Marsyas

Load the audio file into Marsyas.

Extract MFCC features from the audio.

Train a machine learning classifier (e.g., SVM) using a labeled dataset of music tracks.

Classify the genre of the input track using the trained classifier.

Load the audio file into Marsyas.

Extract spectral features from the audio.

Train a machine learning classifier (e.g., neural network) using a labeled dataset of instrument recordings.

Identify the instruments present in the input recording using the trained classifier.

Load the audio file into Marsyas.

Extract robust audio features that are invariant to common audio transformations.

Generate a unique fingerprint based on the extracted features.

Store the fingerprint in a database for later identification.

Load the audio stream into Marsyas.

Extract relevant audio features for sound event detection.

Train a machine learning classifier using a labeled dataset of sound events.

Detect the presence of specific sound events in the audio stream using the trained classifier.

Load the audio file into Marsyas.

Extract speech features (e.g., MFCCs) from the audio.

Use a pre-trained speech recognition model to transcribe the audio into text.