Support CED models (#792)

.github/workflows/export-ced-to-onnx.yaml

@@ -0,0 +1,78 @@
+name: export-ced-to-onnx
+
+on:
+  workflow_dispatch:
+
+concurrency:
+  group: export-ced-to-onnx-${{ github.ref }}
+  cancel-in-progress: true
+
+jobs:
+  export-ced-to-onnx:
+    if: github.repository_owner == 'k2-fsa' || github.repository_owner == 'csukuangfj'
+    name: export ced
+    runs-on: ${{ matrix.os }}
+    strategy:
+      fail-fast: false
+      matrix:
+        os: [ubuntu-latest]
+        python-version: ["3.8"]
+
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Setup Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v5
+        with:
+          python-version: ${{ matrix.python-version }}
+
+      - name: Run
+        shell: bash
+        run: |
+          cd scripts/ced
+          ./run.sh
+
+      - 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: audio-tagging-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"
+
+            models=(
+              tiny
+              mini
+              small
+              base
+            )
+
+            for m in ${models[@]}; do
+              rm -rf huggingface
+              export GIT_LFS_SKIP_SMUDGE=1
+              d=sherpa-onnx-ced-$m-audio-tagging-2024-04-19
+              git clone https://huggingface.co/k2-fsa/$d huggingface
+              mv -v $d/* huggingface
+              cd huggingface
+              git lfs track "*.onnx"
+              git status
+              git add .
+              git status
+              git commit -m "first commit"
+              git push https://csukuangfj:$HF_TOKEN@huggingface.co/k2-fsa/$d main
+              cd ..
+            done

android/SherpaOnnx/app/src/main/res/values/strings.xml

@@ -1,5 +1,5 @@
 <resources>
-    <string name="app_name">ASR with Next-gen Kaldi</string>
+    <string name="app_name">ASR</string>
     <string name="hint">Click the Start button to play speech-to-text with Next-gen Kaldi.
         \n
         \n\n\n

android/SherpaOnnx2Pass/app/src/main/res/values/strings.xml

@@ -1,5 +1,5 @@
 <resources>
-    <string name="app_name">ASR with Next-gen Kaldi</string>
+    <string name="app_name">ASR2pass </string>
     <string name="hint">Click the Start button to play speech-to-text with Next-gen Kaldi.
         \n
         \n\n\n

android/SherpaOnnxAudioTagging/app/src/main/java/com/k2fsa/sherpa/onnx/audio/tagging/AudioTagging.kt

@@ -1,16 +1,16 @@
 package com.k2fsa.sherpa.onnx
 
 import android.content.res.AssetManager
-import android.util.Log
 
-private val TAG = "sherpa-onnx"
+const val TAG = "sherpa-onnx"
 
 data class OfflineZipformerAudioTaggingModelConfig(
-    var model: String,
+    var model: String = "",
 )
 
 data class AudioTaggingModelConfig(
-    var zipformer: OfflineZipformerAudioTaggingModelConfig,
+    var zipformer: OfflineZipformerAudioTaggingModelConfig = OfflineZipformerAudioTaggingModelConfig(),
+    var ced: String = "",
     var numThreads: Int = 1,
     var debug: Boolean = false,
     var provider: String = "cpu",
@@ -103,7 +103,7 @@ class AudioTagging(
 //
 // See also
 // https://k2-fsa.github.io/sherpa/onnx/audio-tagging/
-fun getAudioTaggingConfig(type: Int, numThreads: Int=1): AudioTaggingConfig? {
+fun getAudioTaggingConfig(type: Int, numThreads: Int = 1): AudioTaggingConfig? {
     when (type) {
         0 -> {
             val modelDir = "sherpa-onnx-zipformer-small-audio-tagging-2024-04-15"
@@ -123,7 +123,7 @@ fun getAudioTaggingConfig(type: Int, numThreads: Int=1): AudioTaggingConfig? {
             return AudioTaggingConfig(
                 model = AudioTaggingModelConfig(
                     zipformer = OfflineZipformerAudioTaggingModelConfig(model = "$modelDir/model.int8.onnx"),
-                    numThreads = 1,
+                    numThreads = numThreads,
                     debug = true,
                 ),
                 labels = "$modelDir/class_labels_indices.csv",
@@ -131,6 +131,57 @@ fun getAudioTaggingConfig(type: Int, numThreads: Int=1): AudioTaggingConfig? {
             )
         }
 
