mirror of
https://github.com/modelscope/FunASR.git
synced 2026-10-12 02:19:18 +00:00
zhifu gaoand维石
861147c730
* sensevoice finetune * sensevoice finetune * sensevoice finetune * sensevoice finetune * sensevoice finetune * sensevoice finetune * sensevoice finetune * sensevoice finetune * sensevoice finetune * sensevoice finetune * bugfix * update with main (#1631) * update seaco finetune * v1.0.24 --------- Co-authored-by: 维石 <[email protected]> * sensevoice * sensevoice * sensevoice * update with main (#1638) * update seaco finetune * v1.0.24 * update rwkv template --------- Co-authored-by: 维石 <[email protected]> * sensevoice * sensevoice * sensevoice * sensevoice * sensevoice * sensevoice * sensevoice * sensevoice * sensevoice * sensevoice * sensevoice * sensevoice * sensevoice * sensevoice * sensevoice * sense voice * sense voice * sense voice * sense voice * sense voice * sense voice * sense voice * sense voice * sense voice * sense voice * sense voice * sense voice * sense voice * sense voice * sense voice * sense voice * sense voice * sense voice * sense voice * sense voice * whisper * whisper * update style * update style --------- Co-authored-by: 维石 <[email protected]>
Fundamental Text Processing (FunTextProcessing)
Introduction
FunTextProcessing is a Python toolkit for fundamental text processing in ASR including text processing , inverse text processing, num2words, which is included in the FunASR.
Highlights
- FunTextProcessing supports inverse text processing (ITN), text processing (TN), number to words (num2words).
- FunTextProcessing supports multilingual, 10+ languages for ITN, 5 languages for TN, 50+ languages for num2words.
Example
Inverse Text Processing (ITN)
Given text inputs, such as speech recognition results, use fun_text_processing/inverse_text_normalization/inverse_normalize.py to output ITN results. You may refer to the following example scripts.
test_file=fun_text_processing/inverse_text_normalization/id/id_itn_test_input.txt
python fun_text_processing/inverse_text_normalization/inverse_normalize.py --input_file $test_file --cache_dir ./itn_model/ --output_file output.txt --language=id
Acknowledge
- We borrowed a lot of codes from NeMo.
- We refered the codes from WeTextProcessing for Chinese inverse text normalization.
- We borrowed a lot of codes from num2words library for convert the number to words function in some languages.
License
This project is licensed under the The MIT License. FunTextProcessing also contains various third-party components and some code modified from other repos under other open source licenses.