Abstract: A data processing device includes: a digital signal processor; at least one processor; and at least one memory device configured to store a plurality of instructions, which when executed by the at least one processor, cause the at least one processor to operate to: output a first determination result relating to a scene of content through use of sound data; select processing for the sound data by a first selection method based on the first determination result; determine an attribute of the content from among a plurality of attribute candidates; and select the processing by a second selection method, which is different from the first selection method, based on a determination result of the attribute, wherein the digital signal processor is configured to execute the processing selected by the at least one processor on the sound data.

Abstract: A data processing device includes: a digital signal processor; at least one processor; and at least one memory device configured to store a plurality of instructions, which when executed by the at least one processor, cause the at least one processor to operate to: output a first determination result relating to a scene of content through use of sound data; select processing for the sound data by a first selection method based on the first determination result; determine an attribute of the content from among a plurality of attribute candidates; and select the processing by a second selection method, which is different from the first selection method, based on a determination result of the attribute, wherein the digital signal processor is configured to execute the processing selected by the at least one processor on the sound data.

Abstract: An apparatus that identifies a scene type includes at least one processor and a memory. The memory is operatively coupled to the at least one processor and is configured to store instructions executable by the processor. Upon execution of the instructions, the processor is caused to identify a scene type of content that includes video and audio based on a feature amount of the audio in the content.

Abstract: An acoustic processing device including a memory storing instructions and a processor that implements the stored instructions to execute a plurality of tasks, the tasks including: an analyzing task that analyzes an input signal; a determining task that determines an acoustic effect to be applied to the input signal, from among a first acoustic effect of virtual surround and a second acoustic effect of virtual surround different from the first acoustic effect, based on a result of the analyzing task; and an acoustic effect applying task that applies the acoustic effect determined by the determining task to the input signal.

Abstract: An apparatus that identifies a scene type includes at least one processor and a memory. The memory is operatively coupled to the at least one processor and is configured to store instructions executable by the processor. Upon execution of the instructions, the processor is caused to identify a scene type of content that includes video and audio based on a feature amount of the audio in the content.

Abstract: An apparatus that identifies a scene type includes at least one processor and a memory. The memory is operatively coupled to the at least one processor and is configured to store instructions executable by the processor. Upon execution of the instructions, the processor is caused to identify a scene type of content that includes video and audio based on a feature amount of the audio in the content.

Abstract: A data processing device includes: a digital signal processor; at least one processor; and at least one memory device configured to store a plurality of instructions, which when executed by the at least one processor, cause the at least one processor to operate to: output a first determination result relating to a scene of content through use of sound data; select processing for the sound data by a first selection method based on the first determination result; determine an attribute of the content from among a plurality of attribute candidates; and select the processing by a second selection method, which is different from the first selection method, based on a determination result of the attribute, wherein the digital signal processor is configured to execute the processing selected by the at least one processor on the sound data.

Abstract: An apparatus for generating relations between feature amounts of audio and scene type includes at least one processor and a memory. The memory is operatively coupled to the at least one processor. The processor is configured to set one of the scene types to each of clusters classifying the feature amounts of audio in one or more pieces of content. The processor is also configured to generate a plurality of pieces of learning data, each representative of a feature amount, from among the feature amounts of the audio, that belongs to each cluster and the scene type set for each cluster. The processor is also configured to generate an identification model representative of relations between the feature amounts of audio and the scene types by performing machine learning using the plurality of pieces of learning data.

Abstract: A data processing device includes: a digital signal processor; at least one processor; and at least one memory device configured to store a plurality of instructions, which when executed by the at least one processor, cause the at least one processor to operate to: output a first determination result relating to a scene of content through use of sound data; select processing for the sound data by a first selection method based on the first determination result; determine an attribute of the content from among a plurality of attribute candidates; and select the processing by a second selection method, which is different from the first selection method, based on a determination result of the attribute, wherein the digital signal processor is configured to execute the processing selected by the at least one processor on the sound data.

Abstract: An acoustic processing device including a memory storing instructions and a processor that implements the stored instructions to execute a plurality of tasks, the tasks including: an analyzing task that analyzes an input signal; a determining task that determines an acoustic effect to be applied to the input signal, from among a first acoustic effect of virtual surround and a second acoustic effect of virtual surround different from the first acoustic effect, based on a result of the analyzing task; and an acoustic effect applying task that applies the acoustic effect determined by the determining task to the input signal.