+        2 -> {
+            val modelDir = "sherpa-onnx-ced-tiny-audio-tagging-2024-04-19"
+            return AudioTaggingConfig(
+                model = AudioTaggingModelConfig(
+                    ced = "$modelDir/model.int8.onnx",
+                    numThreads = numThreads,
+                    debug = true,
+                ),
+                labels = "$modelDir/class_labels_indices.csv",
+                topK = 3,
+            )
+        }
+
+        3 -> {
+            val modelDir = "sherpa-onnx-ced-mini-audio-tagging-2024-04-19"
+            return AudioTaggingConfig(
+                model = AudioTaggingModelConfig(
+                    ced = "$modelDir/model.int8.onnx",
+                    numThreads = numThreads,
+                    debug = true,
+                ),
+                labels = "$modelDir/class_labels_indices.csv",
+                topK = 3,
+            )
+        }
+
+        4 -> {
+            val modelDir = "sherpa-onnx-ced-small-audio-tagging-2024-04-19"
+            return AudioTaggingConfig(
+                model = AudioTaggingModelConfig(
+                    ced = "$modelDir/model.int8.onnx",
+                    numThreads = numThreads,
+                    debug = true,
+                ),
+                labels = "$modelDir/class_labels_indices.csv",
+                topK = 3,
+            )
+        }
+
+        5 -> {
+            val modelDir = "sherpa-onnx-ced-base-audio-tagging-2024-04-19"
+            return AudioTaggingConfig(
+                model = AudioTaggingModelConfig(
+                    ced = "$modelDir/model.int8.onnx",
+                    numThreads = numThreads,
+                    debug = true,
+                ),
+                labels = "$modelDir/class_labels_indices.csv",
+                topK = 3,
+            )
+        }
     }
 
     return null

android/SherpaOnnxAudioTagging/app/src/main/java/com/k2fsa/sherpa/onnx/audio/tagging/Home.kt

@@ -3,24 +3,15 @@
 package com.k2fsa.sherpa.onnx.audio.tagging
 
 import android.Manifest
-
 import android.app.Activity
 import android.content.pm.PackageManager
 import android.media.AudioFormat
 import android.media.AudioRecord
-import androidx.compose.foundation.lazy.items
 import android.media.MediaRecorder
 import android.util.Log
 import androidx.compose.foundation.ExperimentalFoundationApi
-import androidx.compose.foundation.background
 import androidx.compose.foundation.layout.Arrangement
 import androidx.compose.foundation.layout.Box
-import androidx.compose.material3.CenterAlignedTopAppBar
-import androidx.compose.runtime.Composable
-import androidx.compose.material3.Scaffold
-import androidx.compose.material3.TopAppBarDefaults
-import androidx.compose.material3.MaterialTheme
-import androidx.compose.material3.Text
 import androidx.compose.foundation.layout.Column
 import androidx.compose.foundation.layout.PaddingValues
 import androidx.compose.foundation.layout.Row
@@ -30,10 +21,17 @@ import androidx.compose.foundation.layout.fillMaxWidth
 import androidx.compose.foundation.layout.height
 import androidx.compose.foundation.layout.padding
 import androidx.compose.foundation.lazy.LazyColumn
+import androidx.compose.foundation.lazy.items
 import androidx.compose.material3.Button
+import androidx.compose.material3.CenterAlignedTopAppBar
 import androidx.compose.material3.ExperimentalMaterial3Api
+import androidx.compose.material3.MaterialTheme
+import androidx.compose.material3.Scaffold
 import androidx.compose.material3.Slider
 import androidx.compose.material3.Surface
+import androidx.compose.material3.Text
+import androidx.compose.material3.TopAppBarDefaults
+import androidx.compose.runtime.Composable
 import androidx.compose.runtime.getValue
 import androidx.compose.runtime.mutableStateListOf
 import androidx.compose.runtime.mutableStateOf
@@ -41,7 +39,6 @@ import androidx.compose.runtime.remember
 import androidx.compose.runtime.setValue
 import androidx.compose.ui.Alignment
 import androidx.compose.ui.Modifier
-import androidx.compose.ui.graphics.Color
 import androidx.compose.ui.platform.LocalContext
 import androidx.compose.ui.text.font.FontWeight
 import androidx.compose.ui.text.style.TextAlign
@@ -49,6 +46,7 @@ import androidx.compose.ui.unit.dp
 import androidx.compose.ui.unit.sp
 import androidx.core.app.ActivityCompat
 import com.k2fsa.sherpa.onnx.AudioEvent
+import com.k2fsa.sherpa.onnx.Tagger
 import kotlin.concurrent.thread
 
 

android/SherpaOnnxAudioTagging/app/src/main/java/com/k2fsa/sherpa/onnx/audio/tagging/MainActivity.kt

@@ -13,6 +13,7 @@ import androidx.compose.material3.Surface
 import androidx.compose.runtime.Composable
 import androidx.compose.ui.Modifier
 import androidx.core.app.ActivityCompat
+import com.k2fsa.sherpa.onnx.Tagger
 import com.k2fsa.sherpa.onnx.audio.tagging.ui.theme.SherpaOnnxAudioTaggingTheme
 
 const val TAG = "sherpa-onnx"

android/SherpaOnnxAudioTagging/app/src/main/java/com/k2fsa/sherpa/onnx/audio/tagging/Tagger.kt

