Merge pull request #2559 from singhchanmeet/audio-spectrogram

Added Audio to Spectrogram Script

Author: avinashkranjan

Audio-to-Spectrogram/README.md

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+# Audio-Spectrogram
+
+## 📝 Description
+  * This Python script takes an audio file (.wav, .mp3) as an input and draws its Spectrogram (Frequency vs Time)
+<br>
+  * The script uses <a href="https://librosa.org/doc/latest/index.html">Librosa</a> Library for audio processing and <a href="https://matplotlib.org/">MatPlotLib</a> Library for plotting the graph.
+
+<br>
+
+## ⚙️ How To Use
+
+Navigate to the project directory and run the following commands :
+```bash
+ pip install -r requirements.txt
+```
+Replace audio="path" on line 4 with the path to your audio file
+
+```bash
+ python audio-to-spectrogram.py
+```
+
+## Output
+
+
+https://github.com/singhchanmeet/Amazing-Python-Scripts/assets/119502048/be8fcebb-6429-4d0a-b8b8-86397f53290e
+
+
+
+## Author
+
+
+ * <a href="https://github.com/singhchanmeet"> Chanmeet Singh </a>
+ * References : https://analyticsindiamag.com/hands-on-tutorial-on-visualizing-spectrograms-in-python/

Audio-to-Spectrogram/audio-to-spectrogram.py

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+import librosa
+import matplotlib.pyplot as plt
+
+audio = 'path/to/your/audio/file'  #replace this with the path to your file
+
+x, sr = librosa.load(audio)
+X = librosa.stft(x)
+Xdb = librosa.amplitude_to_db(abs(X))
+plt.figure(figsize = (10, 5))
+librosa.display.specshow(Xdb, sr = sr, x_axis = 'time', y_axis = 'hz')
+plt.colorbar()
+plt.title('Spectrogram of '+ audio)
+plt.show()  # This will show the plot