Abstract: Example methods, apparatus and articles of manufacture to determine semantic information for audio are disclosed. Example apparatus disclosed herein are to process an audio signal obtained by a media device to determine values of a plurality of features that are characteristic of the audio signal, compare the values of the plurality of features to a first template having corresponding first ranges of the plurality of features to determine a first score, the first template associated with first semantic information, compare the values of the plurality of features to a second template having corresponding second ranges of the plurality of features to determine a second score, the second template associated with second semantic information, and associate the audio signal with at least one of the first semantic information or the second semantic information based on the first score and the second score.

Abstract: Apparatuses are disclosed for identifying portable devices carried by the same person. An example apparatus includes at least one memory, instructions on the apparatus, and a processor to execute the instructions to access media exposure data from at least one of a plurality of portable computing devices, access motion strings from each of the plurality of portable computing devices, each of said strings comprising a successive binary representation of motion over a first period of time, compare the motion strings in a processor to determine if at least two motion strings match within a predetermined threshold, and identify the devices that produced matching motion strings.

Abstract: Example systems, methods, apparatus and articles of manufacture for wirelessly modifying detection characteristics of portable devices are disclosed herein. Example portable devices include example radio circuitry and example processor circuitry. In disclosed examples, the example processor circuitry is to cause the radio circuitry to scan for radio frequency beacons. The example processor circuitry is also to trigger activation of audio monitoring via a microphone of the portable device in response to establishment of a first connection with a first radio frequency beacon, the audio monitoring to at least one of detect an audio code or generate an audio signature. The example processor circuitry is further to cause the audio monitoring to stop in response to establishment of a second connection with a second radio frequency beacon different from the first radio frequency beacon.

Abstract: Systems and methods are disclosed for customizing, distributing and processing audio signature data. Examples disclosed herein include waking a portable device from an inactive state in response to an activation signal. Disclosed examples also include generating a first signature based on audio from a microphone of the portable device during a period of time specified by the activation signal. Disclosed examples further include comparing the first signature with a second signature obtained from the activation signal to determine a match score, and communicating a match result based on the match score to a server via a network.

Abstract: Example methods, apparatus and articles of manufacture to determine semantic information for audio are disclosed. Example apparatus disclosed herein are to process an audio signal obtained by a media device to determine values of a plurality of features that are characteristic of the audio signal, compare the values of the plurality of features to a first template having corresponding first ranges of the plurality of features to determine a first score, the first template associated with first semantic information, compare the values of the plurality of features to a second template having corresponding second ranges of the plurality of features to determine a second score, the second template associated with second semantic information, and associate the audio signal with at least one of the first semantic information or the second semantic information based on the first score and the second score.

Abstract: Example systems, methods, apparatus and articles of manufacture for wirelessly modifying detection characteristics of portable devices are disclosed herein. Example portable devices include example radio circuitry and example processor circuitry. In disclosed examples, the example processor circuitry is to cause the radio circuitry to scan for radio frequency beacons. The example processor circuitry is also to trigger activation of audio monitoring via a microphone of the portable device in response to establishment of a first connection with a first radio frequency beacon, the audio monitoring to at least one of detect an audio code or generate an audio signature. The example processor circuitry is further to cause the audio monitoring to stop in response to establishment of a second connection with a second radio frequency beacon different from the first radio frequency beacon.

Abstract: Apparatuses are disclosed for identifying portable devices carried by the same person. An example apparatus includes at least one memory, instructions on the apparatus, and a processor to execute the instructions to access media exposure data from at least one of a plurality of portable computing devices, access motion strings from each of the plurality of portable computing devices, each of said strings comprising a successive binary representation of motion over a first period of time, compare the motion strings in a processor to determine if at least two motion strings match within a predetermined threshold, and identify the devices that produced matching motion strings.

Abstract: Example methods, apparatus and articles of manufacture to determine semantic information for audio are disclosed. Example apparatus disclosed herein are to process an audio signal obtained by a media device to determine values of a plurality of features that are characteristic of the audio signal, compare the values of the plurality of features to a first template having corresponding first ranges of the plurality of features to determine a first score, the first template associated with first semantic information, compare the values of the plurality of features to a second template having corresponding second ranges of the plurality of features to determine a second score, the second template associated with second semantic information, and associate the audio signal with at least one of the first semantic information or the second semantic information based on the first score and the second score.

Abstract: Example articles of manufacture and apparatus for producing supplemental information for audio signature data are disclosed herein. An example apparatus includes memory including computer readable instructions. The example apparatus also includes a processor to execute the instructions to at least obtain first audio signature data associated with a first time period of media, obtain first semantic signature data associated with the first time period of the media and second semantic signature data associated with a second time period of the media, and when second audio signature data associated with the second time period of the media is unavailable, identify the media based on the first audio signature data associated with the first time period of media when the second semantic signature data associated with the second time period matches the first semantic signature data associated with the first time period of the media.

Abstract: Example systems, methods, apparatus and articles of manufacture for wirelessly modifying detection characteristics of portable devices are disclosed herein. Example portable devices disclosed here include a microphone and radio frequency circuitry to scan for a radio frequency beacon at a first scanning rate. Disclosed example apparatus also include a processor to trigger activation of audio monitoring, in the portable device, of an audio signal obtained via the microphone. In some disclosed examples, the audio monitoring is to be triggered in response to a first connection being made via the radio frequency circuitry with a first transmitter of the radio frequency beacon. In some disclosed examples, the audio monitoring is to collect research data from the audio signal.

