Method and apparatus for obtaining audio corresponding to a plurality of images, based on semantic information and the emotion information of the plurality of images.

Methods, systems, and apparatus for monitoring a sound are described. An audio signal is obtained and the audio signal is analyzed to generate an audio signature. An object type is identified based on the audio signature and an action corresponding to the object type is identified.

Methods, systems, and apparatus for monitoring a sound are described. An audio signal is obtained and the audio signal is analyzed to generate an audio signature. An object type is identified based on the audio signature and an action corresponding to the object type is identified.

A system for voice recognition in autonomous flight of an electric aircraft that includes a computing device communicatively connected to the electric aircraft configured to receive at least a voice datum from a remote device, wherein the voice datum is configured to include at least an expression datum, generate, using a first machine-learning process, a transcription datum as a function of the at least a voice datum, extract at least a query as a function of the transcription datum, generate, using a second machine-learning process, a communication output as a function of the at least a query, and adjust a flight plan as a function of the communication output.

A system for voice recognition in autonomous flight of an electric aircraft that includes a computing device communicatively connected to the electric aircraft configured to receive at least a voice datum from a remote device, wherein the voice datum is configured to include at least an expression datum, generate, using a first machine-learning process, a transcription datum as a function of the at least a voice datum, extract at least a query as a function of the transcription datum, generate, using a second machine-learning process, a communication output as a function of the at least a query, and adjust a flight plan as a function of the communication output.

According to an embodiment, there is provided a system and method for automatic AI-based song construction based on ideas of a user. It provides and benefits from a combination of expert knowledge resident in an expert engine which contains rules for a musically correct song generation and machine learning in an AI-based audio loop selection engine for the selection of fitting audio loops from a database of audio loops.

According to an embodiment, there is provided a system and method for automatic AI-based song construction based on ideas of a user. It provides and benefits from a combination of expert knowledge resident in an expert engine which contains rules for a musically correct song generation and machine learning in an AI-based audio loop selection engine for the selection of fitting audio loops from a database of audio loops.

A music production system comprises: a computer interface comprising at least one input for receiving an external request for a piece of music and at least one output for transmitting a response to the external request which comprises or indicates a piece of music incorporating first music data; a first music production component configured to process second music data according to at least a first input setting so as to generate the first music data; a second music production component configured to receive via the computer interface an internal request, and provide the second music data based on at least a second input setting denoted by the internal request; and a controller configured to determine in response to the external request the first and second input settings, and instigate the internal request via the computer interface.

A process for recognizing and responding to a detected audio inquiry by gathering information distributed amongst users and providing a calculated result includes monitoring audio communications and detecting an audio inquiry from a first electronic communication device. It is determined then the audio inquiry is of a distributed information gathering and mathematical operation type and, in response, a plurality of target electronic communication devices that are capable of providing partial answers to the audio inquiry are identified and a request for a partial answer transmitted to each. Corresponding partial answers are received and a mathematical operation performed on the partial answers to generate a final answer to the audio inquiry different from the corresponding partial answers. The final answer is then provided to the first electronic communication device.

A process for recognizing and responding to a detected audio inquiry by gathering information distributed amongst users and providing a calculated result includes monitoring audio communications and detecting an audio inquiry from a first electronic communication device. It is determined then the audio inquiry is of a distributed information gathering and mathematical operation type and, in response, a plurality of target electronic communication devices that are capable of providing partial answers to the audio inquiry are identified and a request for a partial answer transmitted to each. Corresponding partial answers are received and a mathematical operation performed on the partial answers to generate a final answer to the audio inquiry different from the corresponding partial answers. The final answer is then provided to the first electronic communication device.