Fix the syntax in docs
This commit is contained in:
@@ -1,99 +1,99 @@
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name: Native builds
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on:
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workflow_dispatch:
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push:
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branches:
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- main
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tags:
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- "v*"
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permissions:
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contents: read
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jobs:
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build:
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name: ${{ matrix.asset }}
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runs-on: ${{ matrix.runner }}
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strategy:
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fail-fast: false
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matrix:
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include:
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- runner: windows-2022
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asset: windows-x64
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cmake_args: -A x64
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- runner: ubuntu-22.04
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asset: linux-x64
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cmake_args: ""
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- runner: macos-15-intel
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asset: macos-x64
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cmake_args: -DCMAKE_OSX_DEPLOYMENT_TARGET=12.0
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- runner: macos-15
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asset: macos-arm64
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cmake_args: -DCMAKE_OSX_DEPLOYMENT_TARGET=12.0
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steps:
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- name: Checkout
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uses: actions/checkout@v6
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- name: Configure
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run: >
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cmake
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-S native
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-B build/native
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-DCMAKE_BUILD_TYPE=Release
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-DCMAKE_INSTALL_PREFIX="${{ github.workspace }}/stage"
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${{ matrix.cmake_args }}
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- name: Build
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run: cmake --build build/native --config Release --parallel
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- name: Install
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run: cmake --install build/native --config Release
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- name: Package
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working-directory: stage
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run: >
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cmake -E tar
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cf "../JustOneCacophony-native-${{ matrix.asset }}.zip"
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--format=zip
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-- .
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- name: Upload workflow artifact
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uses: actions/upload-artifact@v4
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with:
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name: JustOneCacophony-native-${{ matrix.asset }}
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path: JustOneCacophony-native-${{ matrix.asset }}.zip
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if-no-files-found: error
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retention-days: 14
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release:
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name: Publish GitHub Release
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if: startsWith(github.ref, 'refs/tags/v')
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needs: build
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runs-on: ubuntu-24.04
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permissions:
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contents: write
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steps:
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- name: Download native packages
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uses: actions/download-artifact@v5
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with:
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pattern: JustOneCacophony-native-*
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path: dist
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merge-multiple: true
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- name: Create release
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run: >
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gh release create "$GITHUB_REF_NAME"
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dist/*.zip
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--verify-tag
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--generate-notes
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env:
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GH_TOKEN: ${{ github.token }}
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GH_REPO: ${{ github.repository }}
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name: Native builds
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on:
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workflow_dispatch:
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push:
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branches:
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- main
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tags:
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- "v*"
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permissions:
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contents: read
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jobs:
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build:
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name: ${{ matrix.asset }}
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runs-on: ${{ matrix.runner }}
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|
||||
strategy:
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fail-fast: false
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matrix:
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include:
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- runner: windows-2022
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asset: windows-x64
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cmake_args: -A x64
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- runner: ubuntu-22.04
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asset: linux-x64
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cmake_args: ""
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- runner: macos-15-intel
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asset: macos-x64
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cmake_args: -DCMAKE_OSX_DEPLOYMENT_TARGET=12.0
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- runner: macos-15
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asset: macos-arm64
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cmake_args: -DCMAKE_OSX_DEPLOYMENT_TARGET=12.0
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steps:
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- name: Checkout
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uses: actions/checkout@v6
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- name: Configure
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run: >
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cmake
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-S native
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-B build/native
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-DCMAKE_BUILD_TYPE=Release
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-DCMAKE_INSTALL_PREFIX="${{ github.workspace }}/stage"
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${{ matrix.cmake_args }}
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|
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- name: Build
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run: cmake --build build/native --config Release --parallel
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|
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- name: Install
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run: cmake --install build/native --config Release
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- name: Package
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working-directory: stage
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run: >
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cmake -E tar
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cf "../JustOneCacophony-native-${{ matrix.asset }}.zip"
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--format=zip
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-- .
