🐍 A Python library for audio feature extraction, classification, segmentation and applications 🔊

💪 Ability

pyAudioAnalysis is a Python library covering a wide range of audio analysis tasks. Through pyAudioAnalysis you can:

• Extract audio features and representations (e.g. mfccs, spectrogram, chromagram)
• Train, parameter tune and evaluate classifiers of audio segments
• Classify unknown sounds
• Segments You can evaluate segments of each .wav audio files. For more details please go thruogh the creating_segmentaion.py.
• Detect audio events and exclude silence periods from long recordings
• Perform supervised segmentation (joint segmentation - classification)
• Perform unsupervised segmentation (e.g. speaker diarization) and extract audio thumbnails
• Train and use audio regression models (example application: emotion recognition)
• Apply dimensionality reduction to visualize audio data and content similarities

💻 Working Visuals

Stay tuned

🤵‍♂️ Main Author

https://github.com/tyiannak/pyAudioAnalysis

🤝 Contribute

• Your Contributions are gladly welcome. What are you waiting for clone this repo right now and let's learn together.

git clone https://github.com/radadiavasu/AudioAnalysis.git