Fangjun Kuang
Committed by GitHub

Add Go API for speaker identification (#718)

... ... @@ -66,6 +66,12 @@ jobs:
run: |
gcc --version
- name: Test speaker identification
shell: bash
run: |
cd go-api-examples/speaker-identification
./run.sh
- name: Test non-streaming TTS (Linux/macOS)
if: matrix.os != 'windows-latest'
shell: bash
... ...
... ... @@ -74,6 +74,12 @@ jobs:
go mod tidy
go build
- name: Test speaker identification
shell: bash
run: |
cd scripts/go/_internal/speaker-identification/
./run.sh
- name: Test non-streaming TTS (macOS)
shell: bash
run: |
... ...
... ... @@ -88,3 +88,5 @@ vits-mms-*
*.tar.bz2
sherpa-onnx-paraformer-trilingual-zh-cantonese-en
sr-data
*xcworkspace/xcuserdata/*
... ...
... ... @@ -26,4 +26,8 @@ for details.
- [./vad-spoken-language-identification](./vad-spoken-language-identification) It shows how to use silero VAD + Whisper
for spoken language identification.
- [./speaker-identification](./speaker-identification) It shows how to use Go API for speaker identification.
- [./vad-speaker-identification](./vad-speaker-identification) It shows how to use Go API for VAD + speaker identification.
[sherpa-onnx]: https://github.com/k2-fsa/sherpa-onnx
... ...
module speaker-identification
go 1.12
... ...
package main
import (
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 = 1
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 main() {
log.SetFlags(log.LstdFlags | log.Lmicroseconds)
ex := createSpeakerEmbeddingExtractor()
defer sherpa.DeleteSpeakerEmbeddingExtractor(ex)
manager := sherpa.NewSpeakerEmbeddingManager(ex.Dim())
defer sherpa.DeleteSpeakerEmbeddingManager(manager)
registerSpeakers(ex, manager)
// Please download the test data from
// https://github.com/csukuangfj/sr-data
test1 := "./sr-data/test/fangjun-test-sr-1.wav"
embeddings := computeEmbeddings(ex, []string{test1})[0]
threshold := float32(0.6)
name := manager.Search(embeddings, threshold)
if len(name) > 0 {
log.Printf("%v matches %v", test1, name)
} else {
log.Printf("No matches found for %v", test1)
}
test2 := "./sr-data/test/leijun-test-sr-1.wav"
embeddings = computeEmbeddings(ex, []string{test2})[0]
name = manager.Search(embeddings, threshold)
if len(name) > 0 {
log.Printf("%v matches %v", test2, name)
} else {
log.Printf("No matches found for %v", test2)
}
test3 := "./sr-data/test/liudehua-test-sr-1.wav"
embeddings = computeEmbeddings(ex, []string{test3})[0]
name = manager.Search(embeddings, threshold)
if len(name) > 0 {
log.Printf("%v matches %v", test3, name)
} else {
log.Printf("No matches found for %v", test3)
}
if !manager.Remove("fangjun") {
panic("Failed to deregister fangjun")
} else {
log.Print("fangjun deregistered\n")
}
test1 = "./sr-data/test/fangjun-test-sr-1.wav"
embeddings = computeEmbeddings(ex, []string{test1})[0]
name = manager.Search(embeddings, threshold)
if len(name) > 0 {
log.Printf("%v matches %v", test1, name)
} else {
log.Printf("No matches found for %v", test1)
}
}
func chk(err error) {
if err != nil {
panic(err)
}
}
... ...
#!/usr/bin/env bash
if [ ! -f ./3dspeaker_speech_campplus_sv_zh-cn_16k-common.onnx ]; then
curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-recongition-models/3dspeaker_speech_campplus_sv_zh-cn_16k-common.onnx
fi
if [ ! -f ./sr-data/enroll/fangjun-sr-1.wav ]; then
git clone https://github.com/csukuangfj/sr-data
fi
go mod tidy
go build
./speaker-identification
... ...
