Support https://huggingface.co/Revai/reverb-diarization-v1 (#1437)

@@ -4,7 +4,6 @@ on:
   push:
   push:
     branches:
     branches:
       - apk
       - apk
-      - android-demo-speaker-diarization-2
 
 
   workflow_dispatch:
   workflow_dispatch:
 
 
@@ -76,6 +75,11 @@ jobs:
         run: |
         run: |
           cd scripts/apk
           cd scripts/apk
 
 
+          total=${{ matrix.total }}
+          index=${{ matrix.index }}
+
+          python3 ./generate-speaker-diarization-apk-script.py --total $total --index $index
+
           chmod +x build-apk-speaker-diarization.sh
           chmod +x build-apk-speaker-diarization.sh
           mv -v ./build-apk-speaker-diarization.sh ../..
           mv -v ./build-apk-speaker-diarization.sh ../..
 
 

+name: export-revai-segmentation-to-onnx
+
+on:
+  workflow_dispatch:
+
+concurrency:
+  group: export-revai-segmentation-to-onnx-${{ github.ref }}
+  cancel-in-progress: true
+
+jobs:
+  export-revai-segmentation-to-onnx:
+    if: github.repository_owner == 'k2-fsa' || github.repository_owner == 'csukuangfj'
+    name: export revai segmentation models to ONNX
+    runs-on: ${{ matrix.os }}
+    strategy:
+      fail-fast: false
+      matrix:
+        os: [macos-latest]
+        python-version: ["3.10"]
+
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Setup Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v5
+        with:
+          python-version: ${{ matrix.python-version }}
+
+      - name: Install pyannote
+        shell: bash
+        run: |
+          pip install pyannote.audio onnx==1.15.0 onnxruntime==1.16.3
+
+      - name: Run
+        shell: bash
+        run: |
+          d=sherpa-onnx-reverb-diarization-v1
+          src=$PWD/$d
+          mkdir -p $src
+
+          pushd scripts/pyannote/segmentation
+          ./run-revai.sh
+          cp ./*.onnx $src/
+          cp ./README.md $src/
+          cp ./LICENSE $src/
+          cp ./run-revai.sh $src/run.sh
+          cp ./*.py $src/
+
+          popd
+          ls -lh $d
+          tar cjfv $d.tar.bz2 $d
+
+      - name: Release
+        uses: svenstaro/upload-release-action@v2
+        with:
+          file_glob: true
+          file: ./*.tar.bz2
+          overwrite: true
+          repo_name: k2-fsa/sherpa-onnx
+          repo_token: ${{ secrets.UPLOAD_GH_SHERPA_ONNX_TOKEN }}
+          tag: speaker-segmentation-models
+
+      - name: Publish to huggingface
+        env:
+          HF_TOKEN: ${{ secrets.HF_TOKEN }}
+        uses: nick-fields/retry@v3
+        with:
+          max_attempts: 20
+          timeout_seconds: 200
+          shell: bash
+          command: |
+            git config --global user.email "csukuangfj@gmail.com"
+            git config --global user.name "Fangjun Kuang"
+
+            d=sherpa-onnx-reverb-diarization-v1
+            export GIT_LFS_SKIP_SMUDGE=1
+            export GIT_CLONE_PROTECTION_ACTIVE=false
+            git clone https://huggingface.co/csukuangfj/$d huggingface
+            cp -v $d/* ./huggingface
+            cd huggingface
+            git lfs track "*.onnx"
+            git status
+            git add .
+            git status
+            git commit -m "add models"
+            git push https://csukuangfj:$HF_TOKEN@huggingface.co/csukuangfj/$d main

@@ -31,15 +31,24 @@ log "====================x86===================="
 
 
 mkdir -p apks
 mkdir -p apks
 
 
+{% for model in model_list %}
+
 pushd ./android/SherpaOnnxSpeakerDiarization/app/src/main/assets/
 pushd ./android/SherpaOnnxSpeakerDiarization/app/src/main/assets/
 
 
-curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-segmentation-models/sherpa-onnx-pyannote-segmentation-3-0.tar.bz2
-tar xvf sherpa-onnx-pyannote-segmentation-3-0.tar.bz2
-rm sherpa-onnx-pyannote-segmentation-3-0.tar.bz2
-mv sherpa-onnx-pyannote-segmentation-3-0/model.onnx segmentation.onnx
-rm -rf sherpa-onnx-pyannote-segmentation-3-0
+ls -lh
+
+model_name={{ model.model_name }}
+short_name={{ model.short_name }}
 