@@ -1,10 +1,8 @@
-package com.k2fsa.sherpa.onnx.audio.tagging
+package com.k2fsa.sherpa.onnx
 
 import android.content.res.AssetManager
 import android.util.Log
-import com.k2fsa.sherpa.onnx.AudioTagging
-import com.k2fsa.sherpa.onnx.audio.tagging.wear.os.presentation.TAG
-import com.k2fsa.sherpa.onnx.getAudioTaggingConfig
+
 
 object Tagger {
     private var _tagger: AudioTagging? = null
@@ -12,6 +10,7 @@ object Tagger {
         get() {
             return _tagger!!
         }
+
     fun initTagger(assetManager: AssetManager? = null, numThreads: Int = 1) {
         synchronized(this) {
             if (_tagger != null) {
@@ -19,7 +18,7 @@ object Tagger {
             }
 
             Log.i(TAG, "Initializing audio tagger")
-            val config = getAudioTaggingConfig(type = 0, numThreads=numThreads)!!
+            val config = getAudioTaggingConfig(type = 0, numThreads = numThreads)!!
             _tagger = AudioTagging(assetManager, config)
         }
     }

android/SherpaOnnxAudioTaggingWearOs/app/src/main/java/com/k2fsa/sherpa/onnx/audio/tagging/wear/os/presentation/HomeScreen.kt

@@ -33,7 +33,7 @@ import androidx.wear.compose.material.Button
 import androidx.wear.compose.material.MaterialTheme
 import androidx.wear.compose.material.Text
 import com.k2fsa.sherpa.onnx.AudioEvent
-import com.k2fsa.sherpa.onnx.audio.tagging.Tagger
+import com.k2fsa.sherpa.onnx.Tagger
 import com.k2fsa.sherpa.onnx.audio.tagging.wear.os.presentation.theme.SherpaOnnxAudioTaggingWearOsTheme
 import kotlin.concurrent.thread
 

android/SherpaOnnxAudioTaggingWearOs/app/src/main/java/com/k2fsa/sherpa/onnx/audio/tagging/wear/os/presentation/MainActivity.kt

@@ -17,7 +17,7 @@ import androidx.activity.compose.setContent
 import androidx.compose.runtime.Composable
 import androidx.core.app.ActivityCompat
 import androidx.core.splashscreen.SplashScreen.Companion.installSplashScreen
-import com.k2fsa.sherpa.onnx.audio.tagging.Tagger
+import com.k2fsa.sherpa.onnx.Tagger
 
 const val TAG = "sherpa-onnx"
 private const val REQUEST_RECORD_AUDIO_PERMISSION = 200

android/SherpaOnnxAudioTaggingWearOs/app/src/main/res/values/strings.xml

@@ -1,5 +1,5 @@
 <resources>
-    <string name="app_name">AudioTagging</string>
+    <string name="app_name">Audio Tagging</string>
     <!--
     This string is used for square devices and overridden by hello_world in
     values-round/strings.xml for round devices.

android/SherpaOnnxSpeakerIdentification/app/src/main/res/values/strings.xml

@@ -1,5 +1,5 @@
 <resources>
-    <string name="app_name">Speaker Identification</string>
+    <string name="app_name">Speaker ID</string>
     <string name="start">Start recording</string>
     <string name="stop">Stop recording</string>
     <string name="add">Add speaker</string>

android/SherpaOnnxSpokenLanguageIdentification/app/src/main/res/values/strings.xml

@@ -1,3 +1,3 @@
 <resources>
-    <string name="app_name">SherpaOnnxSpokenLanguageIdentification</string>
+    <string name="app_name">Language ID</string>
 </resources>

android/SherpaOnnxTts/app/src/main/res/values/strings.xml

@@ -1,5 +1,5 @@
 <resources>
-    <string name="app_name">Next-gen Kaldi: TTS</string>
+    <string name="app_name">TTS</string>
     <string name="sid_label">Speaker ID</string>
     <string name="sid_hint">0</string>
     <string name="speed_label">Speech speed (large->fast)</string>

android/SherpaOnnxTtsEngine/app/src/main/res/values/strings.xml

@@ -1,3 +1,3 @@
 <resources>
-    <string name="app_name">Next-gen Kaldi: TTS</string>
+    <string name="app_name">TTS Engine</string>
 </resources>

android/SherpaOnnxVad/app/src/main/res/values/strings.xml

@@ -1,5 +1,5 @@
 <resources>
-    <string name="app_name">Next-gen Kaldi: SileroVAD</string>
+    <string name="app_name">VAD</string>
 
     <string name="hint">Click the Start button to play Silero VAD with Next-gen Kaldi.</string>
     <string name="start">Start</string>

android/SherpaOnnxVadAsr/app/src/main/res/values/strings.xml

@@ -1,5 +1,5 @@
 <resources>
-    <string name="app_name">ASR with Next-gen Kaldi</string>
+    <string name="app_name">VAD-ASR</string>
     <string name="hint">Click the Start button to play speech-to-text with Next-gen Kaldi.
         \n
         \n\n\n

scripts/apk/generate-audio-tagging-apk-script.py

@@ -46,7 +46,30 @@ def get_models():
         ),
     ]
 
