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wmt_speech_study

My speech recognition study, include Raspberry Pi

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1. Hardware, Input Devices

(1.1) Seeed, ReSpeaker_2_Mics_Pi_HAT, WM8960

(1.2) Waveshare, WM8960_Audio_HAT

http://www.waveshare.net/wiki/WM8960_Audio_HAT
http://www.waveshare.net/wiki/WM8960_Audio_Board

(1.3) Waveshare, VS1003

http://www.waveshare.net/wiki/VS1003B_MP3_Board

(1.4) Waveshare, Music_Shield, VS1053B

http://www.waveshare.net/wiki/Music_Shield

(1.5) Seeed, Music_Shield_V2.2

http://wiki.seeedstudio.com/cn/Music_Shield_V2.2/
https://github.com/jdkoftinoff/jdksmidi
https://github.com/Seeed-Studio/Music_Shield

(1.6) 信泰微, VS1053模块

VS1053模块 MP3模块开发板 解码板 板载录音功能

(1.7) 优信 / 信泰微, 科大讯飞, XFS5152CE

(1.8) 信泰微, ICRoute, LD3320 / LD3321

http://www.icroute.com

(1.9) waveshare, LD3320

http://www.waveshare.net/wiki/LD3320_Board
http://www.waveshare.net/wiki/LD3320_Board_(B)

(1.10) 51人工智能, 适用于树莓派 raspberrypi 2/3B+ 麦克风话筒USB免驱音质高清低噪

(search baidupan) 树莓派麦克风教程.docx

(1.11) seeed, Azure IoT Edge

https://github.com/Azure-Samples/azure-iot-starter-kits/tree/master/seeed
https://github.com/Azure-Samples/azure-iot-starter-kits/tree/master/seeed/3-speech-recognizer/modules/speech-to-text

2. Software, Raspberry Pi, Python

(2.1) Smart_fan.py

https://github.com/SeeedDocument/MIC_HATv1.0_for_raspberrypi/blob/master/src/baidu_STT/Smart_fan.py
https://console.bce.baidu.com/ai/?fromai=1#/ai/speech/overview/index
sudo apt install mpg123
sudo apt-get install portaudio19-dev
(for pyaudio)
pip install baidu-aip monotonic pyaudio
cd src/baidu_STT
nano Smart_Fan.py
(for APP_ID, API_KEY, SECRET_KEY)
python Smart_Fan.py
http://wiki.seeedstudio.com/cn/ReSpeaker_2_Mics_Pi_HAT/
https://www.yahboom.com/build.html?id=1790&cid=230

3. SoftWare, PC

4. Software, Raspberry Pi

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