How search works?

[loretoparisi]

Could you please depict how this landmarks based fingerprint search works in your implementation? Also, assumed I want to embed the audio representation in a different way (let's say spectrum or correlogram instead of fingerprint), would the landmark based representation work? Thank you.

[dpwe]

You could try reading Avery Wang's papers e.g. https://www.ee.columbia.edu/~dpwe/papers/Wang03-shazam.pdf The point about the spectral-peak-pair landmarks is that some of them remain invariant to channel and additive noise, giving the representation robustness. You can try to use any other kinds of derived features, but they will likely have different properties in terms of robustness and discriminability.

DAn.

On Fri, Dec 21, 2018 at 5:51 AM Loreto Parisi [email protected] wrote:

Could you please depict how fingerprint search works? Also, assumed I want to embed the audio representation in a different way (let's say spectrum or correlogram instead of fingerprint), would the landmark based representation work? Thank you.

— You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub https://github.com/dpwe/audfprint/issues/52, or mute the thread https://github.com/notifications/unsubscribe-auth/AAhs0fQD3shUFUr0OUOGxUC--8iQ9ohyks5u7L0bgaJpZM4ZdyhT .