With this example from the documentation of sounddevice you can record your voice for an indetermined amount of time, untile you press crt+c. Start the program from the command line and not from SublimeRepl, because you need to stop it with ctrl+c that will not work in SublimeRepl (at least it do not work for me and leave a corrupted wav file in the computer).
As soon as possible, I will do an Interface for this script with tkinter.
You need to install sounddevice and soundfile from cmd or powershell
pip install sounddevice
pip install soundfile
The code
#!/usr/bin/env python3
"""Create a recording with arbitrary duration.
PySoundFile (https://github.com/bastibe/PySoundFile/) has to be installed!
"""
import argparse
import tempfile
import queue
import sys
def int_or_str(text):
"""Helper function for argument parsing."""
try:
return int(text)
except ValueError:
return text
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument(
'-l', '--list-devices', action='store_true',
help='show list of audio devices and exit')
parser.add_argument(
'-d', '--device', type=int_or_str,
help='input device (numeric ID or substring)')
parser.add_argument(
'-r', '--samplerate', type=int, help='sampling rate')
parser.add_argument(
'-c', '--channels', type=int, default=1, help='number of input channels')
parser.add_argument(
'filename', nargs='?', metavar='FILENAME',
help='audio file to store recording to')
parser.add_argument(
'-t', '--subtype', type=str, help='sound file subtype (e.g. "PCM_24")')
args = parser.parse_args()
try:
import sounddevice as sd
import soundfile as sf
if args.list_devices:
print(sd.query_devices())
parser.exit(0)
if args.samplerate is None:
device_info = sd.query_devices(args.device, 'input')
# soundfile expects an int, sounddevice provides a float:
args.samplerate = int(device_info['default_samplerate'])
if args.filename is None:
args.filename = tempfile.mktemp(prefix='rec_unlimited_',
suffix='.wav', dir='')
q = queue.Queue()
def callback(indata, frames, time, status):
"""This is called (from a separate thread) for each audio block."""
if status:
print(status, file=sys.stderr)
q.put(indata.copy())
# Make sure the file is opened before recording anything:
with sf.SoundFile(args.filename, mode='x', samplerate=args.samplerate,
channels=args.channels, subtype=args.subtype) as file:
with sd.InputStream(samplerate=args.samplerate, device=args.device,
channels=args.channels, callback=callback):
print('#' * 80)
print('press Ctrl+C to stop the recording')
print('#' * 80)
while True:
file.write(q.get())
except KeyboardInterrupt:
print('\nRecording finished: ' + repr(args.filename))
parser.exit(0)
except Exception as e:
parser.exit(type(e).__name__ + ': ' + str(e))
Another example with live microphone signal
The code from the documentation of sounddevice
The following code shows you the ‘shape’ of the sound while you speak in the microphone.
#!/usr/bin/env python3
"""Plot the live microphone signal(s) with matplotlib.
Matplotlib and NumPy have to be installed.
"""
import argparse
import queue
import sys
def int_or_str(text):
"""Helper function for argument parsing."""
try:
return int(text)
except ValueError:
return text
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument(
'-l', '--list-devices', action='store_true',
help='show list of audio devices and exit')
parser.add_argument(
'-d', '--device', type=int_or_str,
help='input device (numeric ID or substring)')
parser.add_argument(
'-w', '--window', type=float, default=200, metavar='DURATION',
help='visible time slot (default: %(default)s ms)')
parser.add_argument(
'-i', '--interval', type=float, default=30,
help='minimum time between plot updates (default: %(default)s ms)')
parser.add_argument(
'-b', '--blocksize', type=int, help='block size (in samples)')
parser.add_argument(
'-r', '--samplerate', type=float, help='sampling rate of audio device')
parser.add_argument(
'-n', '--downsample', type=int, default=10, metavar='N',
help='display every Nth sample (default: %(default)s)')
parser.add_argument(
'channels', type=int, default=[1], nargs='*', metavar='CHANNEL',
help='input channels to plot (default: the first)')
args = parser.parse_args()
if any(c < 1 for c in args.channels):
parser.error('argument CHANNEL: must be >= 1')
mapping = [c - 1 for c in args.channels] # Channel numbers start with 1
q = queue.Queue()
def audio_callback(indata, frames, time, status):
"""This is called (from a separate thread) for each audio block."""
if status:
print(status, file=sys.stderr)
# Fancy indexing with mapping creates a (necessary!) copy:
q.put(indata[::args.downsample, mapping])
def update_plot(frame):
"""This is called by matplotlib for each plot update.
Typically, audio callbacks happen more frequently than plot updates,
therefore the queue tends to contain multiple blocks of audio data.
"""
global plotdata
while True:
try:
data = q.get_nowait()
except queue.Empty:
break
shift = len(data)
plotdata = np.roll(plotdata, -shift, axis=0)
plotdata[-shift:, :] = data
for column, line in enumerate(lines):
line.set_ydata(plotdata[:, column])
return lines
try:
from matplotlib.animation import FuncAnimation
import matplotlib.pyplot as plt
import numpy as np
import sounddevice as sd
if args.list_devices:
print(sd.query_devices())
parser.exit(0)
if args.samplerate is None:
device_info = sd.query_devices(args.device, 'input')
args.samplerate = device_info['default_samplerate']
length = int(args.window * args.samplerate / (1000 * args.downsample))
plotdata = np.zeros((length, len(args.channels)))
fig, ax = plt.subplots()
lines = ax.plot(plotdata)
if len(args.channels) > 1:
ax.legend(['channel {}'.format(c) for c in args.channels],
loc='lower left', ncol=len(args.channels))
ax.axis((0, len(plotdata), -1, 1))
ax.set_yticks([0])
ax.yaxis.grid(True)
ax.tick_params(bottom='off', top='off', labelbottom='off',
right='off', left='off', labelleft='off')
fig.tight_layout(pad=0)
stream = sd.InputStream(
device=args.device, channels=max(args.channels),
samplerate=args.samplerate, callback=audio_callback)
ani = FuncAnimation(fig, update_plot, interval=args.interval, blit=True)
with stream:
plt.show()
except Exception as e:
parser.exit(type(e).__name__ + ': ' + str(e))
