Go API for speaker diarization (#1403)
This commit is contained in:
44
.github/workflows/test-go-package.yaml
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44
.github/workflows/test-go-package.yaml
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@@ -68,6 +68,50 @@ jobs:
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run: |
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gcc --version
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- name: Test non-streaming speaker diarization
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if: matrix.os != 'windows-latest'
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shell: bash
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run: |
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cd go-api-examples/non-streaming-speaker-diarization/
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./run.sh
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- name: Test non-streaming speaker diarization
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if: matrix.os == 'windows-latest' && matrix.arch == 'x64'
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shell: bash
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run: |
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cd go-api-examples/non-streaming-speaker-diarization/
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go mod tidy
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cat go.mod
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go build
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echo $PWD
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ls -lh /C/Users/runneradmin/go/pkg/mod/github.com/k2-fsa/
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ls -lh /C/Users/runneradmin/go/pkg/mod/github.com/k2-fsa/*
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cp -v /C/Users/runneradmin/go/pkg/mod/github.com/k2-fsa/sherpa-onnx-go-windows*/lib/x86_64-pc-windows-gnu/*.dll .
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./run.sh
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- name: Test non-streaming speaker diarization
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if: matrix.os == 'windows-latest' && matrix.arch == 'x86'
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shell: bash
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run: |
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cd go-api-examples/non-streaming-speaker-diarization/
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go env GOARCH
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go env -w GOARCH=386
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go env -w CGO_ENABLED=1
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go mod tidy
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cat go.mod
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go build
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echo $PWD
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ls -lh /C/Users/runneradmin/go/pkg/mod/github.com/k2-fsa/
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ls -lh /C/Users/runneradmin/go/pkg/mod/github.com/k2-fsa/*
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cp -v /C/Users/runneradmin/go/pkg/mod/github.com/k2-fsa/sherpa-onnx-go-windows*/lib/i686-pc-windows-gnu/*.dll .
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./run.sh
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- name: Test streaming HLG decoding (Linux/macOS)
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if: matrix.os != 'windows-latest'
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shell: bash
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6
.github/workflows/test-go.yaml
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6
.github/workflows/test-go.yaml
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@@ -134,6 +134,12 @@ jobs:
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name: ${{ matrix.os }}-libs
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path: to-upload/
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- name: Test non-streaming speaker diarization
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shell: bash
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run: |
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cd scripts/go/_internal/non-streaming-speaker-diarization/
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./run.sh
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- name: Test speaker identification
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shell: bash
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run: |
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3
go-api-examples/non-streaming-speaker-diarization/go.mod
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3
go-api-examples/non-streaming-speaker-diarization/go.mod
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@@ -0,0 +1,3 @@
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module non-streaming-speaker-diarization
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go 1.12
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87
go-api-examples/non-streaming-speaker-diarization/main.go
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87
go-api-examples/non-streaming-speaker-diarization/main.go
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@@ -0,0 +1,87 @@
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package main
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import (
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sherpa "github.com/k2-fsa/sherpa-onnx-go/sherpa_onnx"
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"log"
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)
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/*
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Usage:
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Step 1: Download a speaker segmentation model
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Please visit https://github.com/k2-fsa/sherpa-onnx/releases/tag/speaker-segmentation-models
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for a list of available models. The following is an example
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wget https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-segmentation-models/sherpa-onnx-pyannote-segmentation-3-0.tar.bz2
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tar xvf sherpa-onnx-pyannote-segmentation-3-0.tar.bz2
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rm sherpa-onnx-pyannote-segmentation-3-0.tar.bz2
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Step 2: Download a speaker embedding extractor model
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Please visit https://github.com/k2-fsa/sherpa-onnx/releases/tag/speaker-recongition-models
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for a list of available models. The following is an example
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wget https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-recongition-models/3dspeaker_speech_eres2net_base_sv_zh-cn_3dspeaker_16k.onnx
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Step 3. Download test wave files
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Please visit https://github.com/k2-fsa/sherpa-onnx/releases/tag/speaker-segmentation-models
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for a list of available test wave files. The following is an example
