Hear speech instead of loudness in mavwaked (V-487)

silero-vad replaces the energy threshold when -vad-model points at it.
Everything after the speech decision is the same state machine: the speech
hold, the silence hold, the length cap and the utterance buffer.

The model window is 512 samples and the capture frame is 480, so silero.go
re-chunks across frames. main.go claimed the two matched, which was true of
silero v4.

Stage two, the wake word, is not here. It needs a Russian keyword model that
does not exist yet.
This commit is contained in:
2026-08-09 01:43:32 +04:00
parent 6d5801bb1f
commit a99932b427
6 changed files with 314 additions and 8 deletions
+27 -7
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@@ -5,12 +5,17 @@
// is detected sends it as a PushToTalk frame to the voice server. The reply
// audio is played back through aplay(1).
//
// No wake-word model yet (MVP uses voice-activity-only trigger). The
// SurfaceVoice auth layer caps all commands at L0 (no destructive acts),
// making accidental triggers safe by design. A proper wake-word engine
// (openWakeWord / Silero VAD ONNX) is the planned upgrade — the VAD shape
// (30ms frames, 16kHz PCM) matches silero-vad's input interface exactly, so
// swapping energy-threshold for ONNX-inference is a local change in vad.go.
// Voice activity is silero-vad when -vad-model points at the graph, and an
// energy threshold when it does not. Silero declines noise the threshold
// accepts: 0 frames against 68 to 99 on the four fixtures, measured in
// docs/evals/2026-08-09-silero-vad.md. Note that the model window is 512
// samples and the capture frame is 480, so silero.go re-chunks. This comment
// used to say the two matched, which was true of silero v4.
//
// There is still no wake-word model, so anything spoken near the microphone
// becomes a turn (V-487 stage two). The SurfaceVoice auth layer caps all
// commands at L0 (no destructive acts), which is what makes an accidental
// trigger safe rather than expensive.
//
// While a reply is playing the capture side is muted (half-duplex): without
// it, Maven's own voice comes back in through the mic and she answers
@@ -73,6 +78,9 @@ func run(args []string) error {
bargeIn := flag.Bool("barge-in", false, "cut Maven off when he talks over her (needs a room-tuned -barge-in-rms)")
bargeRMS := flag.Int("barge-in-rms", defaultBargeRMS, "RMS x10000 a frame must clear to count as barge-in")
bargeFrames := flag.Int("barge-in-frames", defaultBargeFrames, "consecutive frames over -barge-in-rms before playback is cut")
vadModel := flag.String("vad-model", "", "silero-vad onnx file; empty runs the energy threshold instead")
vadThreshold := flag.Float64("vad-threshold", defaultSileroThreshold, "speech probability a frame must clear")
onnxLib := flag.String("onnx-lib", os.Getenv("MAVEN_ONNX_LIB"), "libonnxruntime.so, needed with -vad-model")
flag.CommandLine.Parse(args)
ctx, stop := signal.NotifyContext(context.Background(), syscall.SIGINT, syscall.SIGTERM, syscall.SIGHUP)
@@ -82,8 +90,20 @@ func run(args []string) error {
vc := voice.Dial(*addr)
defer vc.Close()
// VAD engine.
// VAD engine. A model that will not load is logged and not fatal: the
// energy threshold is worse, and it is a great deal better than a
// listening client that refuses to start.
vad := NewVAD(*minRMS, *speechMs, *silenceMs, *maxMs)
if *vadModel != "" {
s, err := newSileroVAD(*vadModel, *onnxLib)
if err != nil {
log.Printf("mavwaked: silero unavailable, energy threshold unchanged: %v", err)
} else {
defer s.Close()
vad.UseSilero(s, *vadThreshold)
log.Printf("mavwaked: silero-vad from %s, threshold %.2f", *vadModel, *vadThreshold)
}
}
// Audio source.
var src io.ReadCloser
+171
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@@ -0,0 +1,171 @@
package main
// silero-vad, the speech detector that replaces the energy threshold (V-487).
//
// Why an energy threshold is not a voice activity detector. It answers "is
// this frame loud", and a fan, a door and a television are all loud. mavwaked
// sends every utterance it accepts to speech-to-text and then to the daemon,
// so a false trigger is a turn Maven takes on something nobody said to her.
// Silero answers "is this frame speech", which is the question.
//
// It is 2.3MB of ONNX and runs on one CPU core in real time. That is not an
// aside: this is the one model in the system that may never be offloaded or
// gated on GPU admission, because a wake path that waits on a card is not a
// wake path.
//
// Nil is a working value. Without -vad-model the daemon runs the energy VAD
// exactly as it did before this file existed.
import (
"fmt"
"sync"
ort "github.com/yalue/onnxruntime_go"
)
const (
// sileroWindow — samples per inference at 16kHz. The model is fixed at
// 512 and does not accept another size, which is why this file
// re-chunks rather than reusing the 480-sample capture frame. main.go
// used to claim the two matched; that was true of silero v4.
sileroWindow = 512
// sileroContext — samples of the previous window prepended to each
// inference, as the reference implementation does. Without it the first
// milliseconds of every window are judged with no history and speech
// onsets score low.
sileroContext = 64
// sileroState — the LSTM state carried between windows, [2][1][128].
sileroStateDim = 128
// defaultSileroThreshold — probability above which a window is speech.
// 0.5 is the reference default. Raising it costs speech onsets, which
