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mtmd: fix mel preprocessor in LFM2 audio (#29403) which resulted in different greedy transcripts for 4.5% of English and 6.5% of Japanese test utterances. In Japanese, some differences changed entire

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mtmd: fix mel preprocessor in LFM2 audio (#29403) which resulted in different greedy transcripts for 4.5% of English and 6.5% of Japanese test utterances. In Japanese, some differences changed entire words. This change: uses log(x + 2^-24) instead of clamping to the log floor uses a symmetric Hann window, equivalent to torch.hann_window(periodic=False) adds the normalization epsilon to the standard deviation instead of inside the square root Only the lfm2a preprocessor opts into these behaviors. Other audio preprocessors are unchanged. Tested on top of 84e76d8 using llama-server with CUDA and temperature=0, compared against http://github.com/Liquid4All/liquid-audio fp32. Test set: 200 LibriSpeech test-clean utterances (EN) 200 Common Voice ja test utterances (JP) identical 16 kHz audio passed to both implementations Greedy transcript identical to liquid-audio Without fix With fix EN F16 191/200 200/200 JP F32 187/200 200/200 JP F16 187/200 199/200 The remaining JP F16 difference is a comma and matches the reference implementation's own bf16 output. Mel relative L2 error versus liquid-audio: EN: 3.2% -> ~2e-6 median JP: 3.9% -> ~2e-6 median Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/50286582 macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silicon (arm64, KleidiAI enabled) DISABLED macOS Intel (x64) iOS XCFramework Linux: Ubuntu x64 (CPU) Ubuntu arm64 (CPU) Ubuntu s390x (CPU) Ubuntu x64 (Vulkan) Ubuntu arm64 (Vulkan) Ubuntu x64 (CUDA 12) - CUDA 12.8 libraries Ubuntu x64 (CUDA 13) - CUDA 13.4 libraries Ubuntu arm64 (CUDA 13) - CUDA 13.4 libraries Ubuntu x64 (ROCm 10.0) Ubuntu x64 (OpenVINO) Ubuntu x64 (SYCL FP32) Ubuntu x64 (SYCL FP16) Linux arm64 (Snapdragon: CPU, Adreno GPU, Hexagon NPU) - setup guide Android: Android arm64 (CPU) Android arm64 (Snapdragon: CPU, Adreno GPU, Hexagon NPU) - setup guide Windows: Windows x64 (CPU) Windows arm64 (CPU) Windows arm64 (OpenCL Adreno) Windows x64 (CUDA 12) - CUDA 12.4 DLLs Windows x64 (CUDA 13) - CUDA 13.4 DLLs Windows arm64 (CUDA 13) - CUDA 13.4 DLLs Windows x64 (Vulkan) Windows x64 (OpenVINO) Windows x64 (SYCL) Windows x64 (ROCm 10.0) openEuler: DISABLED openEuler x86 (310p) openEuler x86 (910b, ACL Graph) openEuler aarch64 (310p) openEuler aarch64 (910b, ACL Graph) UI: UI

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Source: llama.cpp Releases | 2026-09-25

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