 
-curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-recongition-models/3dspeaker_speech_eres2net_base_sv_zh-cn_3dspeaker_16k.onnx
+curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-segmentation-models/$model_name.tar.bz2
+tar xvf $model_name.tar.bz2
+rm $model_name.tar.bz2
+mv $model_name/model.onnx segmentation.onnx
+rm -rf $model_name
+
+if [ ! -f 3dspeaker_speech_eres2net_base_sv_zh-cn_3dspeaker_16k.onnx ]; then
+  curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-recongition-models/3dspeaker_speech_eres2net_base_sv_zh-cn_3dspeaker_16k.onnx
+fi
 
 
 echo "pwd: $PWD"
 echo "pwd: $PWD"
 ls -lh
 ls -lh
@@ -65,9 +74,13 @@ for arch in arm64-v8a armeabi-v7a x86_64 x86; do
   ./gradlew build
   ./gradlew build
   popd
   popd
 
 
-  mv android/SherpaOnnxSpeakerDiarization/app/build/outputs/apk/debug/app-debug.apk ./apks/sherpa-onnx-${SHERPA_ONNX_VERSION}-$arch-speaker-diarization-pyannote_audio-3dspeaker.apk
+  mv android/SherpaOnnxSpeakerDiarization/app/build/outputs/apk/debug/app-debug.apk ./apks/sherpa-onnx-${SHERPA_ONNX_VERSION}-$arch-speaker-diarization-$short_name-3dspeaker.apk
   ls -lh apks
   ls -lh apks
   rm -v ./android/SherpaOnnxSpeakerDiarization/app/src/main/jniLibs/$arch/*.so
   rm -v ./android/SherpaOnnxSpeakerDiarization/app/src/main/jniLibs/$arch/*.so
 done
 done
 
 
+rm -rf ./android/SherpaOnnxSpeakerDiarization/app/src/main/assets/segmentation.onnx
+
+{% endfor %}
+
 ls -lh apks
 ls -lh apks

+#!/usr/bin/env python3
+
+import argparse
+from dataclasses import dataclass
+from typing import List
+
+import jinja2
+
+
+def get_args():
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "--total",
+        type=int,
+        default=1,
+        help="Number of runners",
+    )
+    parser.add_argument(
+        "--index",
+        type=int,
+        default=0,
+        help="Index of the current runner",
+    )
+    return parser.parse_args()
+
+
+@dataclass
+class SpeakerSegmentationModel:
+    model_name: str
+    short_name: str = ""
+
+
+def get_models() -> List[SpeakerSegmentationModel]:
+    models = [
+        SpeakerSegmentationModel(
+            model_name="sherpa-onnx-pyannote-segmentation-3-0",
+            short_name="pyannote_audio",
+        ),
+        SpeakerSegmentationModel(
+            model_name="sherpa-onnx-reverb-diarization-v1",
+            short_name="revai_v1",
+        ),
+    ]
+
+    return models
+
+
+def main():
+    args = get_args()
+    index = args.index
+    total = args.total
+    assert 0 <= index < total, (index, total)
+
+    all_model_list = get_models()
+
+    num_models = len(all_model_list)
+
+    num_per_runner = num_models // total
+    if num_per_runner <= 0:
+        raise ValueError(f"num_models: {num_models}, num_runners: {total}")
+
+    start = index * num_per_runner
+    end = start + num_per_runner
+
+    remaining = num_models - args.total * num_per_runner
+
+    print(f"{index}/{total}: {start}-{end}/{num_models}")
+
+    d = dict()
+    d["model_list"] = all_model_list[start:end]
+    if index < remaining:
+        s = args.total * num_per_runner + index
+        d["model_list"].append(all_model_list[s])
+        print(f"{s}/{num_models}")
+
+    filename_list = ["./build-apk-speaker-diarization.sh"]
+    for filename in filename_list:
+        environment = jinja2.Environment()
+        with open(f"{filename}.in") as f:
+            s = f.read()
+        template = environment.from_string(s)
+
+        s = template.render(**d)
+        with open(filename, "w") as f:
+            print(s, file=f)
+
+
+if __name__ == "__main__":
+    main()

 #!/usr/bin/env python3
 #!/usr/bin/env python3
+# Copyright      2024  Xiaomi Corp.        (authors: Fangjun Kuang)
 
 
+import os
 from typing import Any, Dict
 from typing import Any, Dict
 
 
 import onnx
 import onnx
@@ -35,6 +37,8 @@ def add_meta_data(filename: str, meta_data: Dict[str, Any]):
 def main():
 def main():
     # You can download ./pytorch_model.bin from
     # You can download ./pytorch_model.bin from
     # https://hf-mirror.com/csukuangfj/pyannote-models/tree/main/segmentation-3.0
     # https://hf-mirror.com/csukuangfj/pyannote-models/tree/main/segmentation-3.0
+    # or from
+    # https://huggingface.co/Revai/reverb-diarization-v1/tree/main
     pt_filename = "./pytorch_model.bin"
     pt_filename = "./pytorch_model.bin"
     model = Model.from_pretrained(pt_filename)
     model = Model.from_pretrained(pt_filename)
     model.eval()
     model.eval()
@@ -94,6 +98,22 @@ def main():
     receptive_field_size = int(model.receptive_field.duration * 16000)
     receptive_field_size = int(model.receptive_field.duration * 16000)
     receptive_field_shift = int(model.receptive_field.step * 16000)
     receptive_field_shift = int(model.receptive_field.step * 16000)
 