Abstract: An audio data processing device according to an aspect of the present disclosure includes: a sound field effect data generator configured to add sound field effect data to audio data by arithmetic operation processing using a parameter, at least one processor, and at least one memory device that stores a plurality of instructions, which when executed by the at least one processor, causes the at least one processor to operate to: analyze a scene for the audio data, recognize switching of the scene based on an analysis result of the scene, gradually decrease both an input gain and an output gain of the sound field effect data generator, and gradually increase both the input gain and the output gain after changing the parameter.

Abstract: An apparatus for generating relations between feature amounts of audio and scene type includes at least one processor and a memory. The memory is operatively coupled to the at least one processor. The processor is configured to set one of the scene types to each of clusters classifying the feature amounts of audio in one or more pieces of content. The processor is also configured to generate a plurality of pieces of learning data, each representative of a feature amount, from among the feature amounts of the audio, that belongs to each cluster and the scene type set for each cluster. The processor is also configured to generate an identification model representative of relations between the feature amounts of audio and the scene types by performing machine learning using the plurality of pieces of learning data.

Abstract: An apparatus for generating relations between feature amounts of audio and scene types includes at least one processor and a memory. Upon execution of the instructions the processor is caused to set one of the scene types in accordance with an instruction from a user to indicate one of clusters classifying the feature amounts of audio in one or more pieces of content. The processor is also caused to generate a plurality of pieces of learning data, each representative of a feature amount, from among the feature amounts, that belongs to the cluster and the scene type set for the cluster. The processor is also caused to generate an identification model representative of relations between the feature amounts of audio and the scene types by performing machine learning using the plurality of pieces of learning data.

Abstract: An apparatus for generating relations between feature amounts of audio and scene types includes at least one processor and a memory. Upon execution of the instructions the processor is caused to set one of the scene types in accordance with an instruction from a user to indicate one of clusters classifying the feature amounts of audio in one or more pieces of content. The processor is also caused to generate a plurality of pieces of learning data, each representative of a feature amount, from among the feature amounts, that belongs to the cluster and the scene type set for the cluster. The processor is also caused to generate an identification model representative of relations between the feature amounts of audio and the scene types by performing machine learning using the plurality of pieces of learning data.

Abstract: An information processing apparatus includes a processor that performs a separate process to separate a content signal into a primary component which is an objective sound and a secondary component which is other than the objective sound, a speaker that outputs the primary component, and a transmitter that transmits the secondary component to another apparatus.

Abstract: An apparatus that identifies a scene type includes at least one processor and a memory. The memory is operatively coupled to the at least one processor and is configured to store instructions executable by the processor. Upon execution of the instructions, the processor is caused to identify a scene type of content that includes video and audio based on a feature amount of the audio in the content.

Abstract: An apparatus for generating relations between feature amounts of audio and scene types includes at least one processor and a memory. Upon execution of the instructions the processor is caused to set one of the scene types in accordance with an instruction from a user to indicate one of clusters classifying the feature amounts of audio in one or more pieces of content. The processor is also caused to generate a plurality of pieces of learning data, each representative of a feature amount, from among the feature amounts, that belongs to the cluster and the scene type set for the cluster. The processor is also caused to generate an identification model representative of relations between the feature amounts of audio and the scene types by performing machine learning using the plurality of pieces of learning data.

Abstract: A data processing device includes: a digital signal processor; at least one processor; and at least one memory device configured to store a plurality of instructions, which when executed by the at least one processor, cause the at least one processor to operate to: output a first determination result relating to a scene of content through use of sound data; select processing for the sound data by a first selection method based on the first determination result; determine an attribute of the content from among a plurality of attribute candidates; and select the processing by a second selection method, which is different from the first selection method, based on a determination result of the attribute, wherein the digital signal processor is configured to execute the processing selected by the at least one processor on the sound data.

Abstract: An information processing apparatus includes a processor that performs a separate process to separate a content signal into a primary component which is an objective sound and a secondary component which is other than the objective sound, a speaker that outputs the primary component, and a transmitter that transmits the secondary component to another apparatus.

Abstract: An audio data processing device according to an aspect of the present disclosure includes: a sound field effect data generator configured to add sound field effect data to audio data by arithmetic operation processing using a parameter, at least one processor, and at least one memory device that stores a plurality of instructions, which when executed by the at least one processor, causes the at least one processor to operate to: analyze a scene for the audio data, recognize switching of the scene based on an analysis result of the scene, gradually decrease both an input gain and an output gain of the sound field effect data generator, and gradually increase both the input gain and the output gain after changing the parameter.