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84 lines
4.2 KiB
84 lines
4.2 KiB
#!/bin/bash
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set -e
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echo -e "\e[1;31monly if you see 'Test success !!!', the cli testing is successful\e[0m"
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# Audio classification
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wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/cat.wav https://paddlespeech.bj.bcebos.com/PaddleAudio/dog.wav
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paddlespeech cls --input ./cat.wav --topk 10
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# Punctuation_restoration
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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
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# Speech_recognition
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wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav https://paddlespeech.bj.bcebos.com/PaddleAudio/en.wav
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paddlespeech asr --input ./zh.wav
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paddlespeech asr --model conformer_aishell --input ./zh.wav
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paddlespeech asr --model conformer_online_aishell --input ./zh.wav
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paddlespeech asr --model conformer_online_wenetspeech --input ./zh.wav
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paddlespeech asr --model conformer_online_multicn --input ./zh.wav
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paddlespeech asr --model transformer_librispeech --lang en --input ./en.wav
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paddlespeech asr --model deepspeech2offline_aishell --input ./zh.wav
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paddlespeech asr --model deepspeech2online_wenetspeech --input ./zh.wav
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paddlespeech asr --model deepspeech2online_aishell --input ./zh.wav
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paddlespeech asr --model deepspeech2offline_librispeech --lang en --input ./en.wav
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# long audio restriction
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{
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wget -c https://paddlespeech.bj.bcebos.com/datasets/single_wav/zh/test_long_audio_01.wav
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paddlespeech asr --model deepspeech2online_wenetspeech --input test_long_audio_01.wav -y
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if [ $? -ne 255 ]; then
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echo -e "\e[1;31mTime restriction not passed\e[0m"
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exit 1
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fi
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} &&
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{
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echo -e "\033[32mTime restriction passed\033[0m"
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}
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# Text To Speech
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paddlespeech tts --input "你好，欢迎使用百度飞桨深度学习框架！"
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paddlespeech tts --am speedyspeech_csmsc --input "你好，欢迎使用百度飞桨深度学习框架！"
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paddlespeech tts --voc mb_melgan_csmsc --input "你好，欢迎使用百度飞桨深度学习框架！"
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paddlespeech tts --voc style_melgan_csmsc --input "你好，欢迎使用百度飞桨深度学习框架！"
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paddlespeech tts --voc hifigan_csmsc --input "你好，欢迎使用百度飞桨深度学习框架！"
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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
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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
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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."
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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."
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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
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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
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paddlespeech tts --am tacotron2_csmsc --input "你好，欢迎使用百度飞桨深度学习框架！"
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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！"
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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."
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# Speech Translation (only support linux)
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paddlespeech st --input ./en.wav
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# Speaker Verification
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wget -c https://paddlespeech.bj.bcebos.com/vector/audio/85236145389.wav
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paddlespeech vector --task spk --input 85236145389.wav
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# batch process
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echo -e "1 欢迎光临。\n2 谢谢惠顾。" | paddlespeech tts
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echo -e "demo1 85236145389.wav \n demo2 85236145389.wav" > vec.job
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paddlespeech vector --task spk --input vec.job
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echo -e "demo3 85236145389.wav \n demo4 85236145389.wav" | paddlespeech vector --task spk
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rm 85236145389.wav
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rm vec.job
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# shell pipeline
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paddlespeech asr --input ./zh.wav | paddlespeech text --task punc
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# stats
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paddlespeech stats --task asr
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paddlespeech stats --task tts
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paddlespeech stats --task cls
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paddlespeech stats --task text
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paddlespeech stats --task vector
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paddlespeech stats --task st
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echo -e "\033[32mTest success !!!\033[0m"
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