Abstract: Game consoles utilize streamed content over a data network, such as multiplayer scenarios where disparately located players may interact with one another. Streamed interactions may be competing with other computing devices and associated software applications running in parallel. Such a competition for available bandwidth within may result in data congestion, which may in turn cause perceivable delays and/or jitter. However, some types of data are more susceptible to perceivable delays and/or jitter than other types of data. The presently disclosed technology distinguishes between types of streamed data content and tags the streamed data content according to a QoS metric. QoS packet tagging indicates a priority to handling the data within nodes and links of a data network. Further, the presently disclosed technology permits user configurable tagging settings that allow the user to customize tagging specific to their network environment.

Abstract: A system and method that quantifies a sound into dynamic pitch-based graphs that correlate to the pitch frequencies of the sound. The system records a sound, such as musical notes. A pitch detection algorithm identifies and quantifies the pitch frequencies of the notes. The algorithm analyzes the pitch frequencies, and graphically displays the pitch frequency and notes in real time as fluctuating circles, rectangular bars, and lines that represent variances in pitch. The algorithm comprises a modified Type 2 Normalized Square Difference Function that transforms the musical notes into the pitch frequencies. The Type 2 Normalized Square Difference Function analyzes the peaks of the pitch frequency to arrive at a precise pitch frequency, such as 440 Hertz. A Lagrangian interpolation enables comparative analysis and teaching of the pitches and notes. The algorithm also performs transformations and heuristic comparisons to generate the real time graphical representation of the pitch frequency.

Abstract: A system and method that quantifies a sound into dynamic pitch-based graphs that correlate to the pitch frequencies of the sound. The system records a sound, such as musical notes. A pitch detection algorithm identifies and quantifies the pitch frequencies of the notes. The algorithm analyzes the pitch frequencies, and graphically displays the pitch frequency and notes in real time as fluctuating circles, rectangular bars, and lines that represent variances in pitch. The algorithm comprises a modified Type 2 Normalized Square Difference Function that transforms the musical notes into the pitch frequencies. The Type 2 Normalized Square Difference Function analyzes the peaks of the pitch frequency to arrive at a precise pitch frequency, such as 440 Hertz. A Lagrangian interpolation enables comparative analysis and teaching of the pitches and notes. The algorithm also performs transformations and heuristic comparisons to generate the real time graphical representation of the pitch frequency.