Shazam-like

A Matlab App that extracts the partition of a music by studying its temporal-frequential representation (spectrogram). This is certainly the processing done by Shazam in order to recognize a music. This app enables to:

• Study Temporal/Frequential and Spectrogram representation of a signal
• Extract the partition of the music
• Regenerate the music using this partition

⌛ Global Analysis of music

• Temporal + Frequential Analysis enable to determine the best compromise of accuracy.
  ↗ Frequency Accuracy ⇒ ↘ Temporal Accuracy. Need both to analysis a music.
• Compromise chosen → 21Hz of frequency resolution and 0.046s of temporal resolution
• 20Hz is enough in order to regroup close notes into the same frequency

👩‍💻 Spectral Analysis of music

• Using an appropriate threshold enables to exctract main notes while removing a maximum of noise

🎼 Extraction of partition

• The chosen algorithm for the extraction of the partition is a flood-fill algorithm (homemade)
• This enables to avoid doublons of occurences of notes

🎸 Regeneration of the music

• Based on the partition and the power of each note, it is possible to regerate the music.
• You can hear the difference in the example in the App: between lac_des_cygnes_original.wav and lac_des_cygnes_encoded.wav

Authors

David Szmul - Github | LinkedIn