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- name: Upload workflow artifact
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uses: actions/upload-artifact@v4
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with:
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name: JustOneCacophony-native-${{ matrix.asset }}
|
||||
path: JustOneCacophony-native-${{ matrix.asset }}.zip
|
||||
if-no-files-found: error
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||||
retention-days: 14
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||||
|
||||
release:
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||||
name: Publish GitHub Release
|
||||
if: startsWith(github.ref, 'refs/tags/v')
|
||||
needs: build
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||||
runs-on: ubuntu-24.04
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||||
|
||||
permissions:
|
||||
contents: write
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||||
|
||||
steps:
|
||||
- name: Download native packages
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uses: actions/download-artifact@v5
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||||
with:
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pattern: JustOneCacophony-native-*
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path: dist
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merge-multiple: true
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||||
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- name: Create release
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||||
run: >
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gh release create "$GITHUB_REF_NAME"
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dist/*.zip
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--verify-tag
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||||
--generate-notes
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||||
env:
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GH_TOKEN: ${{ github.token }}
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GH_REPO: ${{ github.repository }}
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@@ -7,7 +7,8 @@
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64-QMF → 77-hybrid 结构与 13-tap 低带 prototype 定义于
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[3GPP TS 26.405 / ETSI TS 126 405](https://www.etsi.org/deliver/etsi_ts/126400_126499/126405/06.00.00_60/ts_126405v060000p.pdf)
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第 5.2.2 节（Table 1 的 $Q=8$/$Q=4$ 系数，delay 6）：
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第 5.2.2 节（Table 1 的 $Q=8$/
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$Q=4$ 系数，delay 6）：
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$$G_q^p[n] = g^p[n]\cdot\exp\!\Bigl(j\,\frac{2\pi}{Q^p}\bigl(q+\tfrac12\bigr)(n-6)\Bigr)$$
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@@ -18,14 +19,15 @@ AAC/SBR 64 complex QMF bank；打包的 $64\times10$ 表是公开 640-tap protot
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$$A_{r,t} = \frac{(-1)^t}{128}\,c_{63-r+64t}$$
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QMF synthesis 表为 analysis 多相矩阵 $\mathbf{A}$ 的因果左逆
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$\mathbf{A}\,\mathbf{W}=\mathbf{P}$（$\mathbf{P}$ 为 577-sample 延迟置换；
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$\mathbf{A}\,\mathbf{W}=\mathbf{P}$（
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$\mathbf{P}$ 为 577-sample 延迟置换；
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全链 $961 = 577 + 6\times64$），rank-4 分解存储：
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$$W_{b,l} = \sum_{r=1}^{4} t_{b,l,r}\,\mathbf{b}_{b,r}^{\top}$$
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hybrid synthesis 表为 77→64 重组：高频带恒等 $Y_{3+b}=X_{16+b}$，低频带：
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$$Y_p = \sum_{q\in C_p}\Bigl(\operatorname{Re}X_q + j\,s_q\,\operatorname{Im}X_q\Bigr),\qquad s_q\in\{\pm1\}$$
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$$Y_p = \sum_{q\in C_p}\Bigl(\mathrm{Re}X_q + j\,s_q\,\mathrm{Im}X_q\Bigr),\qquad s_q\in\{\pm1\}$$
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相同数值可在 FFmpeg（`aacps_tablegen.h`、`aacsbrdata.h`）等公开实现中查到。
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+14
-7
@@ -109,8 +109,12 @@ The strict importer currently accepts:
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- an explicitly free-field/anechoic `RoomType`.
