System and method for analyzing audio information to determine pitch and/or fractional chirp rate

Abstract

The invention discloses a system and a method configured to analyze audio information. The system and method may include determining for an audio signal, an estimated pitch of a sound represented in the audio signal, an estimated chirp rate (or fractional chirp rate) of a sound represented in the audio signal, and / or other parameters of sound(s) represented in the audio signal. The one or more parameters may be determined through analysis of transformed audio information derived from the audio signal {e.g., through Fourier Transform, Fast Fourier Transform, Short Time Fourier Transform, Spectral Motion Transform, and / or other transforms). Statistical analysis may be implemented to determine metrics related to the likelihood that a sound represented in the audio signal has a pitch and / or chirp rate (or fractional chirp rate). Such metrics may be implemented to determine an estimated pitch and / or fractional chirp rate.

Description

[0001] Cross References to Related Applications [0002] This application claims the title "SYSTEM AND METHOD FOR ANALYZING AUDIO INFORMANDION TO DETERMINE PITCH AND / OR FRACTIONAL CHIRP RATE), which is hereby incorporated by reference in its entirety. technical field [0003] The present invention relates to analyzing audio information by determining a pitch likelihood measure and a pitch likelihood measure from a transformation of the audio information during a time sampling window to determine the pitch and / or fractional chirp of the sound of the audio information within the time sampling window Slope (fractional chirp rate). Background technique [0004] Systems and methods for analyzing transformed audio information to detect the pitch of sounds represented in the transformed audio information are known. In general, these techniques focus on analyzing transformed audio information or further transformations (e.g., cepstrum) of previously transformed audio information, ...

AI Technical Summary

Problems solved by technology

However, the accuracy and / or precision of conventional techniques can drop significantly under "noisy" conditions (eg, acoustic noise or process noise)

Since many environments and / or audio signals to which these techniques are applied can be quite noisy, conventional methods for detecting pitch may be of little use

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