HRTF Sound Localization for Remote Conference Audio Clarity
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Solution Overview
Problem
In remote conferences, it is difficult for participants to distinguish between multiple speakers' voices and feel a realistic sense of presence due to the lack of sound image localization, resulting in a flat audio experience.
Innovation Solution
An information processing device and method that utilizes HRTF data to perform sound image localization, allowing participants to perceive voices as originating from specific positions in a virtual space, enhancing the sense of presence and clarity in multi-speaker scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If voice data is transmitted and output in a planar manner without sound image localization, then the system is simple and easy to implement, but participants cannot feel a realistic sense of presence or distinguish sound directions
Solution Approach 1:
The patent introduces HRTF data as an intermediary element that mediates between the transmitted voice data and the final sound output. The HRTF data acts as a transfer function that transforms plain voice signals into spatially localized sound images, enabling participants to perceive realistic sound directions and positions without fundamentally changing the communication system architecture
Solution Approach 2:
The patent applies parameter changes by modifying the acoustic parameters of voice data through HRTF processing. By changing parameters such as interaural time difference, interaural level difference, and spectral characteristics based on head-related transfer functions, the system creates realistic sound images at different positions in virtual space, enhancing the sense of presence
2Loss of information
If multiple participants speak at the same time with planar voice output, then all voices can be transmitted, but participants cannot distinguish between different speakers
Solution Approach 1:
The patent segments the mixed audio signal by utilizing spatial information. Each participant's voice is assigned a specific position in virtual space, and HRTF processing is applied individually to each speaker's voice data based on their position. This segmentation allows listeners to distinguish between multiple speakers even when they speak simultaneously, as each voice originates from a different spatial location
Solution Approach 2:
Position information serves as an intermediary that links multiple speakers to their respective sound images. By introducing position data as an additional parameter, the system can differentiate between speakers and apply appropriate HRTF processing to each, enabling clear speaker identification in multi-speaker scenarios
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
The solution effectively localizes sound data based on participants' positions, enabling clear differentiation between multiple speakers' voices and creating a more realistic and immersive conversation experience.
Implementation Method 1
a sound image localization processing unit that performs a sound image localization process based on the HRTF data corresponding to a position, in a virtual space, of a participant participating in a conversation via a network and sound data of the participant
Data Source
AI summary
An information processing device according to an aspect of the present technology includes a storage unit that stores HRTF data corresponding to a plurality of positions based on a listening position, and a sound image localization processing unit that performs a sound image localization process based on the HRTF data corresponding to a position, in a virtual space, of a participant participating in a conversation via a network and sound data of the participant. The present technology can be applied to a computer that performs remote conference.