Abstract: A method and system for identifying the beginning and ending of songs via a machine learning analysis. A machine learning model analyzes streaming audio (such as a radio broadcast) in overlapping, 3-second samples. Each sample is labeled into groups such as “song,” “talk,” “commercial” and “transition.” Based on the location of the transition samples, an exact second a given song begins and ends in the audio stream is derivable. The model further identifies when two songs shift between one another.

Abstract: A method and system for identifying the beginning and ending of songs via a machine learning analysis. A machine learning model analyzes streaming audio (such as a radio broadcast) in overlapping, 3-second samples. Each sample is labeled into groups such as “song,” “talk,” “commercial” and “transition.” Based on the location of the transition samples, an exact second a given song begins and ends in the audio stream is derivable. The model further identifies when two songs shift between one another.

Abstract: Disclosed herein is a music service that enables consumers listen to a broadcast radio station without commercials. The service operates by shifting the source channel of a radio from the broadcast radio to a streaming audio service for the duration of the commercial. In some embodiments, the service utilizes any of: a radio including native firmware/software, a mobile device such as a smart phone executing an application, cooperative integration of a radio and a mobile device, or master/slave relationship between a mobile device and a radio. The mobile device listens to the radio broadcast and determines when to shift between the radio broadcast and the streaming audio via any of audio fingerprint analysis, radio station behavioral analysis, radio station metadata, and/or radio station voice recognition analysis.

Abstract: Disclosed herein is a music service that enables consumers listen to a broadcast radio station without commercials. The service operates by shifting the source channel of a radio from the broadcast radio to a streaming audio service for the duration of the commercial. In some embodiments, the service utilizes any of: a radio including native firmware/software, a mobile device such as a smart phone executing an application, cooperative integration of a radio and a mobile device, or master/slave relationship between a mobile device and a radio. The mobile device listens to the radio broadcast and determines when to shift between the radio broadcast and the streaming audio via any of audio fingerprint analysis, radio station behavioral analysis, radio station metadata, and/or radio station voice recognition analysis.

Abstract: Disclosed herein is a music service that enables consumers listen to a broadcast radio station without commercials. The service operates by shifting the source channel of a radio from the broadcast radio to a streaming audio service for the duration of the commercial. In some embodiments, the service utilizes any of: a radio including native firmware/software, a mobile device such as a smart phone executing an application, cooperative integration of a radio and a mobile device, or master/slave relationship between a mobile device and a radio. The mobile device listens to the radio broadcast and determines when to shift between the radio broadcast and the streaming audio via any of audio fingerprint analysis, radio station behavioral analysis, radio station metadata, and/or radio station voice recognition analysis.

Abstract: Disclosed herein is a music service that enables consumers listen to a broadcast radio station without commercials. The service operates by shifting the source channel of a radio from the broadcast radio to a streaming audio service for the duration of the commercial. In some embodiments, the service utilizes any of: a radio including native firmware/software, a mobile device such as a smart phone executing an application, cooperative integration of a radio and a mobile device, or master/slave relationship between a mobile device and a radio. The mobile device listens to the radio broadcast and determines when to shift between the radio broadcast and the streaming audio via any of audio fingerprint analysis, radio station behavioral analysis, radio station metadata, and/or radio station voice recognition analysis.

Abstract: Generally, the systems and methods presented herein provide for enhanced gaming during a game of chance. For example, the utility may provide the player with the opportunity to make a more educated decision when wagering sums of money in the game of chance. In this regard, the utility may observe a player's game elements (e.g., playing cards) and determine a “best strategy” for the player to employ on subsequent cards. In other words, the utility may show the player the best achievable hand that could be attained based on the player's present hand and any other visible cards that have been dealt. Accordingly, the utility may enable the player to play perfectly (e.g., to obtain the highest expected value payout).