Abstract: One embodiment of the present invention sets forth a technique for processing requests. The technique includes retrieving, from one or more data sources, a plurality of reservations and a plurality of available rooms associated with a first time frame, and generating a set of valid assignments of one or more available rooms to each reservation. The technique also includes generating, based on (i) the sets of valid assignments for the plurality of reservations and (ii) a plurality of matching objectives, a plurality of initial assignments of at least a portion of the available rooms to the plurality of reservations. The technique further includes performing a check-in process for a first reservation based on the plurality of initial assignments.

Abstract: Some implementations of the disclosure relate to a non-transitory computer-readable medium having executable instructions stored thereon that, when executed by a processor, cause a system to perform operations comprising: obtaining a first energy-based target for audio; obtaining a first version of a sound mix including one or more audio components; computing, for each audio frame of multiple audio frames of each of the one or more audio components, a first audio feature measurement value; optimizing, based at least on the first energy-based target and the first audio feature measurement values, gain values of the audio frames; and after optimizing the gain values, applying the gain values to the first version of sound mix to obtain a second version of the sound mix.

Abstract: Techniques are disclosed for centrally managing remote storage encryption and decryption. In some embodiments, to access an encrypted volume on a storage device connected to a computing device, a virtual private network (VPN) client authenticates a user of the computing device to a VPN. After authenticating the user and establishing a VPN connection, the VPN client launches a key management system (KMS) client that authenticates the user and requests an encryption key from a KMS server based on the user, a volume identifier (ID) of the encrypted volume, and a storage device ID of the storage device. The KMS server verifies that the user is allowed to access the encrypted volume having the volume ID, and that the encrypted volume is stored on the storage device having the storage device ID. Upon verification, the KMS server transmits the encryption key to the KMS client for decrypting the encrypted volume.

Abstract: Some implementations of the disclosure relate to a non-transitory computer-readable medium having executable instructions stored thereon that, when executed by a processor, cause a system to perform operations comprising: obtaining a first energy-based target for audio; obtaining a first version of a sound mix including one or more audio components; computing, for each audio frame of multiple audio frames of each of the one or more audio components, a first audio feature measurement value; optimizing, based at least on the first energy-based target and the first audio feature measurement values, gain values of the audio frames; and after optimizing the gain values, applying the gain values to the first version of sound mix to obtain a second version of the sound mix.

Abstract: Some implementations of the disclosure relate to a method, comprising: obtaining, at a computing device, first video clip data including multiple sequential video frames, the multiple sequential video frames including at least a first video frame and a second video frame that occurs after the first video frame; inputting, at the computing device, the first video clip data into at least one trained model that automatically predicts, based on at least features of the first video frame and features of the second video frame, sound effect data corresponding to the second video frame; and determining, at the computing device, based on the sound effect data predicted for the second video frame, a first sound effect file corresponding to the second video frame.

Abstract: Some implementations of the disclosure relate to a method, comprising: obtaining, at a computing device, first video clip data including multiple sequential video frames, the multiple sequential video frames including at least a first video frame and a second video frame that occurs after the first video frame; inputting, at the computing device, the first video clip data into at least one trained model that automatically predicts, based on at least features of the first video frame and features of the second video frame, sound effect data corresponding to the second video frame; and determining, at the computing device, based on the sound effect data predicted for the second video frame, a first sound effect file corresponding to the second video frame.

Abstract: Some implementations of the disclosure relate to using a model trained on mixing console data of sound mixes to automate the process of sound mix creation. In one implementation, a non-transitory computer-readable medium has executable instructions stored thereon that, when executed by a processor, causes the processor to perform operations comprising: obtaining a first version of a sound mix; extracting first audio features from the first version of the sound mix obtaining mixing metadata; automatically calculating with a trained model, using at least the mixing metadata and the first audio features, mixing console features; and deriving a second version of the sound mix using at least the mixing console features calculated by the trained model.

Abstract: Some implementations of the disclosure relate to using a model trained on mixing console data of sound mixes to automate the process of sound mix creation. In one implementation, a non-transitory computer-readable medium has executable instructions stored thereon that, when executed by a processor, causes the processor to perform operations comprising: obtaining a first version of a sound mix; extracting first audio features from the first version of the sound mix obtaining mixing metadata; automatically calculating with a trained model, using at least the mixing metadata and the first audio features, mixing console features; and deriving a second version of the sound mix using at least the mixing console features calculated by the trained model.

Abstract: Implementations of the disclosure describe systems and methods that leverage machine learning to automate the process of creating music and effects mixes from original sound mixes including domestic dialogue. In some implementations, a method includes: receiving a sound mix including human dialogue; extracting metadata from the sound mix, where the extracted metadata categorizes the sound mix; extracting content feature data from the sound mix, the extracted content feature data including an identification of the human dialogue and instances or times the human dialogue occurs within the sound mix; automatically calculating, with a trained model, content feature data of a music and effects (M&E) sound mix using at least the extracted metadata and the extracted content feature data of the sound mix; and deriving the M&E sound mix using at least the calculated content feature data.

