Example methods and systems for modifying the playback of content using pre-processed profile information are described. Example instructions, when executed, cause at least one processor to access a media stream that includes media and a profile of equalization parameters, the media stream provided to a device via a network, the profile of equalization parameters included in the media stream selected based on a comparison of a reference fingerprint to a query fingerprint generated based on the media, the profile of equalization parameters including an equalization parameter for the media; and modify playback of the media based on the equalization parameter specified in the accessed profile.

Methods and apparatus to dynamically generate audio signatures adaptive to circumstances associated with media being monitored are disclosed. An example apparatus includes a media content analyzer to detect a watermark encoded in media monitored by a meter. The apparatus includes a media environment analyzer to estimate an amount of background noise in an environment in which the media is monitored by the meter. The apparatus further includes a signature scheme selector to select a first signature scheme from among a plurality of signature schemes to generate monitored signatures of the media. The first signature scheme is selected based on the amount of background noise. The apparatus also includes a signature generator to generate a first monitored signature of the media based on the first signature scheme.

Systems and methods are provided for determining a media cost equivalent to attribute to the appearance of a sponsor's logo or other object in a media item, such as an image or video. This determination may be based on factors such as clarity, prominence, visibility, size, or placement of a sponsor logo or other object related to the sponsor within at least one media item. One or more machine learning models may be utilized to automatically identify objects within, and otherwise analyze, image data in order to determine sponsor value.

A system and method for determining a similarity measure between a first network broadcast time segment and a second network broadcast time segment. The method includes generating first training data comprising groupings of similar broadcast networks and groupings of dissimilar broadcast networks, extracting second training data comprising audience data and genre data for time segments of network broadcasts, and training an encoder neural network based on the first and second training data. The method includes executing the trained neural network with input data comprising the first network broadcast time segment and determining a similarity measure relative to the second network broadcast time segment.

A processor of a broadcasting selects an encoding method for a first broadcast based on a first broadcast characteristic, wherein the encoding method is a default encoding method when the first broadcast characteristic is not recognized by the system, and transmits the first broadcast, encoded using the encoding method, to a playback device. The processor further uses a feedback control loop to dynamically adjust parameters of the encoding method to optimize a metric related to quality and a bitrate of the encoded first broadcast. The processor transmits a second broadcast encoded using the encoding method having the adjusted parameters to the playback device.

An enhanced radio system is disclosed that provides for the capture and playback of one or more radio stations. A user may tune to a station, scan through stations, rewind through missed content (even while the system is off), and fast-forward through undesired content, while downloading and uploading audio content, and sending content to another user. A user may rate content, and be notified when that content is played on any station, with undesirable content skipped and desirable content saved, or station recommendations made. Support for multiple sets of configuration information to allow use by multiple listeners and in multiple locations may be provided. Optionally provided are security features to prevent the unauthorized downloading, uploading, and saving of copies of content, other radio related and content related information, a karaoke mode, integration with a telephone with the radio, or reporting usage information to a collection facility.

An enhanced radio system is disclosed that provides for the capture and playback of one or more radio stations. A user may tune to a station, scan through stations, rewind through missed content (even while the system is off), and fast-forward through undesired content, while downloading and uploading audio content, and sending content to another user. A user may rate content, and be notified when that content is played on any station, with undesirable content skipped and desirable content saved, or station recommendations made. Support for multiple sets of configuration information to allow use by multiple listeners and in multiple locations may be provided. Optionally provided are security features to prevent the unauthorized downloading, uploading, and saving of copies of content, other radio related and content related information, a karaoke mode, integration with a telephone with the radio, or reporting usage information to a collection facility.

A system and method for determining a similarity measure between a first network broadcast time segment and a second network broadcast time segment. The method includes generating first training data comprising groupings of similar broadcast networks and groupings of dissimilar broadcast networks, extracting second training data comprising audience data and genre data for time segments of network broadcasts, and training an encoder neural network based on the first and second training data. The method includes executing the trained neural network with input data comprising the first network broadcast time segment and determining a similarity measure relative to the second network broadcast time segment.

A method for use in an automated media scheduling system including a processor and associated memory includes inserting media items from a first category into broadcast schedule positions of a first daypart of a broadcast media schedule, and determining that a second daypart, adjacent to the first daypart, is to be scheduled. A first position within the second daypart is selected, and a determination is made regarding whether the first position is a transition position. In response to determining that the first position is not a transition position, a first media item is selected in accordance with a user-specified order. The broadcast media schedule is automatically modified by inserting the first media item into the first position.

Methods and apparatus to dynamically generate audio signatures adaptive to circumstances associated with media being monitored are disclosed. An example apparatus includes a media content analyzer to detect a watermark encoded in media monitored by a meter. The apparatus includes a media environment analyzer to estimate an amount of background noise in an environment in which the media is monitored by the meter. The apparatus further includes a signature scheme selector to select a first signature scheme from among a plurality of signature schemes to generate monitored signatures of the media. The first signature scheme is selected based on the amount of background noise. The apparatus also includes a signature generator to generate a first monitored signature of the media based on the first signature scheme.