ghermoso/egtzan_plus

Dataset Card

The egtzan_plus dataset is an GTZAN like dataset for musical genre classification in the vision domain. In egtzan_plus, new classes such as Electro and Afro have been added to the original GTZAN dataset. Each audio track (30s) is transformed into a Mel-frequency spectrogram using Librosa:

# Mel-frequency spectrogram generation
y, sr = librosa.load(audio_file)
ms = librosa.feature.melspectrogram(y=y, sr=sr, n_mels=128, fmax=8000)
log_ms = librosa.power_to_db(ms, ref=np.max)
librosa.display.specshow(log_ms)

The dataset contains the following classes:

• Afro
• Classical
• Country
• Disco
• Electro
• Jazz
• Latin
• Metal
• Pop
• Rap
• Reggae
• Rock

The dataset is split into train and test sets as follows:

• Train: 1697 examples
• Test: 189 examples