# 如果已经有pyhon3.6 环境，跳过该步骤，使用现有环境也可以
virtualenv ~/env/asr_abc --python=python3.8
. ~/env/asr_abc/bin/activate

python setup.py install
or 
pip install .

ffmpeg -i ks1_48k.acc -ar 16000 ks1_16k.wav

python decode.py
# 或debug 模式
python decode.py -d

#预期输出:
2021-12-24 17:08:31,736 INFO [decode.py:91] All files seem exist.
2021-12-24 17:08:31,736 INFO [decode.py:96] Start loading model.
2021-12-24 17:08:41,321 INFO [decode.py:113] Start loading dict.
2021-12-24 17:08:41,336 INFO [decode.py:119] Start recognize data/wavs/BAC009S0764W0143.wav.
2021-12-24 17:08:41,527 INFO [decode.py:134] Result: 在市场整体从高速增长进入中高速增长区间的同时
2021-12-24 17:08:41,527 INFO [decode.py:135] done.

# 也可以指定输入音频
python decode.py --input-wav=data/wavs/ks1_16k.wav
或者
python decode.py -i=data/wavs/ks1_16k.wav  # ks is short for "Kantanzhe Song"
# 预期输出：
2021-12-27 19:16:02,911 INFO [decode.py:91] All files seem exist.
2021-12-27 19:16:02,911 INFO [decode.py:96] Start loading model.
2021-12-27 19:16:08,405 INFO [decode.py:113] Start loading dict.
2021-12-27 19:16:08,409 INFO [decode.py:119] Start recognize data/wavs/ks1_16k.wav.
2021-12-27 19:16:08,449 INFO [decode.py:137] Result: 我们有火焰般的热情
2021-12-27 19:16:08,450 INFO [decode.py:138] done.

https://github.com/k2-fsa/icefall
https://github.com/k2-fsa/k2
https://github.com/lhotse-speech/lhotse

链接: https://pan.baidu.com/s/17tPOJM_Sm49q1kZrE3jfUQ
提取码: qa4p

.
|-- README.md
|-- build
|   `-- bdist.linux-x86_64
|-- conformer.py
|-- data
|   |-- lang_char
|   |   |-- tokens.txt
|   `-- wavs
|       |-- BAC009S0764W0143.wav
|       |-- README.md
|       `-- transcript
|-- decode.py
|-- exp
|   `-- conformer_encoder.pt
|-- requirements.txt
|-- setup.py
`-- utils.py