SYSTEMS AND METHODS FOR SOURCE SIGNAL SEPARATION

• US 20140163991A1
• Filed: 02/12/2014
• Published: 06/12/2014
• Est. Priority Date: 05/04/2012
• Status: Active Grant

• Current Assignee: XMOS Ltd.
• Original Assignee: Kaonyx Labs LLC
• Inventors: Short, Kevin M., Hone, Brian T.
• Granted Patent: US 9,443,535 B2
• Time in Patent Office: Days
• US Class Current: 704/258
• CPC Class Codes: G01S 13/723 by using numerical data
• CPC Class Codes: G01S 13/88 Radar or analogous systems specially adapted for specific applications electromagnetic prospecting or detecting of objects, e.g. near-field detection, G01V3/00
• CPC Class Codes: G01S 13/89 for mapping or imaging
• CPC Class Codes: G01S 3/02 using radio waves
• CPC Class Codes: G01S 3/74 Multi-channel systems specially adapted for direction-finding, i.e. having a single antenna system capable of giving simultaneous indications of the directions of different signals systems in which the directions of different signals are determined sequentially and displayed simultaneously G01S3/04, G01S3/14
• CPC Class Codes: G01S 3/8006 Multi-channel systems specially adapted for direction-finding, i.e. having a single aerial system capable of giving simultaneous indications of the directions of different signals
• CPC Class Codes: G01S 7/288 Coherent receivers
• CPC Class Codes: G01S 7/2883 using FFT processing
• CPC Class Codes: G06F 16/636 by using biological or physiological data
• CPC Class Codes: G10L 13/02 Methods for producing synthetic speech; Speech synthesisers
• CPC Class Codes: G10L 15/02 Feature extraction for speech recognition; Selection of recognition unit
• CPC Class Codes: G10L 15/14 using statistical models, e.g. Hidden Markov Models [HMMs] G10L15/18 takes precedence
• CPC Class Codes: G10L 15/26 Speech to text systems G10L15/08 takes precedence
• CPC Class Codes: G10L 2015/025 Phonemes, fenemes or fenones being the recognition units
• CPC Class Codes: G10L 21/0272 Voice signal separating
• CPC Class Codes: G10L 25/18 the extracted parameters being spectral information of each sub-band
• CPC Class Codes: G16B 50/00 ICT programming tools or database systems specially adapted for bioinformatics
• CPC Class Codes: G16B 50/30 Data warehousing; Computing architectures
• CPC Class Codes: H04R 3/00 Circuits for transducers , loudspeakers or microphones

Abstract

A method of processing a signal, including taking a signal formed from a plurality of source signal emitters and expressed in an original domain, decomposing the signal into a mathematical representation of a plurality of constituent elements in an alternate domain, analyzing the plurality of constituent elements to associate at least a subset of the constituent elements with at least one of the plurality of source signal emitters, separating at least a subset of the constituent elements based on the association and reconstituting at least a subset of constituent elements to produce an output signal in at least one of the original domain, the alternate domain and another domain.

Claims

1. A method of processing an original domain signal, comprising:

receiving an input signal comprising an original domain signal and creating a first window data set and a second window data set from the signal, wherein an initiation of the second window data set is offset from an initiation of the first window data set and wherein each of the first and second window data sets have a substantially similar input window size;

converting the first window data set and the second window data set to a frequency domain and storing the resulting data as frequency domain data having a fundamental transform resolution;

performing complex spectral phase evolution (CSPE) on the frequency domain data to estimate component frequencies of the first and second window data sets at a resolution greater than the fundamental transform resolution; and

using the component frequencies and parameters estimated in the CSPE, sampling a set of frequency-domain high resolution windows to select a mathematical representation comprising a frequency-domain high resolution window that fits at least one of the amplitude, phase, amplitude modulation and frequency modulation of a component of an underlying signal wherein the component comprises at least one oscillator peak; and

resynthesizing an output signal from the mathematical representation, the output signal having an output signal window size.

2. The method of claim 1 wherein the output signal window size differs from the input window size.

3. The method of claim 2 wherein the input window size is based on at least one of a sample rate, a sample density per length and a sample density per area unit of the output signal.

4. The method of claim 2 wherein the output signal window size is smaller than the input window size.

5. The method of claim 2, wherein sampling is adjusted based, at least in part, on the desired characteristics of the output signal to change at least one of a sample rate, a sample density per length and a sample density per area unit of the output signal using the mathematical representation.

6. The method of claim 5, wherein sampling is increased during one of periods of high frequency modulation in the signal, rapid changes in amplitude of the signal, and changes in screen sizes.

7. The method of claim 1 wherein the output signal size corresponds to a size of a central portion of the first window data set and the second window data set.

8. The method of claim 1 wherein the initiation of the second window data set is offset from the initiation of the first window data set by a number of samples equal to an integer power of 2.

9. The method of claim 1, wherein resynthesizing includes predicting forward within a frame to generate smaller frames.

10. A computer readable medium containing program instructions where execution of the program instructions by one or more processors of a computer system causes the processors to carry out the steps of:

receive an input signal comprising an original domain signal and creating a first window data set and a second window data set from the signal, wherein an initiation of the second window data set is offset from an initiation of the first window data set and wherein each of the first and second window data sets have a substantially similar input window size;

convert the first window data set and the second window data set to a frequency domain and storing the resulting data as frequency domain data having a fundamental transform resolution;

perform complex spectral phase evolution (CSPE) on the frequency domain data to estimate component frequencies of the first and second window data sets at a resolution greater than the fundamental transform resolution; and

use the component frequencies estimated in the CSPE, sampling a set of frequency-domain high resolution windows to select a mathematical representation comprising a frequency-domain high resolution window that fits at least one of the amplitude, phase, amplitude modulation and frequency modulation of a component of an underlying signal wherein the component comprises at least one oscillator peak; and

resynthesize an output signal from the mathematical representation, the output signal having an output signal window size.

11. The method of claim 10 wherein the output signal window size differs from the input window size.

12. The method of claim 11 wherein the input window size is based on at least one of a sample rate, a sample density per length and a sample density per area unit of the output signal.

13. The method of claim 11 wherein the output signal window size is smaller than the input window size.

14. The method of claim 11, wherein sampling is adjusted based, at least in part, on the desired characteristics of the output signal to change at least one of a sample rate, a sample density per length and a sample density per area unit of the output signal using the mathematical representation.

15. The method of claim 14, wherein sampling is increased during one of periods of high frequency modulation in the signal, rapid changes in amplitude of the signal, and changes in screen sizes.

16. The method of claim 10 wherein the output signal size corresponds to a size of a central portion of the first window data set and the second window data set.

17. The method of claim 10 wherein the initiation of the second window data set is offset from the initiation of the first window data set by a number of samples equal to an integer power of 2.

18. The method of claim 10, wherein resynthesizing includes predicting forward within a frame to generate smaller frames.