-    return icefall_models
+    ced_models = [
+        AudioTaggingModel(
+            model_name="sherpa-onnx-ced-tiny-audio-tagging-2024-04-19",
+            idx=2,
+            short_name="ced_tiny",
+        ),
+        AudioTaggingModel(
+            model_name="sherpa-onnx-ced-mini-audio-tagging-2024-04-19",
+            idx=3,
+            short_name="ced_mini",
+        ),
+        AudioTaggingModel(
+            model_name="sherpa-onnx-ced-small-audio-tagging-2024-04-19",
+            idx=4,
+            short_name="ced_small",
+        ),
+        AudioTaggingModel(
+            model_name="sherpa-onnx-ced-base-audio-tagging-2024-04-19",
+            idx=5,
+            short_name="ced_base",
+        ),
+    ]
+
+    return icefall_models + ced_models
 
 
 def main():

scripts/ced/run.sh

@@ -0,0 +1,69 @@
+#!/usr/bin/env bash
+#
+# Copyright      2024  Xiaomi Corp.        (authors: Fangjun Kuang)
+
+set -ex
+
+function install_dependencies() {
+  pip install -qq torch==2.1.0+cpu torchaudio==2.1.0+cpu -f https://download.pytorch.org/whl/torch_stable.html
+  pip install -qq onnx onnxruntime==1.17.1
+
+  pip install -r ./requirements.txt
+}
+
+git clone https://github.com/RicherMans/CED
+pushd CED
+
+install_dependencies
+
+models=(
+tiny
+mini
+small
+base
+)
+
+for m in ${models[@]}; do
+  python3 ./export_onnx.py -m ced_$m
+done
+
+ls -lh *.onnx
+
+curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/audio-tagging-models/sherpa-onnx-zipformer-small-audio-tagging-2024-04-15.tar.bz2
+
+tar xvf sherpa-onnx-zipformer-small-audio-tagging-2024-04-15.tar.bz2
+rm sherpa-onnx-zipformer-small-audio-tagging-2024-04-15.tar.bz2
+src=sherpa-onnx-zipformer-small-audio-tagging-2024-04-15
+
+cat >README.md <<EOF
+# Introduction
+
+Models in this repo are converted from
+https://github.com/RicherMans/CED
+EOF
+
+for m in ${models[@]}; do
+  d=sherpa-onnx-ced-$m-audio-tagging-2024-04-19
+
+  mkdir -p $d
+
+  cp -v README.md $d
+  cp -v $src/class_labels_indices.csv $d
+  cp -a $src/test_wavs $d
+  cp -v ced_$m.onnx $d/model.onnx
+  cp -v ced_$m.int8.onnx $d/model.int8.onnx
+  echo "----------$m----------"
+  ls -lh $d
+  echo "----------------------"
+  tar cjvf $d.tar.bz2 $d
+  mv $d.tar.bz2 ../../..
+  mv $d ../../../
+done
+
+rm -rf sherpa-onnx-zipformer-small-audio-tagging-2024-04-15
+
+cd ../../..
+
+ls -lh *.tar.bz2
+echo "======="
+ls -lh

sherpa-onnx/c-api/c-api.cc

@@ -1223,6 +1223,7 @@ const SherpaOnnxAudioTagging *SherpaOnnxCreateAudioTagging(
     const SherpaOnnxAudioTaggingConfig *config) {
   sherpa_onnx::AudioTaggingConfig ac;
   ac.model.zipformer.model = SHERPA_ONNX_OR(config->model.zipformer.model, "");
+  ac.model.ced = SHERPA_ONNX_OR(config->model.ced, "");
   ac.model.num_threads = SHERPA_ONNX_OR(config->model.num_threads, 1);
   ac.model.debug = config->model.debug;
   ac.model.provider = SHERPA_ONNX_OR(config->model.provider, "cpu");

sherpa-onnx/c-api/c-api.h

@@ -1100,6 +1100,7 @@ SHERPA_ONNX_API typedef struct
 
 SHERPA_ONNX_API typedef struct SherpaOnnxAudioTaggingModelConfig {
   SherpaOnnxOfflineZipformerAudioTaggingModelConfig zipformer;
+  const char *ced;
   int32_t num_threads;
   int32_t debug;  // true to print debug information of the model
   const char *provider;

sherpa-onnx/csrc/CMakeLists.txt

@@ -117,6 +117,7 @@ list(APPEND sources
   audio-tagging-label-file.cc
   audio-tagging-model-config.cc
   audio-tagging.cc
+  offline-ced-model.cc
   offline-zipformer-audio-tagging-model-config.cc
   offline-zipformer-audio-tagging-model.cc
 )