Abstract: Implementations of the disclosure describe systems and methods that leverage machine learning to automate the process of creating music and effects mixes from original sound mixes including domestic dialogue. In some implementations, a method includes: receiving a sound mix including human dialogue; extracting metadata from the sound mix, where the extracted metadata categorizes the sound mix; extracting content feature data from the sound mix, the extracted content feature data including an identification of the human dialogue and instances or times the human dialogue occurs within the sound mix; automatically calculating, with a trained model, content feature data of a music and effects (M&E) sound mix using at least the extracted metadata and the extracted content feature data of the sound mix; and deriving the M&E sound mix using at least the calculated content feature data.

Abstract: Implementations of the disclosure describe systems and methods that leverage machine learning to automate the process of creating various versions of sound mixes using an original sound mix as a starting point. In implementations, a system for automated versioning of sound mixes may include: (i) a component to extract metadata categorizing/identifying the input sound mix; (ii) a component to extract audio features of the input sound mix; (iii) a component that uses a machine learning model to compare the extracted audio features of the input sound mix with extracted audio features of previously analyzed sound mixes to calculate audio features of a target sound mix; and (iv) a component to perform signal processing to derive the target sound mix given the calculated audio features.

Abstract: A method of communicating multimedia data includes establishing a first connection between a transmitter unit and an administration server, establishing a second connection between a receiver unit and the administration server, assigning a same unique communication channel to the transmitter unit and the receiver unit by the administration server, establishing a third connection between the transmitter unit and the receiver unit using the same unique communication channel upon the first and second connections being established, and transmitting the multimedia data from the transmitter unit to the receiver unit via the third connection. The transmitter and receiver units respectively have unique identification codes that uniquely identify the units from other units connected to the administration server. The communication channel is assigned using the unique identification codes.

Abstract: A method of communicating multimedia data includes establishing a first connection between a transmitter unit and an administration server, establishing a second connection between a receiver unit and the administration server, assigning a same unique communication channel to the transmitter unit and the receiver unit by the administration server, establishing a third connection between the transmitter unit and the receiver unit using the same unique communication channel upon the first and second connections being established, and transmitting the multimedia data from the transmitter unit to the receiver unit via the third connection. The transmitter and receiver units respectively have unique identification codes that uniquely identify the units from other units connected to the administration server. The communication channel is assigned using the unique identification codes.

Abstract: A portable electronic device holder allows for quick mounting and telescoping of a cell phone or smart phone to enable a convenient recording of a selfie image. The device holder has a clamp section having a fixed thirty degree orientation relative to a telescoping handle section. The fixed angle reduces mounting complexity of the device as well as enhancing portability of the device holder. The clamp section also has a hinge that reduces the size of the clamp section when not in use, thereby further enhancing the portability of the device holder. The telescoping handle has an elliptical shape and or a groove that increases strength and durability, as well as enabling a secure holding of the device holder in operation while facilitating a natural horizontal orientation of the camera for recording of the selfie.

Abstract: A method of communicating multimedia data includes establishing a first connection between a transmitter unit and an administration server, establishing a second connection between a receiver unit and the administration server, assigning a same unique communication channel to the transmitter unit and the receiver unit by the administration server, establishing a third connection between the transmitter unit and the receiver unit using the same unique communication channel upon the first and second connections being established, and transmitting the multimedia data from the transmitter unit to the receiver unit via the third connection. The transmitter and receiver units respectively have unique identification codes that uniquely identify the units from other units connected to the administration server. The communication channel is assigned using the unique identification codes.

Abstract: The present invention provides a system in which audio files are distributed that include watermarks, digital signatures and/or encryption. The file may offer content owners some amount of playback control, while offering the consumer value-added content & services, and maintaining backward compatibility to existing digital file players such as MP3 players. By enticing the consumer with value-added content and services alongside the purchased songs, the consumer is encouraged to obtain these files from participating retailers and to replay the files using compliant players.

Abstract: An improved ultra-high fiber supplement that promotes satiety, caloric reduction, and weight loss. The supplement comprises guar, oat, psyllium, locust bean gum, pectin, green tea, multi-anthocyanadins, pyridoxine, and folic acid. It improves cardiovascular health and reduces cardiovascular inflammation and the risk of heart disease. The addition of antioxidants, including green tea, improves weight loss, and general and cardiovascular health. Also it reduces serum lipoprotein oxidation and risk of free-radical related diseases. Additional benefits include the lowering of plasma homocysteine by the addition of folic acid and pyridoxine. Consumption of the supplement aids in reducing absorption and assimilation of ingested toxins. A method of providing an ultra-high fiber comestible that is highly palatable and can be used to supplement nutrition and to manage and prevent diet-related diseases is disclosed.

Abstract: An audio effects processing system and method performs audio effects processing on a subband-by-subband basis using less memory and computational resources than audio effects produced through post processing of a fullband audio signal. The input fullband audio signal is split into subbands and the compressed subbands may be stored in memory of the system as compressed audio subband data or may be generated by real time processing of a fullband audio signal. The system stores in memory a set of prototype subband effects filters, the set including echo, flange, chorus, and reverberation effects filters. A subband filter customization procedure allows a sound system designer to build customized versions of the prototype subband effects filters. One or more of the customized subband effects filters are applied to one or more of the subbands comprising the compressed audio subband data.