Abstract: Systems and methods are disclosed for identifying portable devices carried by the same person. An example system includes receiving media exposure data over a data network from at least one of a plurality of portable computing devices, motion strings to be received over the data network respectively from each of the plurality of portable computing devices, each of the strings including a successive binary representation of motion over a first period of time, the first period of time divided into a plurality of sub-periods of time, and comparing the motion strings to determine if at least two motion strings match within a predetermined threshold, and identify the devices that produced matching motion strings as being physically carried by a same person.

Abstract: Systems and methods are disclosed for customizing, distributing and processing audio signature data. Examples disclosed herein include waking a portable device from an inactive state in response to an activation signal. Disclosed examples also include generating a first signature based on audio from a microphone of the portable device during a period of time specified by the activation signal. Disclosed examples further include comparing the first signature with a second signature obtained from the activation signal to determine a match score, and communicating a match result based on the match score to a server via a network.

Abstract: Systems and methods are disclosed for identifying portable devices carried by the same person. An example system includes means for receiving input to receive media exposure data over a data network from at least one of a plurality of portable computing devices, the means for receiving input to receive motion strings over the data network respectively from each of the plurality of portable computing devices, each of the strings including a successive binary representation of motion over a first period of time, the first period of time divided into a plurality of sub-periods of time, and means for processing, operatively coupled to the means for receiving input, being configured to compare the motion strings to determine if at least two motion strings match within a predetermined threshold, and identify the devices that produced matching motion strings as being physically carried by a same person.

Abstract: Example systems, methods, apparatus and articles of manufacture for wirelessly modifying detection characteristics of portable devices are disclosed herein. Example portable devices disclosed here include a microphone and radio frequency circuitry to scan for a radio frequency beacon at a first scanning rate. Disclosed example apparatus also include a processor to trigger activation of audio monitoring, in the portable device, of an audio signal obtained via the microphone. In some disclosed examples, the audio monitoring is to be triggered in response to a first connection being made via the radio frequency circuitry with a first transmitter of the radio frequency beacon. In some disclosed examples, the audio monitoring is to collect research data from the audio signal.

Abstract: Systems and methods are disclosed for identifying portable devices carried by the same person. An example method includes receiving media exposure data from one of a plurality of portable computing devices. Receiving segmented accelerometer data from the plurality of portable computing devices. Forming accelerometer classification data for the plurality of portable computing devices based on features extracted from the segmented accelerometer data. Comparing the accelerometer classification data for the first portable computing device to accelerometer classification data for the plurality of portable computing devices, to determine if the accelerometer classification data for the first portable computing device is sufficiently similar to a second portable computing devices.

Abstract: Systems and methods are disclosed for customizing, distributing and processing audio fingerprint data. An example method includes receiving, at a first device, an activation signal and a first audio fingerprint via first wireless communications between the first device and a communications network, the receiving occurring while the first device is not recording audio via a microphone of the first device; based on the activation signal, recording audio using the microphone during a first time period; generating a second audio fingerprint representative of the recorded audio; determining whether the second audio fingerprint matches the first audio fingerprint; and sending an indication of whether the second audio fingerprint matches the first audio fingerprint to an audience measurement entity via second wireless communications between the first device and the communications network.

Abstract: Example systems, methods, apparatus and articles of manufacture for wirelessly modifying detection characteristics of portable devices are disclosed herein. Example portable devices disclosed here include a microphone and radio frequency circuitry to scan for a radio frequency beacon at a first scanning rate. Disclosed example apparatus also include a processor to trigger activation of audio monitoring, in the portable device, of an audio signal obtained via the microphone. In some disclosed examples, the audio monitoring is to be triggered in response to a first connection being made via the radio frequency circuitry with a first transmitter of the radio frequency beacon. In some disclosed examples, the audio monitoring is to collect research data from the audio signal.

Abstract: Example methods, apparatus and articles of manufacture to determine semantic information for audio are disclosed. Example apparatus disclosed herein are to process an audio signal obtained by a media device to determine values of a plurality of features that are characteristic of the audio signal, compare the values of the plurality of features to a first template having corresponding first ranges of the plurality of features to determine a first score, the first template associated with first semantic information, compare the values of the plurality of features to a second template having corresponding second ranges of the plurality of features to determine a second score, the second template associated with second semantic information, and associate the audio signal with at least one of the first semantic information or the second semantic information based on the first score and the second score.

Abstract: Example articles of manufacture and apparatus for producing supplemental information for audio signature data are disclosed herein. An example apparatus includes memory including computer readable instructions. The example apparatus also includes a processor to execute the instructions to at least obtain first audio signature data associated with a first time period of media, obtain first semantic signature data associated with the first time period of the media and second semantic signature data associated with a second time period of the media, and when second audio signature data associated with the second time period of the media is unavailable, identify the media based on the first audio signature data associated with the first time period of media when the second semantic signature data associated with the second time period matches the first semantic signature data associated with the first time period of the media.

Abstract: Example apparatus, articles of manufacture and methods to determine semantic audio information for audio are disclosed. Example methods include extracting a plurality of audio features from the audio, at least one of the plurality of audio features including at least one of a temporal feature, a spectral feature, a harmonic feature, or a rhythmic feature. Example methods also include comparing the plurality of audio features to a plurality of stored audio feature ranges having tags associated therewith. Example methods further include determining a set of ranges of the plurality of stored audio feature ranges having closest matches to the plurality of audio features, a tag associated with the set of ranges having the closest matches to be used to determine the semantic audio information for the audio.