... ... @@ -104,7 +104,7 @@ func main() {
duration := float32(len(speechSegment.Samples)) / float32(config.SampleRate)
audio := &sherpa.GeneratedAudio{}
audio := &sherpa.Wave{}
audio.Samples = speechSegment.Samples
audio.SampleRate = config.SampleRate
... ... @@ -120,7 +120,7 @@ func main() {
chk(s.Stop())
}
func decode(recognizer *sherpa.OfflineRecognizer, audio *sherpa.GeneratedAudio, id int) {
func decode(recognizer *sherpa.OfflineRecognizer, audio *sherpa.Wave, id int) {
stream := sherpa.NewOfflineStream(recognizer)
defer sherpa.DeleteOfflineStream(stream)
stream.AcceptWaveform(audio.SampleRate, audio.Samples)
... ...
... ... @@ -102,7 +102,7 @@ func main() {
duration := float32(len(speechSegment.Samples)) / float32(config.SampleRate)
audio := &sherpa.GeneratedAudio{}
audio := &sherpa.Wave{}
audio.Samples = speechSegment.Samples
audio.SampleRate = config.SampleRate
... ... @@ -118,7 +118,7 @@ func main() {
chk(s.Stop())
}
func decode(recognizer *sherpa.OfflineRecognizer, audio *sherpa.GeneratedAudio, id int) {
func decode(recognizer *sherpa.OfflineRecognizer, audio *sherpa.Wave, id int) {
stream := sherpa.NewOfflineStream(recognizer)
defer sherpa.DeleteOfflineStream(stream)
stream.AcceptWaveform(audio.SampleRate, audio.Samples)
... ...
module vad-speaker-identification
go 1.12
... ...
package main
import (
"fmt"
"github.com/gordonklaus/portaudio"
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/blob/master/files/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")
}
... ...
#!/usr/bin/env bash
if [ ! -f ./3dspeaker_speech_campplus_sv_zh-cn_16k-common.onnx ]; then
curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-recongition-models/3dspeaker_speech_campplus_sv_zh-cn_16k-common.onnx
fi
if [ ! -f ./sr-data/enroll/fangjun-sr-1.wav ]; then
git clone https://github.com/csukuangfj/sr-data
fi
go mod tidy
go build
./speaker-identification
... ...
... ... @@ -99,7 +99,7 @@ func main() {
duration := float32(len(speechSegment.Samples)) / float32(config.SampleRate)
audio := &sherpa.GeneratedAudio{}
audio := &sherpa.Wave{}
audio.Samples = speechSegment.Samples
audio.SampleRate = config.SampleRate
... ... @@ -115,7 +115,7 @@ func main() {
chk(s.Stop())
}
func decode(slid *sherpa.SpokenLanguageIdentification, audio *sherpa.GeneratedAudio, id int) {
func decode(slid *sherpa.SpokenLanguageIdentification, audio *sherpa.Wave, id int) {
stream := slid.CreateStream()
defer sherpa.DeleteOfflineStream(stream)
... ...
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
<key>SchemeUserState</key>
<dict>
<key>SherpaOnnx.xcscheme_^#shared#^_</key>
<dict>
<key>orderHint</key>
<integer>0</integer>
</dict>
</dict>
</dict>
</plist>
module speaker-identification
go 1.12
replace github.com/k2-fsa/sherpa-onnx-go/sherpa_onnx => ../
... ...
../../../../go-api-examples/speaker-identification/main.go
\ No newline at end of file
... ...
../../../../go-api-examples/speaker-identification/run.sh
\ No newline at end of file
... ...
... ... @@ -3,8 +3,3 @@ module vad-asr-paraformer
go 1.12
replace github.com/k2-fsa/sherpa-onnx-go/sherpa_onnx => ../
require (
github.com/gordonklaus/portaudio v0.0.0-20230709114228-aafa478834f5
github.com/k2-fsa/sherpa-onnx-go/sherpa_onnx v0.0.0-00010101000000-000000000000
)
... ...
module vad-speaker-identification
go 1.12
replace github.com/k2-fsa/sherpa-onnx-go/sherpa_onnx => ../
... ...
../../../../go-api-examples/vad-speaker-identification/main.go
\ No newline at end of file
... ...
