Files
Maven/cmd/mavsttd/whisper_handler.go
claude 67decc42f0 sweep: name voice-daemon magic numbers, drop dead keep-alive vars (V-581)
mavsttd/whisper_handler.go: name the no_speech_prob confidence-zeroing
floor (0.9) and the whisper thread count (4), both previously bare
literals with no reason attached.

mavttsd/piper_handler.go: name piper's render rate (22050) and the
canonical wire rate (16000) used by the resampler, instead of repeating
the two numbers inline four times.

mavenclient/main.go: remove the strconv/io/net/time imports and their
`var _ = ...` keep-alive lines — dead weight with no caller, not future
scaffolding.

Behaviour-preserving; no test changed. go test -race ./internal/...
./cmd/... is green.
2026-08-06 03:00:21 +04:00

197 lines
6.2 KiB
Go

package main
/*
#cgo CFLAGS: -I${SRCDIR}/../../deps/include -I${SRCDIR}/../../deps/whisper.cpp/ggml/include
#cgo LDFLAGS: -L${SRCDIR}/../../deps/lib -Wl,-rpath,${SRCDIR}/../../deps/lib -lwhisper -lggml -lggml-base -lggml-cpu -lggml-vulkan -lm -lstdc++ -fopenmp
#include <whisper.h>
#include <stdlib.h>
*/
import "C"
import (
"context"
"fmt"
"log"
"math"
"unsafe"
"github.com/kami/maven/internal/worker"
)
// whisperSampleRate is the rate whisper.cpp requires; the pipeline resamples
// to it before sending, so it's also the rate the silence gate assumes.
const whisperSampleRate = 16000
// whisperThreads — greedy decode is single-pass and this is a laptop CPU
// (homesrv), not a server box; 4 was picked to leave headroom for the rest
// of the daemons sharing the machine, not measured against a latency target.
const whisperThreads = 4
// noSpeechFloor — whisper's own no_speech_prob past this point means the
// segment it transcribed is not speech (the model still emits token
// probabilities for silence/noise, so a high avgLogProb-derived confidence
// can coexist with a segment that should be zero). Read as "at least 90%
// sure this was not speech."
const noSpeechFloor = 0.9
type whisperHandler struct {
ctx *C.struct_whisper_context
minMs int // clips shorter than this are dropped (hallucination bait)
minRMS float64 // clips quieter than this (normalized RMS) are treated as silence
}
func newWhisperHandler(modelPath string, minMs int, minRMS float64) (*whisperHandler, error) {
cparams := C.whisper_context_default_params()
cPath := C.CString(modelPath)
defer C.free(unsafe.Pointer(cPath))
ctx := C.whisper_init_from_file_with_params(cPath, cparams)
if ctx == nil {
return nil, fmt.Errorf("whisper: failed to init from %s", modelPath)
}
return &whisperHandler{ctx: ctx, minMs: minMs, minRMS: minRMS}, nil
}
// gateReason returns a non-empty reason when audio must NOT reach whisper:
// too short, or below the energy floor (silence / room noise). Whisper
// hallucinates subtitle-credit boilerplate ("Редактор субтитров …",
// "Субтитры сделал …") on non-speech input, so we drop it before the model
// ever sees it. Pure (no CGo) so it's unit-tested directly.
//
// ponytail: plain RMS energy + min-duration, not a real VAD. The mic floor is
// hardware-specific (both thresholds are flags on mavsttd) — upgrade to WebRTC
// VAD / whisper's no_speech_prob if energy gating proves too blunt.
func gateReason(samples []float32, rate, minMs int, minRMS float64) string {
if len(samples) == 0 {
return "empty"
}
if ms := len(samples) * 1000 / rate; ms < minMs {
return fmt.Sprintf("too short (%dms < %dms)", ms, minMs)
}
var sum float64