sherpa-onnx/csrc/audio-tagging-ced-impl.h

@@ -0,0 +1,111 @@
+// sherpa-onnx/csrc/audio-tagging-ced-impl.h
+//
+// Copyright (c)  2024  Xiaomi Corporation
+#ifndef SHERPA_ONNX_CSRC_AUDIO_TAGGING_CED_IMPL_H_
+#define SHERPA_ONNX_CSRC_AUDIO_TAGGING_CED_IMPL_H_
+
+#include <assert.h>
+
+#include <memory>
+#include <utility>
+#include <vector>
+
+#if __ANDROID_API__ >= 9
+#include "android/asset_manager.h"
+#include "android/asset_manager_jni.h"
+#endif
+
+#include "sherpa-onnx/csrc/audio-tagging-impl.h"
+#include "sherpa-onnx/csrc/audio-tagging-label-file.h"
+#include "sherpa-onnx/csrc/audio-tagging.h"
+#include "sherpa-onnx/csrc/macros.h"
+#include "sherpa-onnx/csrc/math.h"
+#include "sherpa-onnx/csrc/offline-ced-model.h"
+
+namespace sherpa_onnx {
+
+class AudioTaggingCEDImpl : public AudioTaggingImpl {
+ public:
+  explicit AudioTaggingCEDImpl(const AudioTaggingConfig &config)
+      : config_(config), model_(config.model), labels_(config.labels) {
+    if (model_.NumEventClasses() != labels_.NumEventClasses()) {
+      SHERPA_ONNX_LOGE("number of classes: %d (model) != %d (label file)",
+                       model_.NumEventClasses(), labels_.NumEventClasses());
+      exit(-1);
+    }
+  }
+
+#if __ANDROID_API__ >= 9
+  explicit AudioTaggingCEDImpl(AAssetManager *mgr,
+                               const AudioTaggingConfig &config)
+      : config_(config),
+        model_(mgr, config.model),
+        labels_(mgr, config.labels) {
+    if (model_.NumEventClasses() != labels_.NumEventClasses()) {
+      SHERPA_ONNX_LOGE("number of classes: %d (model) != %d (label file)",
+                       model_.NumEventClasses(), labels_.NumEventClasses());
+      exit(-1);
+    }
+  }
+#endif
+
+  std::unique_ptr<OfflineStream> CreateStream() const override {
+    return std::make_unique<OfflineStream>(CEDTag{});
+  }
+
+  std::vector<AudioEvent> Compute(OfflineStream *s,
+                                  int32_t top_k = -1) const override {
+    if (top_k < 0) {
+      top_k = config_.top_k;
+    }
+
+    int32_t num_event_classes = model_.NumEventClasses();
+
+    if (top_k > num_event_classes) {
+      top_k = num_event_classes;
+    }
+
+    auto memory_info =
+        Ort::MemoryInfo::CreateCpu(OrtDeviceAllocator, OrtMemTypeDefault);
+
+    // WARNING(fangjun): It is fixed to 64 for CED models
+    int32_t feat_dim = 64;
+    std::vector<float> f = s->GetFrames();
+
+    int32_t num_frames = f.size() / feat_dim;
+    assert(feat_dim * num_frames == f.size());
+
+    std::array<int64_t, 3> shape = {1, num_frames, feat_dim};
+
+    Ort::Value x = Ort::Value::CreateTensor(memory_info, f.data(), f.size(),
+                                            shape.data(), shape.size());
+
+    Ort::Value probs = model_.Forward(std::move(x));
+
+    const float *p = probs.GetTensorData<float>();
+
+    std::vector<int32_t> top_k_indexes = TopkIndex(p, num_event_classes, top_k);
+
+    std::vector<AudioEvent> ans(top_k);
+
+    int32_t i = 0;
+
+    for (int32_t index : top_k_indexes) {
+      ans[i].name = labels_.GetEventName(index);
+      ans[i].index = index;
+      ans[i].prob = p[index];
+      i += 1;
+    }
+
+    return ans;
+  }
+
+ private:
+  AudioTaggingConfig config_;
+  OfflineCEDModel model_;
+  AudioTaggingLabels labels_;
+};
+
+}  // namespace sherpa_onnx
+
+#endif  // SHERPA_ONNX_CSRC_AUDIO_TAGGING_CED_IMPL_H_

sherpa-onnx/csrc/audio-tagging-impl.cc

@@ -11,6 +11,7 @@
 #include "android/asset_manager_jni.h"
 #endif
 
+#include "sherpa-onnx/csrc/audio-tagging-ced-impl.h"
 #include "sherpa-onnx/csrc/audio-tagging-zipformer-impl.h"
 #include "sherpa-onnx/csrc/macros.h"
 
@@ -20,6 +21,8 @@ std::unique_ptr<AudioTaggingImpl> AudioTaggingImpl::Create(
     const AudioTaggingConfig &config) {
   if (!config.model.zipformer.model.empty()) {
     return std::make_unique<AudioTaggingZipformerImpl>(config);
+  } else if (!config.model.ced.empty()) {
+    return std::make_unique<AudioTaggingCEDImpl>(config);
   }
 
   SHERPA_ONNX_LOG(
@@ -32,6 +35,8 @@ std::unique_ptr<AudioTaggingImpl> AudioTaggingImpl::Create(
     AAssetManager *mgr, const AudioTaggingConfig &config) {
   if (!config.model.zipformer.model.empty()) {
     return std::make_unique<AudioTaggingZipformerImpl>(mgr, config);
+  } else if (!config.model.ced.empty()) {
+    return std::make_unique<AudioTaggingCEDImpl>(mgr, config);
   }
 