../../../../go-api-examples/vad-speaker-identification/run.sh
\ No newline at end of file
... ...
... ... @@ -746,11 +746,11 @@ func (vad *VoiceActivityDetector) AcceptWaveform(samples []float32) {
}
func (vad *VoiceActivityDetector) IsEmpty() bool {
return 1 == int(C.SherpaOnnxVoiceActivityDetectorEmpty(vad.impl))
return int(C.SherpaOnnxVoiceActivityDetectorEmpty(vad.impl)) == 1
}
func (vad *VoiceActivityDetector) IsSpeech() bool {
return 1 == int(C.SherpaOnnxVoiceActivityDetectorDetected(vad.impl))
return int(C.SherpaOnnxVoiceActivityDetectorDetected(vad.impl)) == 1
}
func (vad *VoiceActivityDetector) Pop() {
... ... @@ -852,3 +852,204 @@ func (slid *SpokenLanguageIdentification) Compute(stream *OfflineStream) *Spoken
return ans
}
// ============================================================
// For speaker embedding extraction
// ============================================================
type SpeakerEmbeddingExtractorConfig struct {
Model string
NumThreads int
Debug int
Provider string
}
type SpeakerEmbeddingExtractor struct {
impl *C.struct_SherpaOnnxSpeakerEmbeddingExtractor
}
// The user has to invoke [DeleteSpeakerEmbeddingExtractor]() to free the returned value
// to avoid memory leak
func NewSpeakerEmbeddingExtractor(config *SpeakerEmbeddingExtractorConfig) *SpeakerEmbeddingExtractor {
c := C.struct_SherpaOnnxSpeakerEmbeddingExtractorConfig{}
c.model = C.CString(config.Model)
defer C.free(unsafe.Pointer(c.model))
c.num_threads = C.int(config.NumThreads)
c.debug = C.int(config.Debug)
c.provider = C.CString(config.Provider)
defer C.free(unsafe.Pointer(c.provider))
ex := &SpeakerEmbeddingExtractor{}
ex.impl = C.SherpaOnnxCreateSpeakerEmbeddingExtractor(&c)
return ex
}
func DeleteSpeakerEmbeddingExtractor(ex *SpeakerEmbeddingExtractor) {
C.SherpaOnnxDestroySpeakerEmbeddingExtractor(ex.impl)
ex.impl = nil
}
func (ex *SpeakerEmbeddingExtractor) Dim() int {
return int(C.SherpaOnnxSpeakerEmbeddingExtractorDim(ex.impl))
}
// The user is responsible to invoke [DeleteOnlineStream]() to free
// the returned stream to avoid memory leak
func (ex *SpeakerEmbeddingExtractor) CreateStream() *OnlineStream {
stream := &OnlineStream{}
stream.impl = C.SherpaOnnxSpeakerEmbeddingExtractorCreateStream(ex.impl)
return stream
}
func (ex *SpeakerEmbeddingExtractor) IsReady(stream *OnlineStream) bool {
return int(C.SherpaOnnxSpeakerEmbeddingExtractorIsReady(ex.impl, stream.impl)) == 1
}
func (ex *SpeakerEmbeddingExtractor) Compute(stream *OnlineStream) []float32 {
embedding := C.SherpaOnnxSpeakerEmbeddingExtractorComputeEmbedding(ex.impl, stream.impl)
defer C.SherpaOnnxSpeakerEmbeddingExtractorDestroyEmbedding(embedding)
n := ex.Dim()
ans := make([]float32, n)
// see https://stackoverflow.com/questions/48756732/what-does-1-30c-yourtype-do-exactly-in-cgo
// :n:n means 0:n:n, means low:high:capacity
c := (*[1 << 28]C.float)(unsafe.Pointer(embedding))[:n:n]
for i := 0; i < n; i++ {
ans[i] = float32(c[i])
}
return ans
}
type SpeakerEmbeddingManager struct {
impl *C.struct_SherpaOnnxSpeakerEmbeddingManager
}
// The user has to invoke [DeleteSpeakerEmbeddingManager]() to free the returned
// value to avoid memory leak
func NewSpeakerEmbeddingManager(dim int) *SpeakerEmbeddingManager {
m := &SpeakerEmbeddingManager{}
m.impl = C.SherpaOnnxCreateSpeakerEmbeddingManager(C.int(dim))
return m
}
func DeleteSpeakerEmbeddingManager(m *SpeakerEmbeddingManager) {
C.SherpaOnnxDestroySpeakerEmbeddingManager(m.impl)
m.impl = nil
}
func (m *SpeakerEmbeddingManager) Register(name string, embedding []float32) bool {
s := C.CString(name)
defer C.free(unsafe.Pointer(s))
return C.int(C.SherpaOnnxSpeakerEmbeddingManagerAdd(m.impl, s, (*C.float)(&embedding[0]))) == 1
}
func (m *SpeakerEmbeddingManager) RegisterV(name string, embeddings [][]float32) bool {
s := C.CString(name)
defer C.free(unsafe.Pointer(s))
if len(embeddings) == 0 {
return false
}
dim := len(embeddings[0])
v := make([]float32, 0, dim*len(embeddings))
for _, embedding := range embeddings {
v = append(v, embedding...)
