AES E-Library

AES E-Library

Improving a Multiple Pitch Estimation Method With AR Models

Document Thumbnail

Multiple pitch estimation (MPE) methods aim to detect the pitches of the sounds that are part of a certain mixture. A possible approach to such problem is applying a FIR filter bank in the frequency domain and choosing the filter that presents more energy. This process is equivalent to performing a linear combination of frequency domain representations of a signal, hence it is a linear classification tool. When spectral lobes corresponding to existing partials merge, such process may fail. In this paper, AR models were used to provide an spectral representation where lobes tend to merge less. The proper choice of model significantly improved the MPE method.

AES Conference:
Paper Number:
Publication Date:

Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!

This paper costs $33 for non-members and is free for AES members and E-Library subscribers.

Learn more about the AES E-Library

E-Library Location:

Start a discussion about this paper!

AES - Audio Engineering Society