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Receiver order comes from geometry, never from the receiver array index. SOFA
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listener coordinates are $+X$ front, $+Y$ left, $+Z$ up; ADM coordinates are
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$+X$ right, $+Y$ front, $+Z$ up:
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listener coordinates are $+X$ front,
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$+Y$ left,
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$+Z$ up; ADM coordinates are
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$+X$ right,
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$+Y$ front,
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$+Z$ up:
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$$\bigl(x_{\mathrm{SOFA}},\ y_{\mathrm{SOFA}},\ z_{\mathrm{SOFA}}\bigr) = \bigl(y_{\mathrm{ADM}},\ -x_{\mathrm{ADM}},\ z_{\mathrm{ADM}}\bigr)$$
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@@ -159,7 +163,8 @@ The fixed resource is `data/rosella_kernels.npz`, which implements publicly
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standardized filter banks, computable from the following formulas.
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The hybrid analysis kernels are defined in [3GPP TS 26.405 / ETSI TS 126 405](https://www.etsi.org/deliver/etsi_ts/126400_126499/126405/06.00.00_60/ts_126405v060000p.pdf),
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Section 5.2.2 (Table 1 $Q=8$/$Q=4$ coefficients, delay 6):
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Section 5.2.2 (Table 1 $Q=8$/
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$Q=4$ coefficients, delay 6):
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$$G_q^p[n] = g^p[n]\cdot\exp\!\Bigl(j\,\frac{2\pi}{Q^p}\bigl(q+\tfrac12\bigr)(n-6)\Bigr),\qquad n=0,\dots,12$$
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@@ -170,17 +175,19 @@ reordering of the public 640-tap prototype $c_0,\dots,c_{639}$:
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$$A_{r,t} = \frac{(-1)^t}{128}\,c_{63-r+64t},\qquad r=0,\dots,63,\ t=0,\dots,9$$
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The QMF synthesis table is the causal left inverse of the analysis polyphase
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matrix $\mathbf{A}$, i.e. the solution of $\mathbf{A}\,\mathbf{W}=\mathbf{P}$
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matrix $\mathbf{A}$, i.e. the solution of
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$\mathbf{A}\,\mathbf{W}=\mathbf{P}$
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($\mathbf{P}$ is the 577-sample delay permutation; total latency
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$961 = 577 + 6\times64$), stored as a rank-4 factorization:
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$$W_{b,l} = \sum_{r=1}^{4} t_{b,l,r}\,\mathbf{b}_{b,r}^{\top}$$
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The hybrid synthesis table is the 77→64 recombination: identity for the high
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bands, $Y_{3+b}=X_{16+b}$, and for the low bands ($C_p$ is the $8+4+4$ child
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partition):
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bands, $Y_{3+b}=X_{16+b}$, and for the low bands(
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$C_p$ is the
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$8+4+4$ child partition):
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$$Y_p = \sum_{q\in C_p}\Bigl(\operatorname{Re}X_q + j\,s_q\,\operatorname{Im}X_q\Bigr),\qquad s_q\in\{\pm1\}$$
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$$Y_p = \sum_{q\in C_p}\Bigl(\mathrm{Re}X_q + j\,s_q\,\mathrm{Im}X_q\Bigr),\qquad s_q\in\{\pm1\}$$
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The loader verifies the archive and every array by SHA-256; the table version,
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all array hashes, and the 77 reference band-center values are part of the cache
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+13
-6
@@ -99,7 +99,11 @@ cached = SofaBinauralBackend.from_compiled_cache(
