Abstract: Embodiments of the present disclosure set forth a computer-implemented technique for providing a personalized audio signal to a user. The technique includes determining a first mood of the user based on a first set of user parameters, selecting, based on the first mood of the user, a first acoustic profile. The first acoustic profile may include a first set of acoustic parameters, and causing an audio output device to reproduce a first input audio signal based on the first set of acoustic parameters.

Abstract: Embodiments of the present disclosure set forth a computer-implemented technique for providing a personalized audio signal to a user. The technique includes determining a first mood of the user based on a first set of user parameters, selecting, based on the first mood of the user, a first acoustic profile. The first acoustic profile may include a first set of acoustic parameters, and causing an audio output device to reproduce a first input audio signal based on the first set of acoustic parameters.

Abstract: The present invention provides a system and/or method that facilitates programming within Common Language Runtime (CLR) for a C++ programmer by employing a mixed type. An inheritance component creates the mixed type from received code such that the mixed class type is allocated into memory into a pure native part and a pure managed part. Furthermore, construction, destruction and function calls for mixed types are provided facilitating programming within Common Language Runtime (CLR).

Abstract: The present invention provides a system and/or method that facilitates expanding keywords within an existing computer programming language by employing a whitespace keyword containing embedded whitespace. A whitespace component can receive code, and create a whitespace keyword based at least upon a successive comparison of adjacent tokens. The whitespace component creates a whitespace keyword by replacing more than one token with a single token containing embedded whitespace. Moreover, the whitespace component can utilize a lexical analyzer to group code into tokens and a parser component to parse the code.