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wget https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-segmentation-models/0-four-speakers-zh.wav
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Step 4. Run it
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*/
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func initSpeakerDiarization() *sherpa.OfflineSpeakerDiarization {
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config := sherpa.OfflineSpeakerDiarizationConfig{}
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config.Segmentation.Pyannote.Model = "./sherpa-onnx-pyannote-segmentation-3-0/model.onnx"
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config.Embedding.Model = "./3dspeaker_speech_eres2net_base_sv_zh-cn_3dspeaker_16k.onnx"
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// The test wave file contains 4 speakers, so we use 4 here
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config.Clustering.NumClusters = 4
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// if you don't know the actual numbers in the wave file,
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// then please don't set NumClusters; you need to use
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//
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// config.Clustering.Threshold = 0.5
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//
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// A larger Threshold leads to fewer clusters
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// A smaller Threshold leads to more clusters
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sd := sherpa.NewOfflineSpeakerDiarization(&config)
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return sd
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}
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func main() {
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wave_filename := "./0-four-speakers-zh.wav"
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wave := sherpa.ReadWave(wave_filename)
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if wave == nil {
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log.Printf("Failed to read %v", wave_filename)
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return
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}
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sd := initSpeakerDiarization()
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if sd == nil {
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log.Printf("Please check your config")
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return
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}
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defer sherpa.DeleteOfflineSpeakerDiarization(sd)
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if wave.SampleRate != sd.SampleRate() {
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log.Printf("Expected sample rate: %v, given: %d\n", sd.SampleRate(), wave.SampleRate)
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return
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}
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log.Println("Started")
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segments := sd.Process(wave.Samples)
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n := len(segments)
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for i := 0; i < n; i++ {
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log.Printf("%.3f -- %.3f speaker_%02d\n", segments[i].Start, segments[i].End, segments[i].Speaker)
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}
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}
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20
go-api-examples/non-streaming-speaker-diarization/run.sh
Executable file
20
go-api-examples/non-streaming-speaker-diarization/run.sh
Executable file
@@ -0,0 +1,20 @@
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#!/usr/bin/env bash
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if [ ! -f ./sherpa-onnx-pyannote-segmentation-3-0/model.onnx ]; then
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curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-segmentation-models/sherpa-onnx-pyannote-segmentation-3-0.tar.bz2
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tar xvf sherpa-onnx-pyannote-segmentation-3-0.tar.bz2
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rm sherpa-onnx-pyannote-segmentation-3-0.tar.bz2
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fi
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if [ ! -f ./3dspeaker_speech_eres2net_base_sv_zh-cn_3dspeaker_16k.onnx ]; then
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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
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fi
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if [ ! -f ./0-four-speakers-zh.wav ]; then
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curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-segmentation-models/0-four-speakers-zh.wav
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fi
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go mod tidy
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go build
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./non-streaming-speaker-diarization
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@@ -0,0 +1,5 @@
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module non-streaming-speaker-diarization
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go 1.12
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replace github.com/k2-fsa/sherpa-onnx-go/sherpa_onnx => ../
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1
scripts/go/_internal/non-streaming-speaker-diarization/main.go
Symbolic link
1
scripts/go/_internal/non-streaming-speaker-diarization/main.go
Symbolic link
@@ -0,0 +1 @@
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../../../../go-api-examples/non-streaming-speaker-diarization/main.go
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1
scripts/go/_internal/non-streaming-speaker-diarization/run.sh
Symbolic link
1
scripts/go/_internal/non-streaming-speaker-diarization/run.sh
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@@ -0,0 +1 @@
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../../../../go-api-examples/non-streaming-speaker-diarization/run.sh
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@@ -1175,7 +1175,14 @@ func ReadWave(filename string) *Wave {
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w := C.SherpaOnnxReadWave(s)
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defer C.SherpaOnnxFreeWave(w)
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if w == nil {
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return nil
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}
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n := int(w.num_samples)
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if n == 0 {
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return nil
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}
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ans := &Wave{}
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ans.SampleRate = int(w.sample_rate)
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@@ -1189,3 +1196,114 @@ func ReadWave(filename string) *Wave {
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return ans