// are the quietest part of an utterance.
defaultSileroThreshold = 0.5
)
// sileroVAD holds one ONNX session and the streaming state around it. It is
// fed 30ms capture frames and answers per frame, buffering across calls
// because 480 samples never line up with a 512-sample window.
type sileroVAD struct {
mu sync.Mutex
session *ort.DynamicAdvancedSession
pending []float32 // samples not yet part of a full window
context [sileroContext]float32 // tail of the previous window
state []float32 // [2][1][128], carried between windows
last float64 // most recent probability, held between windows
sr []int64
}
// newSileroVAD loads the graph. The ONNX environment is initialised here when
// nothing else has done it, because mavwaked has no embedder to do it first.
func newSileroVAD(modelPath, libPath string) (*sileroVAD, error) {
if !ort.IsInitialized() {
if libPath != "" {
ort.SetSharedLibraryPath(libPath)
}
if err := ort.InitializeEnvironment(); err != nil {
return nil, fmt.Errorf("silero: onnx runtime: %w", err)
}
}
s, err := ort.NewDynamicAdvancedSession(modelPath,
[]string{"input", "state", "sr"}, []string{"output", "stateN"}, nil)
if err != nil {
return nil, fmt.Errorf("silero: load %s: %w", modelPath, err)
}
return &sileroVAD{
session: s,
state: make([]float32, 2*sileroStateDim),
sr: []int64{16000},
}, nil
}
// Speech reports whether the frame carries speech, and the probability behind
// that answer. A frame that completes no window inherits the previous
// probability, so the caller sees one answer per frame either way.
func (s *sileroVAD) Speech(frame []int16, threshold float64) (bool, float64) {
s.mu.Lock()
defer s.mu.Unlock()
for _, v := range frame {
s.pending = append(s.pending, float32(v)/32768.0)
}
for len(s.pending) >= sileroWindow {
p, err := s.infer(s.pending[:sileroWindow])
if err != nil {
// A failed inference must not silence the microphone. Hold the
// last answer and let the next window try again.
break
}
s.last = p
s.pending = s.pending[sileroWindow:]
}
return s.last >= threshold, s.last
}
// infer runs one window and rolls the state and the context forward.
func (s *sileroVAD) infer(window []float32) (float64, error) {
in := make([]float32, sileroContext+sileroWindow)
copy(in, s.context[:])
copy(in[sileroContext:], window)
inT, err := ort.NewTensor(ort.NewShape(1, int64(len(in))), in)
if err != nil {
return 0, err
}
defer inT.Destroy()
stT, err := ort.NewTensor(ort.NewShape(2, 1, sileroStateDim), s.state)
if err != nil {
return 0, err
}
defer stT.Destroy()
srT, err := ort.NewTensor(ort.NewShape(1), s.sr)
if err != nil {
return 0, err
}
defer srT.Destroy()
out, err := ort.NewEmptyTensor[float32](ort.NewShape(1, 1))
if err != nil {
return 0, err
}
defer out.Destroy()
next, err := ort.NewEmptyTensor[float32](ort.NewShape(2, 1, sileroStateDim))
if err != nil {
return 0, err
}
defer next.Destroy()
if err := s.session.Run(
[]ort.Value{inT, stT, srT},
[]ort.Value{out, next},
); err != nil {
return 0, err
}
copy(s.state, next.GetData())
copy(s.context[:], in[len(in)-sileroContext:])
return float64(out.GetData()[0]), nil
}
// Reset drops the streaming state. Called at every utterance boundary and
// after barge-in, so echo-era history never scores the next sentence.
func (s *sileroVAD) Reset() {
s.mu.Lock()
defer s.mu.Unlock()
s.pending = s.pending[:0]
s.context = [sileroContext]float32{}
for i := range s.state {
s.state[i] = 0
}
s.last = 0
}
// Close releases the session.
func (s *sileroVAD) Close() error {
if s == nil || s.session == nil {
return nil
}
return s.session.Destroy()
}
+35 -1
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@@ -68,6 +68,37 @@ type VAD struct {
// follows the room's ambient level. Initialised to minRMS; updated
// on each silence frame.
floorRMS float64
// speech is silero-vad, or nil. When it is set the energy floor decides
// nothing: the question becomes "is this speech" rather than "is this
// loud", and the noise floor is not even tracked. Everything after that
// answer — the speech hold, the silence hold, the length cap, the
// buffer — is the same state machine either way, which is why the
// detector goes here and not around this type.
speech *sileroVAD
speechMin float64
}
// UseSilero swaps the energy threshold for the model. Passing nil is a
// no-op, so a caller that could not load the graph keeps a working VAD.
func (v *VAD) UseSilero(s *sileroVAD, threshold float64) {
if s == nil {
return
}
if threshold <= 0 {
threshold = defaultSileroThreshold
}
v.speech = s
v.speechMin = threshold
}
// isSpeech answers the one question the state machine asks of a frame.
func (v *VAD) isSpeech(frame []int16, rms float64) bool {
if v.speech != nil {
ok, _ := v.speech.Speech(frame, v.speechMin)
return ok
}
return rms >= v.floorRMS
}
// NewVAD creates a VAD with the given thresholds. Zero values use defaults.
@@ -110,7 +141,7 @@ func (v *VAD) State() SpeechState { return v.state }
// should send the audio to the voice server before feeding more frames.
func (v *VAD) Feed(frame []int16) (_ audio.Audio, state SpeechState) {
rms := frameRMS(frame)
isSpeech := rms >= v.floorRMS
isSpeech := v.isSpeech(frame, rms)
switch v.state {
case StateSilence:
@@ -175,6 +206,9 @@ func (v *VAD) Feed(frame []int16) (_ audio.Audio, state SpeechState) {
func (v *VAD) Reset() { v.reset() }
func (v *VAD) reset() {
if v.speech != nil {
v.speech.Reset()
}
v.state = StateSilence
v.speechFrames = 0
v.silenceFrames = 0