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Found results for
patents
1.
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METHODS AND APPARATUS TO IMPROVE DETECTION OF AUDIO SIGNATURES
Document Number |
03145158 |
Status |
Pending |
Filing Date |
2020-06-17 |
Open to Public Date |
2020-12-30 |
Owner |
GRACENOTE, INC. (USA)
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Inventor |
Rafii, Zafar
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Abstract
Methods, apparatus, systems and articles of manufacture are disclosed to improve detection of audio signatures. An example apparatus includes a TDOA determiner to determine a first time difference of arrival for a first audio sensor of a meter and a second audio sensor of the meter, and a second time difference of arrival for the first audio sensor and a third audio sensor of the meter, a TDOA matcher to determine a match by comparing the first time difference of arrival to a first virtual source time difference of arrival and a second virtual source time difference of arrival, responsive to determining that the first time difference of arrival matches the first virtual source time difference of arrival, identify a first virtual source location as the location of a media presentation device, and remove an audio recording of the second audio sensor to reduce a computational burden on the processor.
IPC Classes ?
- H04H 60/33 - Arrangements for monitoring the users' behaviour or opinions
- G01S 5/22 - Position of source determined by co-ordinating a plurality of position lines defined by path-difference measurements
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2.
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METHODS AND APPARATUS TO IMPROVE DETECTION OF AUDIO SIGNATURES
Document Number |
03231732 |
Status |
Pending |
Filing Date |
2020-06-17 |
Open to Public Date |
2020-12-30 |
Owner |
GRACENOTE, INC. (USA)
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Inventor |
Rafii, Zafar
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Abstract
Methods, apparatus, systems and articles of manufacture are disclosed to improve detection of audio signatures. An example apparatus includes a TDOA determiner to determine a first time difference of arrival for a first audio sensor of a meter and a second audio sensor of the meter, and a second time difference of arrival for the first audio sensor and a third audio sensor of the meter, a TDOA matcher to determine a match by comparing the first time difference of arrival to a first virtual source time difference of arrival and a second virtual source time difference of arrival, responsive to determining that the first time difference of arrival matches the first virtual source time difference of arrival, identify a first virtual source location as the location of a media presentation device, and remove an audio recording of the second audio sensor to reduce a computational burden on the processor.
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3.
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METHODS AND APPARATUS TO FINGERPRINT AN AUDIO SIGNAL VIA NORMALIZATION
Document Number |
03111800 |
Status |
Pending |
Filing Date |
2019-09-06 |
Open to Public Date |
2020-03-12 |
Owner |
GRACENOTE, INC. (USA)
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Inventor |
- Coover, Robert
- Rafii, Zafar
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Abstract
Methods, apparatus, systems, and articles of manufacture are disclosed to fingerprint audio via mean normalization. An example apparatus for audio fingerprinting includes a frequency range separator to transform an audio signal into a frequency domain, the transformed audio signal including a plurality of time-frequency bins including a first time-frequency bin, an audio characteristic determiner to determine a first characteristic of a first group of time-frequency bins of the plurality of time-frequency bins, the first group of time-frequency bins surrounding the first time-frequency bin and a signal normalizer to normalize the audio signal to thereby generate normalized energy values, the normalizing of the audio signal including normalizing the first time-frequency bin by the first characteristic. The example apparatus further includes a point selector to select one of the normalized energy values and a fingerprint generator to generate a fingerprint of the audio signal using the selected one of the normalized energy values.
IPC Classes ?
- G10L 19/018 - Audio watermarking, i.e. embedding inaudible data in the audio signal
- G10L 19/025 - Detection of transients or attacks for time/frequency resolution switching
- G10L 25/18 - Speech or voice analysis techniques not restricted to a single one of groups characterised by the type of extracted parameters the extracted parameters being spectral information of each sub-band
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