This article demonstrates how to implement recording and playback functionality using Python scripts on the IDO-SBC3968 Ubuntu system.

The IDO-SBC3968 features the RK3399, a high-performance six-core 64-bit CPU, supporting 4K HDMI2.0 display, with rich interfaces, including Gigabit Ethernet, full-protocol Type-C, USB3.0, eDP, and dual-channel LVDS screen interfaces. It supports 4G/5G modules and Wi-Fi/Bluetooth, 6-axis G-Sensor, and operates on Linux/Android systems, making it suitable for various industries such as high-end commercial displays, bank self-service terminals, industrial computers, and robotics.

Product specifications: IDO-SBC3968 Product Manual

Install Dependencies

Before configuration, make sure to install the necessary dependencies.

#apt-get update
#apt-get install python3
#apt-get install portaudio19-dev python-all-dev python3-all-dev
#apt-get install libasound-dev libportaudio2 libportaudiocpp0
#apt-get install python3-pip
#pip3 install pyaudio

Recording Script

Before editing the script, you need to know which sound card you are using.

You can find this out by using “aplay -l”.

#aplay -l
**** List of PLAYBACK Hardware Devices ****
card 0: rockchipes8316c [rockchip,es8316-codec], device 0: ff880000.i2s-ES8316 HiFi ES8316 HiFi-0 []
  Subdevices: 1/1
  Subdevice #0: subdevice #0
card 1: Audio [USB Audio], device 0: USB Audio [USB Audio]
  Subdevices: 1/1
  Subdevice #0: subdevice #0

From the output above, we can see that the USB sound card is Card 1.

Edit the Python recording script.

#vi record.py

import pyaudio
import wave
import os

CHUNK = 44100                                # Sampling frequency
FORMAT = pyaudio.paInt16
CHANNELS = 1                                 # Sound card channels
RATE = 44100                                
RECORD_SECONDS = 5                          # Duration
WAVE_OUTPUT_FILENAME = "output.wav"         # Exported audio file

audio = pyaudio.PyAudio()

# start Recording
stream = audio.open(format=FORMAT, channels=CHANNELS,
        rate=RATE, input=True,
        input_device_index = 1,
        frames_per_buffer=CHUNK)
print("recording...")
frames = []

count=0
for i in range(0, int(RATE / CHUNK * RECORD_SECONDS)):
#for i in range(0, 5):
#while count < 5:
    data = stream.read(CHUNK)
    frames.append(data)
# count += 1

print("finished recording")
# stop Recording
stream.stop_stream()
stream.close()
audio.terminate()
wavFile = wave.open(WAVE_OUTPUT_FILENAME, 'wb')
wavFile.setnchannels(CHANNELS)
wavFile.setsampwidth(audio.get_sample_size(FORMAT))
wavFile.setframerate(RATE)
wavFile.writeframes(b''.join(frames))
wavFile.close()

Recording

#python3 ./record.py

After the recording is finished, we will have the output.wav recording file.

Playback Script

Edit the Python playback script.

#vi play.py

import pyaudio
import wave


CHUNK = 44100
FILENAME = './output.wav'

def play(filename = FILENAME):
    wf = wave.open(filename, 'rb')
    p = pyaudio.PyAudio()
    stream = p.open(format=p.get_format_from_width(wf.getsampwidth()),
        channels=wf.getnchannels(),
        rate=wf.getframerate(),
        output_device_index=0,
        output=True)
    data = wf.readframes(CHUNK)
    while data != b'':
        stream.write(data)
        data = wf.readframes(CHUNK)

    stream.stop_stream()
    stream.close()
    p.terminate()

play()

Playback

#python3 ./play.py

Using the above commands, you can play back the recorded audio file.

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