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#!/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 --model ernie_linear_p3_wudao_fast
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# Speech SSL
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paddlespeech ssl --task asr --lang en --input ./en.wav
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paddlespeech ssl --task vector --lang en --input ./en.wav
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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 conformer_u2pp_online_wenetspeech --lang zh --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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# Support editing num_decoding_left_chunks
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paddlespeech asr --model conformer_online_wenetspeech --num_decoding_left_chunks 3 --input ./zh.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 pwgan_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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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！"
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# mix tts
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# The `am` must be `fastspeech2_mix`!
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# The `lang` must be `mix`!
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# The voc must be chinese datasets' voc now!
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# spk 174 is csmcc, spk 175 is ljspeech
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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
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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
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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
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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
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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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# whisper text recognize
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paddlespeech whisper --task transcribe --input ./zh.wav
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# whisper recognize text and translate to English
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paddlespeech whisper --task translate --input ./zh.wav
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echo -e "\033[32mTest success !!!\033[0m"
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