Yihui Xiong

@arjunan47 Did you want to save audio data to .wav file? You can use `wave` module, See https://docs.python.org/2/library/wave.html ``` import wave wav = wave.open('audio.wav', 'wb') # ... ``` PS. As...

Importing module is quite slow on MT7688 indeed. There are several reasons: 1. SPI Flash R/W is very low. 2. Many modules are not pre-compiled to byte-code due to space...

It's limited by the build-in algorithms.

No plan yet

Sure, if 32+ people need this feature, we'll take some time to implement it. Let's vote!

Thanks for all your feedback! We have been trying to implement the feature now!

Hello there, this is a 48k sample rate firmware for testing: [respeaker_usb_mic_array_48k.zip](https://github.com/respeaker/usb_4_mic_array/files/2395136/respeaker_usb_mic_array_48k.zip) Download the zip file and unzip it, there will be two firmware, one has 6 channels, another has...

Thanks for the quick feedback! @taospartan 6dB gain is applied. What's your thought of the gain? @MexXxo I didn't re-product the issue when I tested it with Audacity on Ubuntu...

To recognize Chinese words, you need another acoustic model, for example https://sourceforge.net/projects/cmusphinx/files/Acoustic%20and%20Language%20Models/Mandarin/. But the mandarin acoustic model is not good enough. You may need some training for the model.

The mandarin acoustic model is too big for MT7688 to do continuous speech recognizer. You need a small one.