   SHERPA_ONNX_LOG(

sherpa-onnx/csrc/audio-tagging-model-config.cc

@@ -4,11 +4,18 @@
 
 #include "sherpa-onnx/csrc/audio-tagging-model-config.h"
 
+#include "sherpa-onnx/csrc/file-utils.h"
+#include "sherpa-onnx/csrc/macros.h"
+
 namespace sherpa_onnx {
 
 void AudioTaggingModelConfig::Register(ParseOptions *po) {
   zipformer.Register(po);
 
+  po->Register("ced-model", &ced,
+               "Path to CED model. Only need to pass one of --zipformer-model "
+               "or --ced-model");
+
   po->Register("num-threads", &num_threads,
                "Number of threads to run the neural network");
 
@@ -24,6 +31,16 @@ bool AudioTaggingModelConfig::Validate() const {
     return false;
   }
 
+  if (!ced.empty() && !FileExists(ced)) {
+    SHERPA_ONNX_LOGE("CED model file %s does not exist", ced.c_str());
+    return false;
+  }
+
+  if (zipformer.model.empty() && ced.empty()) {
+    SHERPA_ONNX_LOGE("Please provide either --zipformer-model or --ced-model");
+    return false;
+  }
+
   return true;
 }
 
@@ -32,6 +49,7 @@ std::string AudioTaggingModelConfig::ToString() const {
 
   os << "AudioTaggingModelConfig(";
   os << "zipformer=" << zipformer.ToString() << ", ";
+  os << "ced=\"" << ced << "\", ";
   os << "num_threads=" << num_threads << ", ";
   os << "debug=" << (debug ? "True" : "False") << ", ";
   os << "provider=\"" << provider << "\")";

sherpa-onnx/csrc/audio-tagging-model-config.h

@@ -13,6 +13,7 @@ namespace sherpa_onnx {
 
 struct AudioTaggingModelConfig {
   struct OfflineZipformerAudioTaggingModelConfig zipformer;
+  std::string ced;
 
   int32_t num_threads = 1;
   bool debug = false;
@@ -22,8 +23,10 @@ struct AudioTaggingModelConfig {
 
   AudioTaggingModelConfig(
       const OfflineZipformerAudioTaggingModelConfig &zipformer,
-      int32_t num_threads, bool debug, const std::string &provider)
+      const std::string &ced, int32_t num_threads, bool debug,
+      const std::string &provider)
       : zipformer(zipformer),
+        ced(ced),
         num_threads(num_threads),
         debug(debug),
         provider(provider) {}

sherpa-onnx/csrc/audio-tagging-zipformer-impl.h

@@ -4,6 +4,8 @@
 #ifndef SHERPA_ONNX_CSRC_AUDIO_TAGGING_ZIPFORMER_IMPL_H_
 #define SHERPA_ONNX_CSRC_AUDIO_TAGGING_ZIPFORMER_IMPL_H_
 
+#include <assert.h>
+
 #include <memory>
 #include <utility>
 #include <vector>
@@ -72,6 +74,8 @@ class AudioTaggingZipformerImpl : public AudioTaggingImpl {
 
     int32_t num_frames = f.size() / feat_dim;
 
+    assert(feat_dim * num_frames == f.size());
+
     std::array<int64_t, 3> shape = {1, num_frames, feat_dim};
 
     Ort::Value x = Ort::Value::CreateTensor(memory_info, f.data(), f.size(),

sherpa-onnx/csrc/features.cc

@@ -24,7 +24,8 @@ void FeatureExtractorConfig::Register(ParseOptions *po) {
                "inside the feature extractor");
 
   po->Register("feat-dim", &feature_dim,
-               "Feature dimension. Must match the one expected by the model.");
+               "Feature dimension. Must match the one expected by the model. "
+               "Not used by whisper and CED models");
 
   po->Register("low-freq", &low_freq, "Low cutoff frequency for mel bins");
 

