code

import librosa
import numpy as np

# Path to your MP3 file (update path as needed)
audio_path = "Clarx - Zig Zag [NCS Release].mp3"

# Load audio (sr=None preserves original sample rate)
y, sr = librosa.load(audio_path, sr=None)

# Extract melody using librosa's pYIN implementation
f0, voiced_flag, voiced_prob = librosa.pyin(
    y,
    fmin=librosa.note_to_hz('C2'),
    fmax=librosa.note_to_hz('C7')
)

# Replace NaNs (unvoiced frames) with -1 to indicate a rest
melody_frequency_list = [freq if not np.isnan(freq) else -1 for freq in f0]

# Print the frequencies as a plain string, separated by commas, no spaces/brackets/type
# Also cast values to plain Python float or int for clean output
output = ",".join(str(int(freq)) if freq == int(freq) else str(float(freq)) for freq in melody_frequency_list)
print(output)