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Trellis Based Approach for Joint Optimization of Window Switching Decisions and Bit Resource Allocation

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The fact that audio compression for streaming or storage is usually performed offline alleviates traditional constraints on encoding delay. We propose a rate-distortion optimized approach, within the MPEG Advanced Audio Coding framework, to trade delay for optimal window switching and resource allocation across frames. A trellis is constructed where stages correspond to audio frames, nodes represent window choices, and branches implement transition constraints. A suitable cost, comprising bit consumption and psycho-acoustic distortion, is optimized via multiple passes through the trellis until the desired bit-rate is achieved. The procedure offers optimal window switching as well as better bit distribution than conventional bit-reservoir schemes that are restricted to only ``borrow' bits from past frames. Objective and subjective tests show considerable performance gains.

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AES - Audio Engineering Society