Piwho is python wrapper around MARF speaker recognition framework for the Raspberry pi and other SBCs. With the Piwho you can implement speaker recognition in your projects.
Blink example
import RPi.GPIO as GPIO
import time
from piwho import recognition, vad
def blink(pin):
GPIO.setmode(GPIO.BOARD)
GPIO.setup(pin, GPIO.OUT)
for i in range(0,10):
GPIO.output(pin,GPIO.HIGH)
time.sleep(1)
GPIO.output(pin,GPIO.LOW)
time.sleep(1)
if __name__ == "__main__":
recog = recognition.SpeakerRecognizer('./')
vad.record()
name = recog.identify_speaker()
if name[0] == 'Abhishek':
blink(11)- Ubuntu 15.10
- Pi 1 model B (raspbian wheezy, jessie)
- Pi 2 model B (raspbian wheezy, jessie, stretch)
- CHIP
Update the Pi
$ sudo apt-get update
$ sudo apt-get upgradeYou need to have JDK (min version: 1.7) installed on your Pi.
# verify jdk is installed
$ java -versionPyaudio is required to run audio recording script. (Optional)
# Install portaudio
$ sudo apt-get install portaudio19-dev
# Install python dev package
$ sudo apt-get install python2.7-dev
# Install pyaudio
$ pip install pyaudio Piwho is on PyPI
$ pip install piwhoor clone the project from github
$ git clone https://www.github.com/Adirockzz95/Piwho.git
$ cd Piwho
$ python setup.py installTests are implemented using unittest framework:
$ pip install -r requirements.txt
$ python -m unittest discover -v ./tests- Recognition/Training time depends on the length of an audio file.
- If possible overclock your Pi- use Turbo mode.
- Give maxmium RAM to CPU.
- Read MARF manual to know how the it works.
- Recognition speed is directly proportional to the CPU power.
Here are resources/similar projects I came across while working on this project.