SSM_chorma

SSM_chorma(wav_filename:str, anno_csv: str, hop_size: int = 4096, Nfft: int = 1024)

Function description

To show the self-similarity matrix calculated by chroma

Parameter

wav_filename: .wav filename

anno_csv: segmentation .csv

hop_size: hop size between frames

Nfft: numbers of points of FFT

Return

None

Example

from audioviz import *
import librosa
import numpy as np
from audioviz import StructureAnalysis

y, sr = librosa.load('Mozart_Turkish_March.wav', duration = 45)
StructureAnalysis.SSM_chorma('./Mozart_Turkish_March.wav', 'anno.csv')