How could I detect pitch using mic as a source? (and have it printed). I've seen some sources that allow for pitch detention through a wav file but I am wondering if there is a way to do so for the former.
Here's the base I'm working with
import speech_recognition as sr
r = sr.Recognizer()
mic = sr.Microphone()
with mic as source:
r.adjust_for_ambient_noise(source, duration=0.3)
audio = r.listen(source)
transcript = r.recognize_google(audio)
print(transcript)
Edit: Specifically, wanting to do a general detection of male/female voices.
aubio has good pitch detection methods and Python bindings. Here's how you could use it:
import aubio
import numpy as np
samplerate = 44100
tolerance = 0.8
win_s = 4096 // downsample # fft size
hop_s = 512 // downsample # hop size
pitch_o = pitch("yin", win_s, hop_s, samplerate)
pitch_o.set_unit("Hz")
pitch_o.set_tolerance(tolerance)
signal_win = np.array_split(audio, np.arange(hop_s, len(audio), hop_s))
pitch_profile = []
for frame in signal_win[:-1]:
pitch = pitch_o(frame)[0]
if pitch > 0:
pitch_profile.append(pitch)
if pitch_profile:
pitch_array = np.array(pitch_profile)
Q25, Q50, Q75 = np.quantile(pitch_array, [0.25, 0.50, 0.75])
IQR = Q75 - Q25
median = np.median(pitch_array)
pitch_min = pitch_array.min()
pitch_max = pitch_array.max()
Obviously you'd need to get the audio in an array format. Next thing to observe is that in the presented code I am calculating statistics on the pitch profile. Reason being that the duration is 0.3s, which is much longer than usual number of samples considered for pitch tracking.
Other examples: