Go API for speaker diarization

.github/workflows/test-go-package.yaml

@@ -68,6 +68,50 @@ jobs:
         run: |
           gcc --version
 
+      - name: Test non-streaming speaker diarization
+        if: matrix.os != 'windows-latest'
+        shell: bash
+        run: |
+          cd go-api-examples/non-streaming-speaker-diarization/
+          ./run.sh
+
+      - name: Test non-streaming speaker diarization
+        if: matrix.os == 'windows-latest' && matrix.arch == 'x64'
+        shell: bash
+        run: |
+          cd go-api-examples/non-streaming-speaker-diarization/
+          go mod tidy
+          cat go.mod
+          go build
+
+          echo $PWD
+          ls -lh /C/Users/runneradmin/go/pkg/mod/github.com/k2-fsa/
+          ls -lh /C/Users/runneradmin/go/pkg/mod/github.com/k2-fsa/*
+          cp -v /C/Users/runneradmin/go/pkg/mod/github.com/k2-fsa/sherpa-onnx-go-windows*/lib/x86_64-pc-windows-gnu/*.dll .
+
+          ./run.sh
+
+      - name: Test non-streaming speaker diarization
+        if: matrix.os == 'windows-latest' && matrix.arch == 'x86'
+        shell: bash
+        run: |
+          cd go-api-examples/non-streaming-speaker-diarization/
+
+          go env GOARCH
+          go env -w GOARCH=386
+          go env -w CGO_ENABLED=1
+
+          go mod tidy
+          cat go.mod
+          go build
+
+          echo $PWD
+          ls -lh /C/Users/runneradmin/go/pkg/mod/github.com/k2-fsa/
+          ls -lh /C/Users/runneradmin/go/pkg/mod/github.com/k2-fsa/*
+          cp -v /C/Users/runneradmin/go/pkg/mod/github.com/k2-fsa/sherpa-onnx-go-windows*/lib/i686-pc-windows-gnu/*.dll .
+
+          ./run.sh
+
       - name: Test streaming HLG decoding (Linux/macOS)
         if: matrix.os != 'windows-latest'
         shell: bash

.github/workflows/test-go.yaml

@@ -134,6 +134,12 @@ jobs:
           name: ${{ matrix.os }}-libs
           path: to-upload/
 
+      - name: Test non-streaming speaker diarization
+        shell: bash
+        run: |
+          cd scripts/go/_internal/non-streaming-speaker-diarization/
+          ./run.sh
+
       - name: Test speaker identification
         shell: bash
         run: |

