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out side voice/untitled16.py

+# -*- coding: utf-8 -*-
+"""Untitled16.ipynb
+
+Automatically generated by Colaboratory.
+
+Original file is located at
+    https://colab.research.google.com/drive/1YZOFDlzEhI9HUk0TBJ3M5opmNvLCqb8x
+"""
+
+# Commented out IPython magic to ensure Python compatibility.
+# %load_ext autoreload
+# %autoreload 2
+#%env CUDA_VISIBLE_DEVICES=3
+
+colab_requirements = [
+    "pip install librosa",
+    "pip install noisereduce",
+    "pip install soundfile",
+
+]
+
+import sys, subprocess
+
+def run_subprocess_command(cmd):
+    # run the command
+    process = subprocess.Popen(cmd.split(), stdout=subprocess.PIPE)
+    # print the output
+    for line in process.stdout:
+        print(line.decode().strip())
+
+IN_COLAB = "google.colab" in sys.modules
+if IN_COLAB:
+    for i in colab_requirements:
+        run_subprocess_command(i)
+
+# Commented out IPython magic to ensure Python compatibility.
+import IPython
+from scipy.io import wavfile
+import noisereduce as nr
+import soundfile as sf
+from noisereduce.generate_noise import band_limited_noise
+import matplotlib.pyplot as plt
+import urllib.request
+import numpy as np
+import io
+# %matplotlib inline
+
+url = "https://raw.githubusercontent.com/timsainb/noisereduce/master/assets/fish.wav"
+response = urllib.request.urlopen(url)
+data, rate = sf.read(io.BytesIO(response.read()))
+data = data
+
+IPython.display.Audio(data=data, rate=rate)
+
+fig, ax = plt.subplots(figsize=(20,3))
+ax.plot(data)
+
+
+
+
+
+noise_len = 2 # seconds
+noise = band_limited_noise(min_freq=2000, max_freq = 12000, samples=len(data), samplerate=rate)*10
+noise_clip = noise[:rate*noise_len]
+audio_clip_band_limited = data+noise
+
+fig, ax = plt.subplots(figsize=(20,3))
+ax.plot(audio_clip_band_limited)
+
+IPython.display.Audio(data=audio_clip_band_limited, rate=rate)
+
+reduced_noise = nr.reduce_noise(y = audio_clip_band_limited, sr=rate, n_std_thresh_stationary=1.5,stationary=True)
+
+fig, ax = plt.subplots(figsize=(20,3))
+ax.plot(reduced_noise)
+
+IPython.display.Audio(data=reduced_noise, rate=rate)
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