for _, s := range samples {
sum += float64(s) * float64(s)
}
if rms := math.Sqrt(sum / float64(len(samples))); rms < minRMS {
return fmt.Sprintf("silence (rms %.4f < floor %.4f)", rms, minRMS)
}
return ""
}
// pcmSamples converts canonical s16le little-endian PCM to the float32 range
// whisper wants. Shared with the golden tests: they used to carry their own
// copy, so a regression here (a /32767 divisor, a byte order slip) left the
// assertion that the fixtures clear the silence gate green.
func pcmSamples(b []byte) []float32 {
out := make([]float32, len(b)/2)
for i := range out {
s := int16(b[i*2]) | int16(b[i*2+1])<<8
out[i] = float32(s) / 32768.0
}
return out
}
func (h *whisperHandler) Transcribe(ctx context.Context, req worker.TranscribeReq) (worker.TranscribeResp, error) {
if err := ctx.Err(); err != nil {
return worker.TranscribeResp{}, fmt.Errorf("whisper: context done before transcribe: %w", err)
}
a := req.Audio
if len(a.Bytes) == 0 {
return worker.TranscribeResp{}, fmt.Errorf("whisper: empty audio")
}
samples := pcmSamples(a.Bytes)
// Silence gate: drop non-speech before whisper hallucinates on it.
if reason := gateReason(samples, whisperSampleRate, h.minMs, h.minRMS); reason != "" {
log.Printf("mavsttd: gated audio (%s) — skipping whisper", reason)
return worker.TranscribeResp{Text: "", Confidence: 0}, nil
}
params := C.whisper_full_default_params(C.WHISPER_SAMPLING_GREEDY)
params.print_progress = false
params.print_realtime = false
params.print_timestamps = false
params.print_special = false
params.n_threads = C.int(whisperThreads)
params.single_segment = true
lang := C.CString(req.Lang)
defer C.free(unsafe.Pointer(lang))
params.language = lang
params.detect_language = false
// CGo blocks the goroutine; whisper has no portable CGo-friendly abort
// callback. Run in a goroutine so the caller's context cancellation at
// least returns promptly — the CGo goroutine leaks until whisper finishes
// but the caller doesn't hang.
type result struct {
code int
}
ch := make(chan result, 1)
cSamples := (*C.float)(unsafe.Pointer(&samples[0]))
go func() {
ch <- result{code: int(C.whisper_full(h.ctx, params, cSamples, C.int(len(samples))))}
}()
select {
case r := <-ch:
if r.code != 0 {
return worker.TranscribeResp{}, fmt.Errorf("whisper: full failed: %d", r.code)
}
case <-ctx.Done():
return worker.TranscribeResp{}, fmt.Errorf("whisper: %w", ctx.Err())
}
nSegments := int(C.whisper_full_n_segments(h.ctx))
if nSegments == 0 {
return worker.TranscribeResp{Text: "", Confidence: 0}, nil
}
var text string
totalLogProb := float64(0)
totalTokens := 0
for i := 0; i < nSegments; i++ {
cSeg := C.whisper_full_get_segment_text(h.ctx, C.int(i))
if cSeg != nil {
text += C.GoString(cSeg)
}
nTokens := int(C.whisper_full_n_tokens(h.ctx, C.int(i)))
for j := 0; j < nTokens; j++ {
p := float64(C.whisper_full_get_token_p(h.ctx, C.int(i), C.int(j)))
if p > 0 {
totalLogProb += math.Log(p)
totalTokens++
}
}
}
confidence := 0.0
if totalTokens > 0 {
avgLogProb := totalLogProb / float64(totalTokens)
confidence = math.Exp(avgLogProb)
}
noSpeechProb := float64(C.whisper_full_get_segment_no_speech_prob(h.ctx, 0))
if noSpeechProb > noSpeechFloor {
confidence = 0
}
if math.IsNaN(confidence) || math.IsInf(confidence, 0) {
confidence = 0
}
return worker.TranscribeResp{
Text: text,
Confidence: confidence,
}, nil
}
func (h *whisperHandler) Close() {
if h.ctx != nil {
C.whisper_free(h.ctx)
h.ctx = nil
}
}