go-api-examples/non-streaming-speaker-diarization/go.mod

@@ -0,0 +1,3 @@
+module non-streaming-speaker-diarization
+
+go 1.12

go-api-examples/non-streaming-speaker-diarization/main.go

@@ -0,0 +1,82 @@
+package main
+
+import (
+	sherpa "github.com/k2-fsa/sherpa-onnx-go/sherpa_onnx"
+	"log"
+)
+
+/*
+Usage:
+
+Step 1: Download a speaker segmentation model
+
+Please visit https://github.com/k2-fsa/sherpa-onnx/releases/tag/speaker-segmentation-models
+for a list of available models. The following is an example
+
+  wget 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
+
+Step 2: Download a speaker embedding extractor model
+
+Please visit https://github.com/k2-fsa/sherpa-onnx/releases/tag/speaker-recongition-models
+for a list of available models. The following is an example
+
+  wget https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-recongition-models/3dspeaker_speech_eres2net_base_sv_zh-cn_3dspeaker_16k.onnx
+
+Step 3. Download test wave files
+
+Please visit https://github.com/k2-fsa/sherpa-onnx/releases/tag/speaker-segmentation-models
+for a list of available test wave files. The following is an example
+
+  wget https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-segmentation-models/0-four-speakers-zh.wav
+
+Step 4. Run it
+*/
+
+func initSpeakerDiarization() *sherpa.OfflineSpeakerDiarization {
+	config := sherpa.OfflineSpeakerDiarizationConfig{}
+
+	config.Segmentation.Pyannote.Model = "./sherpa-onnx-pyannote-segmentation-3-0/model.onnx"
+	config.Embedding.Model = "./3dspeaker_speech_eres2net_base_sv_zh-cn_3dspeaker_16k.onnx"
+
+	// The test wave file contains 4 speakers, so we use 4 here
+	config.Clustering.NumClusters = 4
+
+	// if you don't know the actual numbers in the wave file,
+	// then please don't set NumClusters; you need to use
+	//
+	// config.Clustering.Threshold = 0.5
+	//
+
+	// A larger Threshold leads to fewer clusters
+	// A smaller Threshold leads to more clusters
+
+	sd := sherpa.NewOfflineSpeakerDiarization(&config)
+	return sd
+}
+
+func main() {
+	wave_filename := "./0-four-speakers-zh.wav"
+	wave := sherpa.ReadWave(wave_filename)
+	if wave == nil {
+		log.Printf("Failed to read %v", wave_filename)
+		return
+	}
+
+	sd := initSpeakerDiarization()
+	if sd == nil {
+		log.Printf("Please check your config")
+		return
+	}
+
+	defer sherpa.DeleteOfflineSpeakerDiarization(sd)
+
+	log.Println("Started")
+	segments := sd.Process(wave.Samples)
+	n := len(segments)
+
+	for i := 0; i < n; i++ {
+		log.Printf("%.3f -- %.3f speaker_%02d\n", segments[i].Start, segments[i].End, segments[i].Speaker)
+	}
+}

go-api-examples/non-streaming-speaker-diarization/run.sh

@@ -0,0 +1,20 @@
+#!/usr/bin/env bash
+
+
+if [ ! -f ./sherpa-onnx-pyannote-segmentation-3-0/model.onnx ]; then
+  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
+fi
+
+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
+
+if [ ! -f ./0-four-speakers-zh.wav ]; then
+  curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-segmentation-models/0-four-speakers-zh.wav
+fi
+
+go mod tidy
+go build
+./non-streaming-speaker-diarization

scripts/go/_internal/non-streaming-speaker-diarization/go.mod

@@ -0,0 +1,5 @@
+module non-streaming-speaker-diarization
+
+go 1.12
+
+replace github.com/k2-fsa/sherpa-onnx-go/sherpa_onnx => ../

scripts/go/_internal/non-streaming-speaker-diarization/main.go

@@ -0,0 +1 @@
+../../../../go-api-examples/non-streaming-speaker-diarization/main.go

scripts/go/_internal/non-streaming-speaker-diarization/run.sh

@@ -0,0 +1 @@
+../../../../go-api-examples/non-streaming-speaker-diarization/run.sh

scripts/go/sherpa_onnx.go

@@ -1175,7 +1175,14 @@ func ReadWave(filename string) *Wave {
 	w := C.SherpaOnnxReadWave(s)
 	defer C.SherpaOnnxFreeWave(w)
 
+	if w == nil {
+		return nil
+	}
+
 	n := int(w.num_samples)
+	if n == 0 {
+		return nil
+	}
 
 	ans := &Wave{}
 	ans.SampleRate = int(w.sample_rate)
@@ -1189,3 +1196,116 @@ func ReadWave(filename string) *Wave {
 
