Spatial Audio Selection System for Efficient File Identification
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Solution Overview
Problem
Existing audio selection methods rely on metadata or visual information, which can be limited, especially in applications like voice files and VoIP, making it difficult for users to identify desired audio items from large collections without manually playing and identifying each file.
Innovation Solution
A system and method that generates spatially distinguishable audio from each item in a collection, allowing users to select desired audio by perceiving differences in audio source positions and arrival directions, eliminating the need for metadata-based identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If metadata information is used for audio identification, then information presentation efficiency is improved, but identification accuracy deteriorates when metadata is limited or cryptic
Solution Approach 1:
The patent introduces spatial audio positioning as an intermediary mechanism between the audio files and the user. Instead of directly relying on metadata for identification, the system uses spatial characteristics (direction, position) as a mediator that enables users to distinguish and identify audio sources accurately even when metadata is limited or cryptic.
Solution Approach 2:
The patent replaces the mechanical/information-based system of metadata reading and interpretation with an acoustic/physical system of spatial audio positioning. Users identify audio not by reading text metadata but by perceiving the physical spatial characteristics of sound waves, substituting information processing with sensory perception.
2Ease of operation
If users view and search metadata to identify audio, then selection process is systematic, but time consumption increases due to file-by-file evaluation
Solution Approach 1:
The patent merges multiple audio files into a single spatial audio output where all audio sources are simultaneously present with distinct spatial characteristics. Instead of evaluating files sequentially, the system combines them in space, allowing users to perceive and identify multiple audio sources at once, dramatically reducing identification time.
Solution Approach 2:
The patent adds a spatial dimension to audio identification. Rather than searching through metadata in a two-dimensional interface (screen display), the system distributes audio sources across a three-dimensional spatial field, enabling users to locate desired audio through spatial perception rather than linear searching.
3Measurement precision
If spatially distinguishable audio is generated from multiple items, then audio differentiation capability is improved, but system complexity increases
Solution Approach 1:
The patent segments the audio processing system into distinct functional components: an audio output device that generates spatially separated audio signals, and a user interface that receives directional input. This segmentation allows complex spatial audio processing to be achieved through coordinated simple components rather than a single complex system.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables rapid and efficient selection of desired audio items by allowing users to listen to and differentiate audio from multiple items simultaneously, reducing the reliance on limited metadata and improving identification speed and accuracy.
Implementation Method 1
generating sound waves corresponding to the audio data items. The sound waves are directed to have different arrival directions
Implementation Method 2
phase-shifting the audio data so that the sound waves have spatial characteristics, such as perceived source position and/or arrival direction, that are different than what they would otherwise have but for the phase-shifting
Data Source
AI summary
Audio item(s) that may be of interest to a user can be selected from a larger collection of audio items. The audio items of interest may be identified by concurrently generating audio from each item in the collection. The audio generated from individual items in the collection may be generated such that the audio is audibly and selectably differentiable from the audio generated from other items in the collection. A user-input may be detected that corresponds to a selection of a subset of the audio items. A user-input may be detected that modifies characteristics of the audio presentation in space and/or volume. A correlation between the input and the selected audio may be made through characteristics that are incorporated into the selected audio when that audio is made distinguishable.