This repository has been archived on 2025-08-26. You can view files and clone it, but cannot push or open issues or pull requests.
Files
enginex-mr_series-sherpa-onnx/go-api-examples/vad-speaker-identification/main.go
Fangjun Kuang b5093e27f9 Fix publishing apks to huggingface (#1121)
Save APKs for each release in a separate directory.

Huggingface requires that each directory cannot contain more than 1000 files.

Since we have so many tts models and for each model we need to build APKs of 4 different ABIs,
it is a workaround for the huggingface's constraint by placing them into separate directories for different releases.
2024-07-13 16:14:00 +08:00

222 lines
5.4 KiB
Go

package main
import (
"fmt"
portaudio "github.com/csukuangfj/portaudio-go"
sherpa "github.com/k2-fsa/sherpa-onnx-go/sherpa_onnx"
"log"
)
func createSpeakerEmbeddingExtractor() *sherpa.SpeakerEmbeddingExtractor {
config := sherpa.SpeakerEmbeddingExtractorConfig{}
// Please download the model from
// https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-recongition-models/3dspeaker_speech_campplus_sv_zh-cn_16k-common.onnx
//
// You can find more models at
// https://github.com/k2-fsa/sherpa-onnx/releases/tag/speaker-recongition-models
config.Model = "./3dspeaker_speech_campplus_sv_zh-cn_16k-common.onnx"
config.NumThreads = 2
config.Debug = 1
config.Provider = "cpu"
ex := sherpa.NewSpeakerEmbeddingExtractor(&config)
return ex
}
func computeEmbeddings(ex *sherpa.SpeakerEmbeddingExtractor, files []string) [][]float32 {
embeddings := make([][]float32, len(files))
for i, f := range files {
wave := sherpa.ReadWave(f)
stream := ex.CreateStream()
defer sherpa.DeleteOnlineStream(stream)
stream.AcceptWaveform(wave.SampleRate, wave.Samples)
stream.InputFinished()
embeddings[i] = ex.Compute(stream)
}
return embeddings
}
func registerSpeakers(ex *sherpa.SpeakerEmbeddingExtractor, manager *sherpa.SpeakerEmbeddingManager) {
// Please download the test data from
// https://github.com/csukuangfj/sr-data
spk1_files := []string{
"./sr-data/enroll/fangjun-sr-1.wav",
"./sr-data/enroll/fangjun-sr-2.wav",
"./sr-data/enroll/fangjun-sr-3.wav",
}
spk2_files := []string{
"./sr-data/enroll/leijun-sr-1.wav",
"./sr-data/enroll/leijun-sr-2.wav",
}
spk1_embeddings := computeEmbeddings(ex, spk1_files)
spk2_embeddings := computeEmbeddings(ex, spk2_files)
ok := manager.RegisterV("fangjun", spk1_embeddings)
if !ok {
panic("Failed to register fangjun")
}
ok = manager.RegisterV("leijun", spk2_embeddings)
if !ok {
panic("Failed to register leijun")
}
if !manager.Contains("fangjun") {
panic("Failed to find fangjun")
}
if !manager.Contains("leijun") {
panic("Failed to find leijun")
}
if manager.NumSpeakers() != 2 {
panic("There should be only 2 speakers")
}
all_speakers := manager.AllSpeakers()
log.Printf("All speakers: %v\n", all_speakers)
}
func createVad() *sherpa.VoiceActivityDetector {
config := sherpa.VadModelConfig{}
// Please download silero_vad.onnx from
// https://github.com/snakers4/silero-vad/raw/master/src/silero_vad/data/silero_vad.onnx
config.SileroVad.Model = "./silero_vad.onnx"
config.SileroVad.Threshold = 0.5
config.SileroVad.MinSilenceDuration = 0.5
config.SileroVad.MinSpeechDuration = 0.5
config.SileroVad.WindowSize = 512
config.SampleRate = 16000
config.NumThreads = 1
config.Provider = "cpu"
config.Debug = 1
var bufferSizeInSeconds float32 = 20
vad := sherpa.NewVoiceActivityDetector(&config, bufferSizeInSeconds)
return vad
}
func main() {
log.SetFlags(log.LstdFlags | log.Lmicroseconds)
vad := createVad()
defer sherpa.DeleteVoiceActivityDetector(vad)
ex := createSpeakerEmbeddingExtractor()
defer sherpa.DeleteSpeakerEmbeddingExtractor(ex)
manager := sherpa.NewSpeakerEmbeddingManager(ex.Dim())
defer sherpa.DeleteSpeakerEmbeddingManager(manager)
registerSpeakers(ex, manager)
err := portaudio.Initialize()
if err != nil {
log.Fatalf("Unable to initialize portaudio: %v\n", err)
}
defer portaudio.Terminate()
default_device, err := portaudio.DefaultInputDevice()
if err != nil {
log.Fatal("Failed to get default input device: %v\n", err)
}
log.Printf("Selected default input device: %s\n", default_device.Name)
param := portaudio.StreamParameters{}
param.Input.Device = default_device
param.Input.Channels = 1
param.Input.Latency = default_device.DefaultHighInputLatency
param.SampleRate = 16000
param.FramesPerBuffer = 0
param.Flags = portaudio.ClipOff
// you can choose another value for 0.1 if you want
samplesPerCall := int32(param.SampleRate * 0.1) // 0.1 second
samples := make([]float32, samplesPerCall)
s, err := portaudio.OpenStream(param, samples)
if err != nil {
log.Fatalf("Failed to open the stream")
}
defer s.Close()
chk(s.Start())
log.Print("Started! Please speak")
printed := false
k := 0
for {
chk(s.Read())
vad.AcceptWaveform(samples)
if vad.IsSpeech() && !printed {
printed = true
log.Print("Detected speech\n")
}
if !vad.IsSpeech() {
printed = false
}
for !vad.IsEmpty() {
speechSegment := vad.Front()
vad.Pop()
audio := &sherpa.Wave{}
audio.Samples = speechSegment.Samples
audio.SampleRate = 16000
// Now decode it
go decode(ex, manager, audio, k)
k += 1
}
}
chk(s.Stop())
}
func chk(err error) {
if err != nil {
panic(err)
}
}
func decode(ex *sherpa.SpeakerEmbeddingExtractor, manager *sherpa.SpeakerEmbeddingManager, audio *sherpa.GeneratedAudio, id int) {
stream := ex.CreateStream()
defer sherpa.DeleteOnlineStream(stream)
stream.AcceptWaveform(audio.SampleRate, audio.Samples)
stream.InputFinished()
embeddings := ex.Compute(stream)
threshold := float32(0.5)
name := manager.Search(embeddings, threshold)
if len(name) > 0 {
log.Printf("Found speaker: %v\n", name)
} else {
log.Print("Unknown speaker\n")
name = "Unknown"
}
duration := float32(len(audio.Samples)) / float32(audio.SampleRate)
filename := fmt.Sprintf("seg-%d-%.2f-seconds-%s.wav", id, duration, name)
ok := audio.Save(filename)
if ok {
log.Printf("Saved to %s", filename)
}
log.Print("----------\n")
}