 
+    is_revai = os.getenv("SHERPA_ONNX_IS_REVAI", "")
+    if is_revai == "":
+        url_1 = "https://huggingface.co/pyannote/segmentation-3.0"
+        url_2 = "https://huggingface.co/csukuangfj/pyannote-models/tree/main/segmentation-3.0"
+        license_url = (
+            "https://huggingface.co/pyannote/segmentation-3.0/blob/main/LICENSE"
+        )
+        model_author = "pyannote-audio"
+    else:
+        url_1 = "https://huggingface.co/Revai/reverb-diarization-v1"
+        url_2 = "https://huggingface.co/csukuangfj/sherpa-onnx-reverb-diarization-v1"
+        license_url = (
+            "https://huggingface.co/Revai/reverb-diarization-v1/blob/main/LICENSE"
+        )
+        model_author = "Revai"
+
     meta_data = {
     meta_data = {
         "num_speakers": len(model.specifications.classes),
         "num_speakers": len(model.specifications.classes),
         "powerset_max_classes": model.specifications.powerset_max_classes,
         "powerset_max_classes": model.specifications.powerset_max_classes,
@@ -104,11 +124,11 @@ def main():
         "receptive_field_shift": receptive_field_shift,
         "receptive_field_shift": receptive_field_shift,
         "model_type": "pyannote-segmentation-3.0",
         "model_type": "pyannote-segmentation-3.0",
         "version": "1",
         "version": "1",
-        "model_author": "pyannote",
+        "model_author": model_author,
         "maintainer": "k2-fsa",
         "maintainer": "k2-fsa",
-        "url_1": "https://huggingface.co/pyannote/segmentation-3.0",
-        "url_2": "https://huggingface.co/csukuangfj/pyannote-models/tree/main/segmentation-3.0",
-        "license": "https://huggingface.co/pyannote/segmentation-3.0/blob/main/LICENSE",
+        "url_1": url_1,
+        "url_2": url_2,
+        "license": license_url,
     }
     }
     add_meta_data(filename=filename, meta_data=meta_data)
     add_meta_data(filename=filename, meta_data=meta_data)
 
 

 #!/usr/bin/env bash
 #!/usr/bin/env bash
+# Copyright      2024  Xiaomi Corp.        (authors: Fangjun Kuang)
 
 
 
 
 python3 -m onnxruntime.quantization.preprocess --input model.onnx --output tmp.preprocessed.onnx
 python3 -m onnxruntime.quantization.preprocess --input model.onnx --output tmp.preprocessed.onnx

+#!/usr/bin/env bash
+# Copyright    2024  Xiaomi Corp.        (authors: Fangjun Kuang)
+
+export SHERPA_ONNX_IS_REVAI=1
+
+set -ex
+function install_pyannote() {
+  pip install pyannote.audio onnx onnxruntime
+}
+
+function download_test_files() {
+  curl -SL -O https://huggingface.co/Revai/reverb-diarization-v1/resolve/main/pytorch_model.bin
+  curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/lei-jun-test.wav
+}
+
+install_pyannote
+download_test_files
+
+./export-onnx.py
+./preprocess.sh
+
+echo "----------torch----------"
+./vad-torch.py
+
+echo "----------onnx model.onnx----------"
+./vad-onnx.py --model ./model.onnx --wav ./lei-jun-test.wav
+
+echo "----------onnx model.int8.onnx----------"
+./vad-onnx.py --model ./model.int8.onnx --wav ./lei-jun-test.wav
+
+curl -SL -O https://huggingface.co/Revai/reverb-diarization-v1/resolve/main/LICENSE
+
+cat >README.md << EOF
+# Introduction
+
+Models in this file are converted from
+https://huggingface.co/Revai/reverb-diarization-v1/tree/main
+
+Note that it is accessible under a non-commercial license.
+
+Please see ./LICENSE for details.
+
+See also
+https://www.rev.com/blog/speech-to-text-technology/introducing-reverb-open-source-asr-diarization
+
+EOF
+
+

 #!/usr/bin/env python3
 #!/usr/bin/env python3
+# Copyright      2024  Xiaomi Corp.        (authors: Fangjun Kuang)
 
 
 """
 """
 Please refer to
 Please refer to

@@ -216,6 +216,8 @@ def main():
 
 
     is_active = classification[0] > onset
     is_active = classification[0] > onset
     start = None
     start = None
+    if is_active:
+        start = 0
 
 
     scale = m.receptive_field_shift / m.sample_rate
     scale = m.receptive_field_shift / m.sample_rate
     scale_offset = m.receptive_field_size / m.sample_rate * 0.5
     scale_offset = m.receptive_field_size / m.sample_rate * 0.5