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- 明确的 free-field/anechoic `RoomType`。
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receiver 左右顺序由几何决定，不能假定 `Data.IR` 的 receiver index。SOFA listener
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坐标为 $+X$ front、$+Y$ left、$+Z$ up；ADM 坐标为 $+X$ right、$+Y$ front、
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坐标为 $+X$ front、
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$+Y$ left、
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$+Z$ up；ADM 坐标为
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$+X$ right、
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$+Y$ front、
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$+Z$ up，转换为：
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$$\bigl(x_{\mathrm{SOFA}},\ y_{\mathrm{SOFA}},\ z_{\mathrm{SOFA}}\bigr) = \bigl(y_{\mathrm{ADM}},\ -x_{\mathrm{ADM}},\ z_{\mathrm{ADM}}\bigr)$$
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@@ -144,7 +148,8 @@ ridge 为 `1e-3`，SH ridge 为 `1e-5`。同方向 measurement 先合并，再
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公式计算。
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hybrid 分析核定义于 [3GPP TS 26.405 / ETSI TS 126 405](https://www.etsi.org/deliver/etsi_ts/126400_126499/126405/06.00.00_60/ts_126405v060000p.pdf)
|
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第 5.2.2 节（Table 1 的 $Q=8$/$Q=4$ 系数，delay 6）：
|
||||
第 5.2.2 节（Table 1 的 $Q=8$/
|
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$Q=4$ 系数，delay 6）：
|
||||
|
||||
$$G_q^p[n] = g^p[n]\cdot\exp\!\Bigl(j\,\frac{2\pi}{Q^p}\bigl(q+\tfrac12\bigr)(n-6)\Bigr),\qquad n=0,\dots,12$$
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|
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@@ -155,15 +160,17 @@ $c_0,\dots,c_{639}$ 的多相重排：
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$$A_{r,t} = \frac{(-1)^t}{128}\,c_{63-r+64t},\qquad r=0,\dots,63,\ t=0,\dots,9$$
|
||||
|
||||
QMF synthesis 表为上述 analysis 多相矩阵 $\mathbf{A}$ 的因果左逆，即求解
|
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$\mathbf{A}\,\mathbf{W}=\mathbf{P}$（$\mathbf{P}$ 为 577-sample 延迟置换；
|
||||
$\mathbf{A}\,\mathbf{W}=\mathbf{P}$（
|
||||
$\mathbf{P}$ 为 577-sample 延迟置换；
|
||||
全链 $961 = 577 + 6\times64$），以 rank-4 分解形式存储：
|
||||
|
||||
$$W_{b,l} = \sum_{r=1}^{4} t_{b,l,r}\,\mathbf{b}_{b,r}^{\top}$$
|
||||
|
||||
hybrid synthesis 表为 77→64 重组：高频带恒等 $Y_{3+b}=X_{16+b}$；低频带
|
||||
（$C_p$ 为 $8+4+4$ 子带划分）：
|
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hybrid synthesis 表为 77→64 重组：高频带恒等 $Y_{3+b}=X_{16+b}$；低频带（
|
||||
$C_p$ 为
|
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$8+4+4$ 子带划分）：
|
||||
|
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$$Y_p = \sum_{q\in C_p}\Bigl(\operatorname{Re}X_q + j\,s_q\,\operatorname{Im}X_q\Bigr),\qquad s_q\in\{\pm1\}$$
|
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$$Y_p = \sum_{q\in C_p}\Bigl(\mathrm{Re}X_q + j\,s_q\,\mathrm{Im}X_q\Bigr),\qquad s_q\in\{\pm1\}$$
|
||||
|
||||
loader 校验 archive 和每个数组的 SHA-256；table version、所有数组 hash 与
|
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77 个 band-center 参考值都属于 cache key。标准可公开获取不等于获准实施相关
|
||||
|
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+16
-16
@@ -230,10 +230,10 @@ Write the 64 complex subbands as 128 interleaved real values in `src`. For $k=0\
|
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|
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$$
|
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\begin{aligned}
|
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\operatorname{zone}[2k] &= \operatorname{src}[4k],\\
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\operatorname{zone}[2k+1] &= -\operatorname{src}[4k+1],\\
|
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\operatorname{zone}[126-2k] &= \operatorname{src}[4k+2],\\
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\operatorname{zone}[127-2k] &= \operatorname{src}[4k+3].
|
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\mathrm{zone}[2k] &= \mathrm{src}[4k],\\
|
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\mathrm{zone}[2k+1] &= -\mathrm{src}[4k+1],\\
|
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\mathrm{zone}[126-2k] &= \mathrm{src}[4k+2],\\
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||||
\mathrm{zone}[127-2k] &= \mathrm{src}[4k+3].