 	return ans
 }
+
+// ============================================================
+// For offline speaker diarization
+// ============================================================
+type OfflineSpeakerSegmentationPyannoteModelConfig struct {
+	Model string
+}
+
+type OfflineSpeakerSegmentationModelConfig struct {
+	Pyannote   OfflineSpeakerSegmentationPyannoteModelConfig
+	NumThreads int
+	Debug      int
+	Provider   string
+}
+
+type FastClusteringConfig struct {
+	NumClusters int
+	Threshold   float32
+}
+
+type OfflineSpeakerDiarizationConfig struct {
+	Segmentation   OfflineSpeakerSegmentationModelConfig
+	Embedding      SpeakerEmbeddingExtractorConfig
+	Clustering     FastClusteringConfig
+	MinDurationOn  float32
+	MinDurationOff float32
+}
+
+type OfflineSpeakerDiarization struct {
+	impl *C.struct_SherpaOnnxOfflineSpeakerDiarization
+}
+
+func DeleteOfflineSpeakerDiarization(sd *OfflineSpeakerDiarization) {
+	C.SherpaOnnxDestroyOfflineSpeakerDiarization(sd.impl)
+	sd.impl = nil
+}
+
+func NewOfflineSpeakerDiarization(config *OfflineSpeakerDiarizationConfig) *OfflineSpeakerDiarization {
+	c := C.struct_SherpaOnnxOfflineSpeakerDiarizationConfig{}
+	c.segmentation.pyannote.model = C.CString(config.Segmentation.Pyannote.Model)
+	defer C.free(unsafe.Pointer(c.segmentation.pyannote.model))
+
+	c.segmentation.num_threads = C.int(config.Segmentation.NumThreads)
+
+	c.segmentation.debug = C.int(config.Segmentation.Debug)
+
+	c.segmentation.provider = C.CString(config.Segmentation.Provider)
+	defer C.free(unsafe.Pointer(c.segmentation.provider))
+
+	c.embedding.model = C.CString(config.Embedding.Model)
+	defer C.free(unsafe.Pointer(c.embedding.model))
+
+	c.embedding.num_threads = C.int(config.Embedding.NumThreads)
+
+	c.embedding.debug = C.int(config.Embedding.Debug)
+
+	c.embedding.provider = C.CString(config.Embedding.Provider)
+	defer C.free(unsafe.Pointer(c.embedding.provider))
+
+	c.clustering.num_clusters = C.int(config.Clustering.NumClusters)
+	c.clustering.threshold = C.float(config.Clustering.Threshold)
+	c.min_duration_on = C.float(config.MinDurationOn)
+	c.min_duration_off = C.float(config.MinDurationOff)
+
+	p := C.SherpaOnnxCreateOfflineSpeakerDiarization(&c)
+
+	if p == nil {
+		return nil
+	}
+
+	sd := &OfflineSpeakerDiarization{}
+	sd.impl = p
+
+	return sd
+}
+
+func (sd *OfflineSpeakerDiarization) SampleRate() int {
+	return int(C.SherpaOnnxOfflineSpeakerDiarizationGetSampleRate(sd.impl))
+}
+
+type OfflineSpeakerDiarizationSegment struct {
+	Start   float32
+	End     float32
+	Speaker int
+}
+
+// The user has to invoke DeleteOfflineSpeakerDiarizationResult() to free the returned
+// pointer to avoid memory leak
+func (sd *OfflineSpeakerDiarization) Process(samples []float32) []OfflineSpeakerDiarizationSegment {
+	r := C.SherpaOnnxOfflineSpeakerDiarizationProcess(sd.impl, (*C.float)(&samples[0]), C.int(len(samples)))
+	defer C.SherpaOnnxOfflineSpeakerDiarizationDestroyResult(r)
+
+	n := int(C.SherpaOnnxOfflineSpeakerDiarizationResultGetNumSegments(r))
+
+	if n == 0 {
+		return nil
+	}
+
+	s := C.SherpaOnnxOfflineSpeakerDiarizationResultSortByStartTime(r)
+	defer C.SherpaOnnxOfflineSpeakerDiarizationDestroySegment(s)
+
+	ans := make([]OfflineSpeakerDiarizationSegment, n)
+
+	p := (*[1 << 28]C.struct_SherpaOnnxOfflineSpeakerDiarizationSegment)(unsafe.Pointer(s))[:n:n]
+
+	for i := 0; i < n; i++ {
+		ans[i].Start = float32(p[i].start)
+		ans[i].End = float32(p[i].end)
+		ans[i].Speaker = int(p[i].speaker)
+	}
+
+	return ans
+}