encoding a scaled spatial component

By combining spatial audio coding and psychoacoustic audio coding technologies to identify the foreground and background components of stereo reverberation audio data, the problem of low coding efficiency in existing technologies is solved, and more efficient audio data compression and transmission are achieved.

CN114008704BActive Publication Date: 2025-10-10QUALCOMM INC
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Patent Information

Application Number
CN202080044605.4
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Priority Date
2020-06-22
Filing Date
2020-06-23
Publication Date
2025-10-10
Estimated Expiration
2040-06-23

AI Technical Summary

Technical Problem

Existing psychoacoustic audio coding technologies have difficulty in effectively utilizing the masking effect of the human auditory system for efficient compression when processing ambisonic reverberation audio data, resulting in low coding efficiency.

Method used

A method combining spatial audio coding and psychoacoustic audio coding is adopted. The foreground and background components of the stereo reverberation coefficients are identified by a spatial audio coding device, and bit allocation and quantization are performed based on the psychoacoustic model to generate an efficient bit stream.

Benefits of technology

Improves the encoding efficiency of ambisonic audio data, reducing data transmission and storage requirements while maintaining audio quality.

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Abstract

Generally, techniques by which a scaled spatial component is encoded are described. A device including a memory and one or more processors can be configured to perform the techniques. The memory can store a bitstream including an encoded foreground audio signal and a corresponding quantized spatial component. The one or more processors can perform psychoacoustic audio decoding with respect to the encoded foreground audio signal to obtain a foreground audio signal, and determine a bit allocation to the encoded foreground audio signal when performing the psychoacoustic audio decoding. The one or more processors can dequantize the quantized spatial component to obtain a scaled spatial component, and de-scale the scaled spatial component based on the bit allocation to obtain a spatial component. The one or more processors can reconstruct scene-based audio data based on the foreground audio signal and the spatial component.
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