|
||||
\end{aligned}
|
||||
$$
|
||||
|
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@@ -242,7 +242,7 @@ Treat `zone` as 64 complex values and apply an unnormalized 64-point FFT:
|
||||
$$
|
||||
F_k=
|
||||
\sum_{n=0}^{63}
|
||||
\operatorname{zone}_n
|
||||
\mathrm{zone}_n
|
||||
\exp\!\left(-j\frac{2\pi kn}{64}\right).
|
||||
$$
|
||||
|
||||
@@ -277,7 +277,7 @@ Object output is
|
||||
|
||||
$$
|
||||
y_o[64t+r]=
|
||||
\operatorname{clip}\!\left(
|
||||
\mathrm{clip}\!\left(
|
||||
16\,\mathbf y_{o,t}[r],-1,1
|
||||
\right)G_{\mathrm{clip}},
|
||||
$$
|
||||
@@ -290,7 +290,7 @@ LFE bypasses the object matrix and inverse QMF and uses a 1217-sample delay. Aft
|
||||
|
||||
$$
|
||||
y_{\mathrm{LFE}}[n]=
|
||||
\operatorname{clip}\!\left(
|
||||
\mathrm{clip}\!\left(
|
||||
x_{\mathrm{LFE,core}}[n-1217],-1,1
|
||||
\right).
|
||||
$$
|
||||
@@ -322,11 +322,11 @@ Their maximum runtime value is $32767/32768$, not exactly 1.
|
||||
For conversion to the ADM grid:
|
||||
|
||||
$$
|
||||
k_1=\operatorname{round}\!\left(\frac{62q_1}{32767}\right),
|
||||
k_1=\mathrm{round}\!\left(\frac{62q_1}{32767}\right),
|
||||
\quad
|
||||
k_2=\operatorname{round}\!\left(\frac{62q_2}{32767}\right),
|
||||
k_2=\mathrm{round}\!\left(\frac{62q_2}{32767}\right),
|
||||
\quad
|
||||
k_3=\operatorname{round}\!\left(\frac{15q_3}{32767}\right),
|
||||
k_3=\mathrm{round}\!\left(\frac{15q_3}{32767}\right),
|
||||
$$
|
||||
|
||||
$$
|
||||
@@ -398,7 +398,7 @@ For 5.1-family layouts with one horizontal surround pair rather than separate si
|
||||
|
||||
$$
|
||||
v_{\mathrm{floor}}=
|
||||
\operatorname{clamp}(2v,0,1).
|
||||
\mathrm{clamp}(2v,0,1).
|
||||
$$
|
||||
|
||||
Other layouts use $v_{\mathrm{floor}}=v$.
|
||||
@@ -441,15 +441,15 @@ $$
|
||||
Longitudinal and height weights are
|
||||
|
||||
$$
|
||||
p_v=\operatorname{clamp}\left(\frac v{0.6},0,1\right),
|
||||
p_v=\mathrm{clamp}\left(\frac v{0.6},0,1\right),
|
||||
$$
|
||||
|
||||
$$
|
||||
p_w=\operatorname{clamp}\left(\frac{w-0.2}{0.8},0,1\right),
|
||||
p_w=\mathrm{clamp}\left(\frac{w-0.2}{0.8},0,1\right),
|
||||
$$
|
||||
|
||||
$$
|
||||
p=\operatorname{clamp}(p_v+p_w,0,1).
|
||||
p=\mathrm{clamp}(p_v+p_w,0,1).
|
||||
$$
|
||||
|
||||
The linear compensation gain is
|
||||
@@ -550,8 +550,8 @@ For PCM24 output, quantization is
|
||||
|
||||
$$
|
||||
y_{24}[n]=
|
||||
\operatorname{trunc}\left(
|
||||
8388607\,\operatorname{clip}(y[n],-1,1)
|
||||
\mathrm{trunc}\left(
|
||||
8388607\,\mathrm{clip}(y[n],-1,1)
|
||||
\right).
