, it takes more than one hour to extract
the encoder model.
* Update CI to test ONNX models.
* Decode with exported models.
* Fix typos.
* Add more doc.
* Remove ncnn as it is not fully tested yet.
* Fix as_strided for streaming conformer.
2022-08-03 10:30:28 +08:00
Fangjun Kuang
8761452a2c
Add multi_quantization to requirements.txt ( #464 )
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* Add multi_quantization to requirements.txt
2022-07-07 14:36:08 +08:00
Fangjun Kuang
bb7f6ed6b7
Add modified beam search for pruned rnn-t. ( #248 )
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* Add modified beam search for pruned rnn-t.
* Fix style issues.
* Update RESULTS.md.
* Fix typos.
* Minor fixes.
* Test the pre-trained model using GitHub actions.
* Let the user install optimized_transducer on her own.
* Fix errors in GitHub CI.
2022-03-12 16:16:55 +08:00
Fangjun Kuang
4c1b3665ee
Use optimized_transducer to compute transducer loss. ( #162 )
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* WIP: Use optimized_transducer to compute transducer loss.
* Minor fixes.
* Fix decoding.
* Fix decoding.
* Add RESULTS.
* Update RESULTS.
* Update CI.
* Fix sampling rate for yesno recipe.
2022-01-10 11:54:58 +08:00
Fangjun Kuang
1aff64b708
Apply layer normalization to the output of each gate in LSTM/GRU. ( #139 )
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* Apply layer normalization to the output of each gate in LSTM.
* Apply layer normalization to the output of each gate in GRU.
* Add projection support to LayerNormLSTMCell.
* Add GPU tests.
* Use typeguard.check_argument_types() to validate type annotations.
* Add typeguard as a requirement.
* Minor fixes.
* Fix CI.
* Fix CI.
* Fix test failures for torch 1.8.0
* Fix errors.
2021-12-07 18:38:03 +08:00
Fangjun Kuang
12a2fd023e
Add doc about installation and usage ( #7 )
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* Add readme.
* Add TOC.
* fix typos
* Minor fixes after review.
2021-08-12 12:44:04 +08:00
Fangjun Kuang
4ccae509d3
WIP: Begin to add BPE decoding
2021-07-26 20:06:58 +08:00
