EFFECTIVE DEPLOYMENT OF TEMPORAL NOISE SHAPING (TNS) FILTERS
First Claim
1. A method of using filters to process audio signals, the method causing a computing device to perform steps comprising:
- calculating a filter for each of a plurality of frequency bands;
determining a distance between coefficients in adjacent frequency bands;
clustering the filters into at least two groups based on energies in each of the frequency bands covered by the filters;
merging the clustered filters with a shortest distance between coefficients; and
processing audio signals using the merged filters.
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Accused Products
Abstract
The MPEG2 Advanced Audio Coder (AAC) standard limits the number of filters used to either one filter for a “short” block or three filters for a “long” block. In cases where the need for additional filters is present but the limit of permissible filters has been reached, the remaining frequency spectra are simply not covered by TNS. Two solutions are proposed to deploy TNS filters in order to get the entire spectrum of the signal into TNS. The first method involves a filter bridging technique and complies with the current AAC standard. The second method involves a filter clustering technique. Although the second method is both more efficient and accurate in capturing the temporal structure of the time signal, it is not AAC standard compliant. Thus, a new syntax for packing filter information derived using the second method for transmission to a receiver is also outlined.
31 Citations
18 Claims
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1. A method of using filters to process audio signals, the method causing a computing device to perform steps comprising:
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calculating a filter for each of a plurality of frequency bands; determining a distance between coefficients in adjacent frequency bands; clustering the filters into at least two groups based on energies in each of the frequency bands covered by the filters; merging the clustered filters with a shortest distance between coefficients; and processing audio signals using the merged filters. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A system for processing audio signals using filters, the system comprising:
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a processor; a module controlling the processor to calculate a filter for each of a plurality of frequency bands; a module controlling the processor to determine a distance between coefficients in adjacent frequency bands; a module controlling the processor to cluster the filters into at least two groups based on energies in each of the frequency bands covered by the filters; a module controlling the processor to merge the clustered filters with a shortest distance between coefficients; and a module controlling the processor to process audio signals using the merged filters. - View Dependent Claims (8, 9, 10, 11, 12)
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13. A computer-readable storage medium storing instructions which, when executed by a computing device, cause the computing device to use filters to process audio signals, the instructions comprising:
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calculating a filter for each of a plurality of frequency bands; determining a distance between coefficients in adjacent frequency bands; clustering the filters into at least two groups based on energies in each of the frequency bands covered by the filters; merging the clustered filters with a shortest distance between coefficients; and processing audio signals using the merged filters. - View Dependent Claims (14, 15, 16, 17, 18)
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Specification