[python] Detect, Record Audio in Python
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- from sys import byteorder
- from array import array
- from struct import pack
- import pyaudio
- import wave
- THRESHOLD = 500
- CHUNK_SIZE = 1024
- FORMAT = pyaudio.paInt16
- RATE = 44100
- def is_silent(snd_data):
- "Returns 'True' if below the 'silent' threshold"
- return max(snd_data) < THRESHOLD
- def normalize(snd_data):
- "Average the volume out"
- MAXIMUM = 16384
- times = float(MAXIMUM)/max(abs(i) for i in snd_data)
- r = array('h')
- for i in snd_data:
- r.append(int(i*times))
- return r
- def trim(snd_data):
- "Trim the blank spots at the start and end"
- def _trim(snd_data):
- snd_started = False
- r = array('h')
- for i in snd_data:
- if not snd_started and abs(i) > THRESHOLD:
- snd_started = True
- r.append(i)
- elif snd_started:
- r.append(i)
- return r
- # Trim to the left
- snd_data = _trim(snd_data)
- # Trim to the right
- snd_data.reverse()
- snd_data = _trim(snd_data)
- snd_data.reverse()
- return snd_data
- def add_silence(snd_data, seconds):
- "Add silence to the start and end of 'snd_data' of length 'seconds' (float)"
- silence = [0] * int(seconds * RATE)
- r = array('h', silence)
- r.extend(snd_data)
- r.extend(silence)
- return r
- def record():
- """
- Record a word or words from the microphone and
- return the data as an array of signed shorts.
- Normalizes the audio, trims silence from the
- start and end, and pads with 0.5 seconds of
- blank sound to make sure VLC et al can play
- it without getting chopped off.
- """
- p = pyaudio.PyAudio()
- stream = p.open(format=FORMAT, channels=1, rate=RATE,
- input=True, output=True,
- frames_per_buffer=CHUNK_SIZE)
- num_silent = 0
- snd_started = False
- r = array('h')
- while 1:
- # little endian, signed short
- snd_data = array('h', stream.read(CHUNK_SIZE))
- if byteorder == 'big':
- snd_data.byteswap()
- r.extend(snd_data)
- silent = is_silent(snd_data)
- if silent and snd_started:
- num_silent += 1
- elif not silent and not snd_started:
- snd_started = True
- if snd_started and num_silent > 300:
- break
- sample_width = p.get_sample_size(FORMAT)
- stream.stop_stream()
- stream.close()
- p.terminate()
- r = normalize(r)
- r = trim(r)
- r = add_silence(r, 0.5)
- return sample_width, r
- def record_to_file(path):
- "Records from the microphone and outputs the resulting data to 'path'"
- sample_width, data = record()
- data = pack('<' + ('h'*len(data)), *data)
- wf = wave.open(path, 'wb')
- wf.setnchannels(1)
- wf.setsampwidth(sample_width)
- wf.setframerate(RATE)
- wf.writeframes(data)
- wf.close()
- if __name__ == '__main__':
- print("please speak a word into the microphone")
- record_to_file('demo.wav')
- print("done - result written to demo.wav")
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