System and method for processing sound signals implementing a spectral motion transform
A system and method are provided for processing sound signals. The processing may include identifying individual harmonic sounds represented in sound signals, determining sound parameters of harmonic sounds, classifying harmonic sounds according to source, and/or other processing. The processing may include transforming the sound signals (or portions thereof) into a space which expresses a transform coefficient as a function of frequency and chirp rate. This may facilitate leveraging of the fact that the individual harmonics of a single harmonic sound may have a common pitch velocity (which is related to the chirp rate) across all of its harmonics in order to distinguish an the harmonic sound from other sounds (harmonic and/or non-harmonic) and/or noise.
1. A system configured to process a sound signal, the system comprising:
one or more processors configured to execute computer program modules, the computer program modules comprising:
a time window module configured to separate a sound signal into signal portions associated with individual time windows, wherein the time windows correspond to a period of time greater than a sampling period of the sound signal; and
a transform module configured to transform the signal portions into a frequency-chirp domain, wherein the frequency-chirp domain representation of the sound signal specifies a transform coefficient as a function of frequency and fractional chirp rate for the signal portions, wherein the fractional chirp rate is chirp rate divided by frequency.
2. The system of claim 1 , wherein the computer program modules further comprise a sound parameter module configured to determine, based on the transformed signal portions, a first sound parameter of individual harmonic sounds represented in the sound signal.
3. The system of claim 2 , wherein the sound parameter module is configured to determine the first sound parameter on a per signal portion basis.
4. The system of claim 2 , wherein the sound parameter module is further configured to determine, based on the transformed signal portions, a second sound parameter of individual harmonic sounds represented in the sound signal, the second sound parameter being a different parameter than the first sound parameter.
5. The system of claim 2 , wherein the first sound parameter includes one or both of pitch and/or chirp rate.
6. The system of claim 1 , wherein the transform module is configured such that the transform of a given signal portion is obtained by applying a set of filters to the given signal portion, wherein individual filters in the set of filters correspond to different frequency and chirp rate pairs.
7. The system of claim 1 , wherein the transform module is configured such that the transform coefficient comprises a real component and an imaginary component.
8. The system of claim 1 , wherein the transform module is configured such that the transform coefficient is modulus squared of a real component and an imaginary component.
9. The system of claim 1 , further comprising a classification module configured to identify sounds generated by separate sources based on the transform coefficients.
10. A method of processing a sound signal, the method comprising:
separating a sound signal into signal portions associated with individual time windows, wherein the time windows correspond to a period of time greater than a sampling period of the sound signal; and
transforming the signal portions into a frequency-chirp domain, wherein the frequency-chirp domain representation of a given signal portion specifies a transform coefficient as a function of frequency and fractional chirp rate for the signal given portion, wherein the fractional chirp rate is chirp rate divided by frequency.
11. The method of claim 10 , further comprising determining, based on the transformed signal portions, a first sound parameter of individual harmonic sounds represented in the sound signal.
12. The method of claim 11 , wherein determining the first sound parameter comprises determining the first parameter on a per signal portion basis.
13. The method of claim 11 , further comprising determining, based on the transformed signal portions, a second sound parameter of individual harmonic sounds represented in the sound signal, the second sound parameter being a different parameter than the first sound parameter.
14. The method of claim 11 , wherein the first sound parameter includes one or both of pitch and/or chirp rate.
15. The method of claim 10 , wherein transforming a given signal portion comprises applying a set of filters to the given signal portion, wherein individual filters in the set of filters correspond to different frequency and chirp rate pairs.
16. The method of claim 10 , wherein the transform coefficient comprises a real component and an imaginary component.
17. The method of claim 10 , wherein the transform coefficient is modulus squared of a real component and an imaginary component.
18. The method of claim 10 , further comprising identifying sounds generated by separate sources based on the transform coefficients.
19. Non-transitory, machine-readable electronic storage media that stores processor-executable instructions for performing a method of processing a sound signal, the method comprising:
separating a sound signal into signal portions associated with individual time windows, wherein the time windows correspond to a period of time greater than a sampling period of the sound signal; and
transforming the signal portions into the frequency-chirp domain, wherein a frequency-chirp domain representation of a given signal portion specifies a transform coefficient as a function of frequency and fractional chirp rate for the given signal portion, wherein the fractional chirp rate is chirp rate divided by frequency.
20. The electronic storage media of claim 19 , wherein the method further comprises determining, based on the transformed signal portions, a first sound parameter of individual harmonic sounds represented in the sound signal.