sherpa-onnx/csrc/offline-ced-model.cc

@@ -0,0 +1,112 @@
+// sherpa-onnx/csrc/offline-ced-model.cc
+//
+// Copyright (c)  2024  Xiaomi Corporation
+
+#include "sherpa-onnx/csrc/offline-ced-model.h"
+
+#include <string>
+#include <vector>
+
+#include "sherpa-onnx/csrc/onnx-utils.h"
+#include "sherpa-onnx/csrc/session.h"
+#include "sherpa-onnx/csrc/text-utils.h"
+#include "sherpa-onnx/csrc/transpose.h"
+
+namespace sherpa_onnx {
+
+class OfflineCEDModel::Impl {
+ public:
+  explicit Impl(const AudioTaggingModelConfig &config)
+      : config_(config),
+        env_(ORT_LOGGING_LEVEL_ERROR),
+        sess_opts_(GetSessionOptions(config)),
+        allocator_{} {
+    auto buf = ReadFile(config_.ced);
+    Init(buf.data(), buf.size());
+  }
+
+#if __ANDROID_API__ >= 9
+  Impl(AAssetManager *mgr, const AudioTaggingModelConfig &config)
+      : config_(config),
+        env_(ORT_LOGGING_LEVEL_ERROR),
+        sess_opts_(GetSessionOptions(config)),
+        allocator_{} {
+    auto buf = ReadFile(mgr, config_.ced);
+    Init(buf.data(), buf.size());
+  }
+#endif
+
+  Ort::Value Forward(Ort::Value features) {
+    features = Transpose12(allocator_, &features);
+
+    auto ans = sess_->Run({}, input_names_ptr_.data(), &features, 1,
+                          output_names_ptr_.data(), output_names_ptr_.size());
+    return std::move(ans[0]);
+  }
+
+  int32_t NumEventClasses() const { return num_event_classes_; }
+
+  OrtAllocator *Allocator() const { return allocator_; }
+
+ private:
+  void Init(void *model_data, size_t model_data_length) {
+    sess_ = std::make_unique<Ort::Session>(env_, model_data, model_data_length,
+                                           sess_opts_);
+
+    GetInputNames(sess_.get(), &input_names_, &input_names_ptr_);
+
+    GetOutputNames(sess_.get(), &output_names_, &output_names_ptr_);
+
+    // get meta data
+    Ort::ModelMetadata meta_data = sess_->GetModelMetadata();
+    if (config_.debug) {
+      std::ostringstream os;
+      PrintModelMetadata(os, meta_data);
+      SHERPA_ONNX_LOGE("%s\n", os.str().c_str());
+    }
+
+    // get num_event_classes from the output[0].shape,
+    // which is (N, num_event_classes)
+    num_event_classes_ =
+        sess_->GetOutputTypeInfo(0).GetTensorTypeAndShapeInfo().GetShape()[1];
+  }
+
+ private:
+  AudioTaggingModelConfig config_;
+  Ort::Env env_;
+  Ort::SessionOptions sess_opts_;
+  Ort::AllocatorWithDefaultOptions allocator_;
+
+  std::unique_ptr<Ort::Session> sess_;
+
+  std::vector<std::string> input_names_;
+  std::vector<const char *> input_names_ptr_;
+
+  std::vector<std::string> output_names_;
+  std::vector<const char *> output_names_ptr_;
+
+  int32_t num_event_classes_ = 0;
+};
+
+OfflineCEDModel::OfflineCEDModel(const AudioTaggingModelConfig &config)
+    : impl_(std::make_unique<Impl>(config)) {}
+
+#if __ANDROID_API__ >= 9
+OfflineCEDModel::OfflineCEDModel(AAssetManager *mgr,
+                                 const AudioTaggingModelConfig &config)
+    : impl_(std::make_unique<Impl>(mgr, config)) {}
+#endif
+
+OfflineCEDModel::~OfflineCEDModel() = default;
+
+Ort::Value OfflineCEDModel::Forward(Ort::Value features) const {
+  return impl_->Forward(std::move(features));
+}
+
+int32_t OfflineCEDModel::NumEventClasses() const {
+  return impl_->NumEventClasses();
+}
+
+OrtAllocator *OfflineCEDModel::Allocator() const { return impl_->Allocator(); }
+
+}  // namespace sherpa_onnx

sherpa-onnx/csrc/offline-ced-model.h

@@ -0,0 +1,56 @@
+// sherpa-onnx/csrc/offline-ced-model.h
+//
+// Copyright (c)  2024  Xiaomi Corporation
+#ifndef SHERPA_ONNX_CSRC_OFFLINE_CED_MODEL_H_
+#define SHERPA_ONNX_CSRC_OFFLINE_CED_MODEL_H_
+#include <memory>
+#include <utility>
+
+#if __ANDROID_API__ >= 9
+#include "android/asset_manager.h"
+#include "android/asset_manager_jni.h"
+#endif
+
+#include "onnxruntime_cxx_api.h"  // NOLINT
+#include "sherpa-onnx/csrc/audio-tagging-model-config.h"
+
+namespace sherpa_onnx {
+
+/** This class implements the CED model from
+ * https://github.com/RicherMans/CED/blob/main/export_onnx.py
+ */
+class OfflineCEDModel {
+ public:
+  explicit OfflineCEDModel(const AudioTaggingModelConfig &config);
+
+#if __ANDROID_API__ >= 9
+  OfflineCEDModel(AAssetManager *mgr, const AudioTaggingModelConfig &config);
+#endif
+
+  ~OfflineCEDModel();
+
+  /** Run the forward method of the model.
+   *
+   * @param features  A tensor of shape (N, T, C).
+   *
+   * @return Return a tensor
+   *  - probs: A 2-D tensor of shape (N, num_event_classes).
+   */
+  Ort::Value Forward(Ort::Value features) const;
+
+  /** Return the number of event classes of the model
+   */
+  int32_t NumEventClasses() const;
+
+  /** Return an allocator for allocating memory
+   */
+  OrtAllocator *Allocator() const;
+
+ private:
+  class Impl;
+  std::unique_ptr<Impl> impl_;
+};
+
+}  // namespace sherpa_onnx
+
+#endif  // SHERPA_ONNX_CSRC_OFFLINE_CED_MODEL_H_

sherpa-onnx/csrc/offline-stream.cc

@@ -92,15 +92,32 @@ class OfflineStream::Impl {
     fbank_ = std::make_unique<knf::OnlineFbank>(opts_);
   }
 
