You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
PaddleSpeech/tests/unit/cli/test_cli.sh

109 lines
6.0 KiB

This file contains ambiguous Unicode characters!

This file contains ambiguous Unicode characters that may be confused with others in your current locale. If your use case is intentional and legitimate, you can safely ignore this warning. Use the Escape button to highlight these characters.

#!/bin/bash
set -e
echo -e "\e[1;31monly if you see 'Test success !!!', the cli testing is successful\e[0m"
# Audio classification
wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/cat.wav https://paddlespeech.bj.bcebos.com/PaddleAudio/dog.wav
paddlespeech cls --input ./cat.wav --topk 10
# Punctuation_restoration
paddlespeech text --input 今天的天气真不错啊你下午有空吗我想约你一起去吃饭 --model ernie_linear_p3_wudao_fast
# Speech SSL
paddlespeech ssl --task asr --lang en --input ./en.wav
paddlespeech ssl --task vector --lang en --input ./en.wav
# Speech_recognition
wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespeech.bj.bcebos.com/PaddleAudio/en.wav
paddlespeech asr --input ./zh.wav
paddlespeech asr --model conformer_aishell --input ./zh.wav
paddlespeech asr --model conformer_online_aishell --input ./zh.wav
paddlespeech asr --model conformer_online_wenetspeech --input ./zh.wav
paddlespeech asr --model conformer_online_multicn --input ./zh.wav
paddlespeech asr --model conformer_u2pp_online_wenetspeech --lang zh --input zh.wav
paddlespeech asr --model transformer_librispeech --lang en --input ./en.wav
paddlespeech asr --model deepspeech2offline_aishell --input ./zh.wav
paddlespeech asr --model deepspeech2online_wenetspeech --input ./zh.wav
paddlespeech asr --model deepspeech2online_aishell --input ./zh.wav
paddlespeech asr --model deepspeech2offline_librispeech --lang en --input ./en.wav
# Support editing num_decoding_left_chunks
paddlespeech asr --model conformer_online_wenetspeech --num_decoding_left_chunks 3 --input ./zh.wav
# long audio restriction
{
wget -c https://paddlespeech.bj.bcebos.com/datasets/single_wav/zh/test_long_audio_01.wav
paddlespeech asr --model deepspeech2online_wenetspeech --input test_long_audio_01.wav -y
if [ $? -ne 255 ]; then
echo -e "\e[1;31mTime restriction not passed\e[0m"
exit 1
fi
} &&
{
echo -e "\033[32mTime restriction passed\033[0m"
}
# Text To Speech
paddlespeech tts --input "你好,欢迎使用百度飞桨深度学习框架!"
paddlespeech tts --am speedyspeech_csmsc --input "你好,欢迎使用百度飞桨深度学习框架!"
paddlespeech tts --voc mb_melgan_csmsc --input "你好,欢迎使用百度飞桨深度学习框架!"
paddlespeech tts --voc style_melgan_csmsc --input "你好,欢迎使用百度飞桨深度学习框架!"
paddlespeech tts --voc pwgan_csmsc --input "你好,欢迎使用百度飞桨深度学习框架!"
paddlespeech tts --am fastspeech2_aishell3 --voc pwgan_aishell3 --input "你好,欢迎使用百度飞桨深度学习框架!" --spk_id 0
paddlespeech tts --am fastspeech2_aishell3 --voc hifigan_aishell3 --input "你好,欢迎使用百度飞桨深度学习框架!" --spk_id 0
paddlespeech tts --am fastspeech2_ljspeech --voc pwgan_ljspeech --lang en --input "Life was like a box of chocolates, you never know what you're gonna get."
paddlespeech tts --am fastspeech2_ljspeech --voc hifigan_ljspeech --lang en --input "Life was like a box of chocolates, you never know what you're gonna get."
paddlespeech tts --am fastspeech2_vctk --voc pwgan_vctk --input "Life was like a box of chocolates, you never know what you're gonna get." --lang en --spk_id 0
paddlespeech tts --am fastspeech2_vctk --voc hifigan_vctk --input "Life was like a box of chocolates, you never know what you're gonna get." --lang en --spk_id 0
paddlespeech tts --am tacotron2_csmsc --input "你好,欢迎使用百度飞桨深度学习框架!"
paddlespeech tts --am tacotron2_csmsc --voc wavernn_csmsc --input "你好,欢迎使用百度飞桨深度学习框架!"
paddlespeech tts --am tacotron2_ljspeech --voc pwgan_ljspeech --lang en --input "Life was like a box of chocolates, you never know what you're gonna get."
paddlespeech tts --am fastspeech2_male --voc pwgan_male --input "你好,欢迎使用百度飞桨深度学习框架!"
# mix tts
# The `am` must be `fastspeech2_mix`!
# The `lang` must be `mix`!
# The voc must be chinese datasets' voc now!
# spk 174 is csmcc, spk 175 is ljspeech
paddlespeech tts --am fastspeech2_mix --voc hifigan_csmsc --lang mix --input "热烈欢迎您在 Discussions 中提交问题,并在 Issues 中指出发现的 bug。此外我们非常希望您参与到 Paddle Speech 的开发中!" --spk_id 174 --output mix_spk174.wav
paddlespeech tts --am fastspeech2_mix --voc hifigan_aishell3 --lang mix --input "热烈欢迎您在 Discussions 中提交问题,并在 Issues 中指出发现的 bug。此外我们非常希望您参与到 Paddle Speech 的开发中!" --spk_id 174 --output mix_spk174_aishell3.wav
paddlespeech tts --am fastspeech2_mix --voc pwgan_csmsc --lang mix --input "我们的声学模型使用了 Fast Speech Two, 声码器使用了 Parallel Wave GAN and Hifi GAN." --spk_id 175 --output mix_spk175_pwgan.wav
paddlespeech tts --am fastspeech2_mix --voc hifigan_csmsc --lang mix --input "我们的声学模型使用了 Fast Speech Two, 声码器使用了 Parallel Wave GAN and Hifi GAN." --spk_id 175 --output mix_spk175.wav
# Speech Translation (only support linux)
paddlespeech st --input ./en.wav
# Speaker Verification
wget -c https://paddlespeech.bj.bcebos.com/vector/audio/85236145389.wav
paddlespeech vector --task spk --input 85236145389.wav
# batch process
echo -e "1 欢迎光临。\n2 谢谢惠顾。" | paddlespeech tts
echo -e "demo1 85236145389.wav \n demo2 85236145389.wav" > vec.job
paddlespeech vector --task spk --input vec.job
echo -e "demo3 85236145389.wav \n demo4 85236145389.wav" | paddlespeech vector --task spk
rm 85236145389.wav
rm vec.job
# shell pipeline
paddlespeech asr --input ./zh.wav | paddlespeech text --task punc
# stats
paddlespeech stats --task asr
paddlespeech stats --task tts
paddlespeech stats --task cls
paddlespeech stats --task text
paddlespeech stats --task vector
paddlespeech stats --task st
# whisper text recognize
paddlespeech whisper --task transcribe --input ./zh.wav
# whisper recognize text and translate to English
paddlespeech whisper --task translate --input ./zh.wav
echo -e "\033[32mTest success !!!\033[0m"