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}
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// ============================================================
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// For offline speaker diarization
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// ============================================================
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type OfflineSpeakerSegmentationPyannoteModelConfig struct {
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Model string
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}
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type OfflineSpeakerSegmentationModelConfig struct {
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Pyannote OfflineSpeakerSegmentationPyannoteModelConfig
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NumThreads int
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Debug int
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Provider string
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}
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type FastClusteringConfig struct {
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NumClusters int
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Threshold float32
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}
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type OfflineSpeakerDiarizationConfig struct {
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Segmentation OfflineSpeakerSegmentationModelConfig
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Embedding SpeakerEmbeddingExtractorConfig
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Clustering FastClusteringConfig
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MinDurationOn float32
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MinDurationOff float32
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}
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type OfflineSpeakerDiarization struct {
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impl *C.struct_SherpaOnnxOfflineSpeakerDiarization
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}
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func DeleteOfflineSpeakerDiarization(sd *OfflineSpeakerDiarization) {
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C.SherpaOnnxDestroyOfflineSpeakerDiarization(sd.impl)
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sd.impl = nil
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}
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func NewOfflineSpeakerDiarization(config *OfflineSpeakerDiarizationConfig) *OfflineSpeakerDiarization {
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c := C.struct_SherpaOnnxOfflineSpeakerDiarizationConfig{}
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c.segmentation.pyannote.model = C.CString(config.Segmentation.Pyannote.Model)
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defer C.free(unsafe.Pointer(c.segmentation.pyannote.model))
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c.segmentation.num_threads = C.int(config.Segmentation.NumThreads)
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c.segmentation.debug = C.int(config.Segmentation.Debug)
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c.segmentation.provider = C.CString(config.Segmentation.Provider)
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defer C.free(unsafe.Pointer(c.segmentation.provider))
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c.embedding.model = C.CString(config.Embedding.Model)
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defer C.free(unsafe.Pointer(c.embedding.model))
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c.embedding.num_threads = C.int(config.Embedding.NumThreads)
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c.embedding.debug = C.int(config.Embedding.Debug)
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c.embedding.provider = C.CString(config.Embedding.Provider)
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defer C.free(unsafe.Pointer(c.embedding.provider))
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c.clustering.num_clusters = C.int(config.Clustering.NumClusters)
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c.clustering.threshold = C.float(config.Clustering.Threshold)
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c.min_duration_on = C.float(config.MinDurationOn)
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c.min_duration_off = C.float(config.MinDurationOff)
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p := C.SherpaOnnxCreateOfflineSpeakerDiarization(&c)
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if p == nil {
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return nil
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}
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sd := &OfflineSpeakerDiarization{}
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sd.impl = p
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return sd
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}
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func (sd *OfflineSpeakerDiarization) SampleRate() int {
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return int(C.SherpaOnnxOfflineSpeakerDiarizationGetSampleRate(sd.impl))
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}
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type OfflineSpeakerDiarizationSegment struct {
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Start float32
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End float32
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Speaker int
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}
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func (sd *OfflineSpeakerDiarization) Process(samples []float32) []OfflineSpeakerDiarizationSegment {
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r := C.SherpaOnnxOfflineSpeakerDiarizationProcess(sd.impl, (*C.float)(&samples[0]), C.int(len(samples)))
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defer C.SherpaOnnxOfflineSpeakerDiarizationDestroyResult(r)
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n := int(C.SherpaOnnxOfflineSpeakerDiarizationResultGetNumSegments(r))
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if n == 0 {
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return nil
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}
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s := C.SherpaOnnxOfflineSpeakerDiarizationResultSortByStartTime(r)
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defer C.SherpaOnnxOfflineSpeakerDiarizationDestroySegment(s)
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ans := make([]OfflineSpeakerDiarizationSegment, n)
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p := (*[1 << 28]C.struct_SherpaOnnxOfflineSpeakerDiarizationSegment)(unsafe.Pointer(s))[:n:n]
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for i := 0; i < n; i++ {
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ans[i].Start = float32(p[i].start)
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ans[i].End = float32(p[i].end)
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ans[i].Speaker = int(p[i].speaker)
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}
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return ans
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}
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