}
return C.int(C.SherpaOnnxSpeakerEmbeddingManagerAddListFlattened(m.impl, s, (*C.float)(&v[0]), C.int(len(embeddings)))) == 1
}
func (m *SpeakerEmbeddingManager) Remove(name string) bool {
s := C.CString(name)
defer C.free(unsafe.Pointer(s))
return C.int(C.SherpaOnnxSpeakerEmbeddingManagerRemove(m.impl, s)) == 1
}
func (m *SpeakerEmbeddingManager) Search(embedding []float32, threshold float32) string {
var s string
name := C.SherpaOnnxSpeakerEmbeddingManagerSearch(m.impl, (*C.float)(&embedding[0]), C.float(threshold))
defer C.SherpaOnnxSpeakerEmbeddingManagerFreeSearch(name)
if name != nil {
s = C.GoString(name)
}
return s
}
func (m *SpeakerEmbeddingManager) Verify(name string, embedding []float32, threshold float32) bool {
s := C.CString(name)
defer C.free(unsafe.Pointer(s))
return C.int(C.SherpaOnnxSpeakerEmbeddingManagerVerify(m.impl, s, (*C.float)(&embedding[0]), C.float(threshold))) == 1
}
func (m *SpeakerEmbeddingManager) Contains(name string) bool {
s := C.CString(name)
defer C.free(unsafe.Pointer(s))
return C.int(C.SherpaOnnxSpeakerEmbeddingManagerContains(m.impl, s)) == 1
}
func (m *SpeakerEmbeddingManager) NumSpeakers() int {
return int(C.SherpaOnnxSpeakerEmbeddingManagerNumSpeakers(m.impl))
}
func (m *SpeakerEmbeddingManager) AllSpeakers() []string {
all_speakers := C.SherpaOnnxSpeakerEmbeddingManagerGetAllSpeakers(m.impl)
defer C.SherpaOnnxSpeakerEmbeddingManagerFreeAllSpeakers(all_speakers)
n := m.NumSpeakers()
if n == 0 {
return nil
}
// https://stackoverflow.com/questions/62012070/convert-array-of-strings-from-cgo-in-go
p := (*[1 << 28]*C.char)(unsafe.Pointer(all_speakers))[:n:n]
ans := make([]string, n)
for i := 0; i < n; i++ {
ans[i] = C.GoString(p[i])
}
return ans
}
// Wave
// single channel wave
type Wave = GeneratedAudio
func ReadWave(filename string) *Wave {
s := C.CString(filename)
defer C.free(unsafe.Pointer(s))
w := C.SherpaOnnxReadWave(s)
defer C.SherpaOnnxFreeWave(w)
n := int(w.num_samples)
ans := &Wave{}
ans.SampleRate = int(w.sample_rate)
samples := (*[1 << 28]C.float)(unsafe.Pointer(w.samples))[:n:n]
ans.Samples = make([]float32, n)
for i := 0; i < n; i++ {
ans.Samples[i] = float32(samples[i])
}
return ans
}
... ...