|
||||
$$
|
||||
|
||||
|
||||
+16
-16
@@ -230,10 +230,10 @@ analysis 输入的 $1/16$ 缩放会在 inverse QMF 输出端由 $\times16$ 抵
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$$
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\begin{aligned}
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\operatorname{zone}[2k] &= \operatorname{src}[4k],\\
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\operatorname{zone}[2k+1] &= -\operatorname{src}[4k+1],\\
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\operatorname{zone}[126-2k] &= \operatorname{src}[4k+2],\\
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\operatorname{zone}[127-2k] &= \operatorname{src}[4k+3].
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\mathrm{zone}[2k] &= \mathrm{src}[4k],\\
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\mathrm{zone}[2k+1] &= -\mathrm{src}[4k+1],\\
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\mathrm{zone}[126-2k] &= \mathrm{src}[4k+2],\\
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\mathrm{zone}[127-2k] &= \mathrm{src}[4k+3].
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\end{aligned}
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$$
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@@ -242,7 +242,7 @@ $$
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$$
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F_k=
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\sum_{n=0}^{63}
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\operatorname{zone}_n
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\mathrm{zone}_n
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\exp\!\left(-j\frac{2\pi kn}{64}\right).
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$$
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@@ -277,7 +277,7 @@ $$
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$$
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y_o[64t+r]=
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\operatorname{clip}\!\left(
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\mathrm{clip}\!\left(
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16\,\mathbf y_{o,t}[r],-1,1
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\right)G_{\mathrm{clip}},
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$$
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@@ -290,7 +290,7 @@ LFE 不经过对象矩阵或 inverse QMF，而是使用 1217-sample 延迟。输
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$$
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y_{\mathrm{LFE}}[n]=
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\operatorname{clip}\!\left(
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\mathrm{clip}\!\left(
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x_{\mathrm{LFE,core}}[n-1217],-1,1
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\right).
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$$
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@@ -322,11 +322,11 @@ $$
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转换为 ADM 网格时：
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$$
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k_1=\operatorname{round}\!\left(\frac{62q_1}{32767}\right),
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k_1=\mathrm{round}\!\left(\frac{62q_1}{32767}\right),
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\quad
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k_2=\operatorname{round}\!\left(\frac{62q_2}{32767}\right),
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k_2=\mathrm{round}\!\left(\frac{62q_2}{32767}\right),
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\quad
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k_3=\operatorname{round}\!\left(\frac{15q_3}{32767}\right),
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k_3=\mathrm{round}\!\left(\frac{15q_3}{32767}\right),
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$$
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$$
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@@ -398,7 +398,7 @@ $$
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$$
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v_{\mathrm{floor}}=
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\operatorname{clamp}(2v,0,1).
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\mathrm{clamp}(2v,0,1).
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$$
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其他布局使用 $v_{\mathrm{floor}}=v$。
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@@ -441,15 +441,15 @@ $$
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前后与高度位置权重为
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$$
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p_v=\operatorname{clamp}\left(\frac v{0.6},0,1\right),
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p_v=\mathrm{clamp}\left(\frac v{0.6},0,1\right),
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$$
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$$
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p_w=\operatorname{clamp}\left(\frac{w-0.2}{0.8},0,1\right),
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p_w=\mathrm{clamp}\left(\frac{w-0.2}{0.8},0,1\right),
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$$
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$$
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p=\operatorname{clamp}(p_v+p_w,0,1).
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p=\mathrm{clamp}(p_v+p_w,0,1).
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$$
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线性补偿增益为
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@@ -550,8 +550,8 @@ $$
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$$
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y_{24}[n]=
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\operatorname{trunc}\left(
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8388607\,\operatorname{clip}(y[n],-1,1)
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\mathrm{trunc}\left(
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8388607\,\mathrm{clip}(y[n],-1,1)
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\right).
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$$
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||||
|
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Reference in New Issue
Block a user