-  Impl(WhisperTag /*tag*/, ContextGraphPtr context_graph)
-      : context_graph_(context_graph) {
+  explicit Impl(WhisperTag /*tag*/) {
     config_.normalize_samples = true;
     opts_.frame_opts.samp_freq = 16000;
-    opts_.mel_opts.num_bins = 80;
+    opts_.mel_opts.num_bins = 80;  // not used
     whisper_fbank_ =
         std::make_unique<knf::OnlineWhisperFbank>(opts_.frame_opts);
   }
 
+  explicit Impl(CEDTag /*tag*/) {
+    // see
+    // https://github.com/RicherMans/CED/blob/main/onnx_inference_with_kaldi.py
+
+    opts_.frame_opts.frame_length_ms = 32;
+    opts_.frame_opts.dither = 0;
+    opts_.frame_opts.preemph_coeff = 0;
+    opts_.frame_opts.remove_dc_offset = false;
+    opts_.frame_opts.window_type = "hann";
+    opts_.frame_opts.snip_edges = false;
+
+    opts_.frame_opts.samp_freq = 16000;  // fixed to 16000
+    opts_.mel_opts.num_bins = 64;
+    opts_.mel_opts.high_freq = 8000;
+
+    fbank_ = std::make_unique<knf::OnlineFbank>(opts_);
+  }
+
   void AcceptWaveform(int32_t sampling_rate, const float *waveform, int32_t n) {
     if (config_.normalize_samples) {
       AcceptWaveformImpl(sampling_rate, waveform, n);
@@ -233,9 +250,10 @@ OfflineStream::OfflineStream(
     ContextGraphPtr context_graph /*= nullptr*/)
     : impl_(std::make_unique<Impl>(config, context_graph)) {}
 
-OfflineStream::OfflineStream(WhisperTag tag,
-                             ContextGraphPtr context_graph /*= {}*/)
-    : impl_(std::make_unique<Impl>(tag, context_graph)) {}
+OfflineStream::OfflineStream(WhisperTag tag)
+    : impl_(std::make_unique<Impl>(tag)) {}
+
+OfflineStream::OfflineStream(CEDTag tag) : impl_(std::make_unique<Impl>(tag)) {}
 
 OfflineStream::~OfflineStream() = default;
 

sherpa-onnx/csrc/offline-stream.h

@@ -67,13 +67,15 @@ struct OfflineFeatureExtractorConfig {
 };
 
 struct WhisperTag {};
+struct CEDTag {};
 
 class OfflineStream {
  public:
   explicit OfflineStream(const OfflineFeatureExtractorConfig &config = {},
                          ContextGraphPtr context_graph = {});
 
-  explicit OfflineStream(WhisperTag tag, ContextGraphPtr context_graph = {});
+  explicit OfflineStream(WhisperTag tag);
+  explicit OfflineStream(CEDTag tag);
   ~OfflineStream();
 
   /**

sherpa-onnx/jni/audio-tagging.cc

@@ -31,6 +31,12 @@ static AudioTaggingConfig GetAudioTaggingConfig(JNIEnv *env, jobject config) {
   ans.model.zipformer.model = p;
   env->ReleaseStringUTFChars(s, p);
 
+  fid = env->GetFieldID(model_cls, "ced", "Ljava/lang/String;");
+  s = (jstring)env->GetObjectField(model, fid);
+  p = env->GetStringUTFChars(s, nullptr);
+  ans.model.ced = p;
+  env->ReleaseStringUTFChars(s, p);
+
   fid = env->GetFieldID(model_cls, "numThreads", "I");
   ans.model.num_threads = env->GetIntField(model, fid);
 

sherpa-onnx/python/csrc/audio-tagging.cc

@@ -27,10 +27,11 @@ static void PybindAudioTaggingModelConfig(py::module *m) {
 
   py::class_<PyClass>(*m, "AudioTaggingModelConfig")
       .def(py::init<>())
-      .def(py::init<const OfflineZipformerAudioTaggingModelConfig &, int32_t,
-                    bool, const std::string &>(),
-           py::arg("zipformer"), py::arg("num_threads") = 1,
-           py::arg("debug") = false, py::arg("provider") = "cpu")
+      .def(py::init<const OfflineZipformerAudioTaggingModelConfig &,
+                    const std::string &, int32_t, bool, const std::string &>(),
+           py::arg("zipformer"), py::arg("ced") = "",
+           py::arg("num_threads") = 1, py::arg("debug") = false,
+           py::arg("provider") = "cpu")
       .def_readwrite("zipformer", &PyClass::zipformer)
       .def_readwrite("num_threads", &PyClass::num_threads)
       .def_readwrite("debug", &PyClass::debug)