initial commit: live meeting transcription pipeline
Go orchestrator: spawns audiotee for capture (system audio + mic, two tracks), segments with an energy-threshold VAD, transcribes each segment via qwen-asr (subprocess per segment, vendored as a pinned git submodule in third_party/qwen-asr), and serves the live transcript over SSE while also writing it durably to a text file. Includes a glossary/prompt-leakage guard (internal/asr/leak.go) that discards a segment if the model echoes the biasing prompt instead of transcribing. cmd/transcriptor-ai is the main orchestrator; cmd/transcript-tail is a minimal terminal SSE client. See CLAUDE.md for the full architecture and the reasoning behind each choice (Go over Python/Swift/Rust, SSE over WebSocket, why the VAD is a hand-rolled heuristic, etc). Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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// Package asr transcribes bounded PCM segments via qwen-asr
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// (https://github.com/antirez/qwen-asr), invoked as a one-shot subprocess
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// per segment rather than a long-lived daemon.
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//
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// This was verified empirically, not assumed: `qwen_asr --stdin --stream
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// --silent` does not print incremental partial text as it processes a
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// single stdin stream — it prints only the final transcription once done,
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// even in --stream mode (that flag changes its internal chunked-encoding
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// strategy, not what gets written to stdout). Measured latency including
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// process startup and model load, on the 0.6B model, was ~0.15-0.2x
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// realtime for a ~6s clip — comfortably fast enough to spawn fresh per VAD
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// segment instead of keeping a persistent process fed over a pipe.
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// Our own VAD segment boundaries (internal/vad) are therefore what stands
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// in for "live" here: each vad.Segment.IsFinal maps directly to the
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// SSE message's is_final field described in CLAUDE.md.
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package asr
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import (
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"bytes"
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"context"
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"fmt"
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"os"
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"strconv"
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"strings"
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)
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// Config points at a built qwen_asr binary and a downloaded model
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// directory. Neither has an established default location yet (unlike
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// audiotee's ~/bin convention), so both are required.
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type Config struct {
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BinaryPath string
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ModelDir string
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// Prompt biases transcription toward glossary terms, e.g.
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// "Preserve spelling: Kubernetes, PostgreSQL". Optional.
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Prompt string
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// Threads sets qwen_asr's -t flag. Zero means "let it pick" (all CPUs).
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Threads int
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}
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type Transcriber struct {
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cfg Config
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run runFunc // seam for testing without a real binary
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}
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func New(cfg Config) *Transcriber {
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return &Transcriber{cfg: cfg, run: runCommand}
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}
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// Transcribe runs qwen_asr once against pcm (raw s16le, 16kHz, mono — the
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// format both audiotee and internal/vad produce) and returns the
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// transcribed text, trimmed.
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func (t *Transcriber) Transcribe(ctx context.Context, pcm []byte) (string, error) {
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args := []string{"-d", t.cfg.ModelDir, "--stdin", "--stream", "--silent"}
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if t.cfg.Prompt != "" {
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args = append(args, "--prompt", t.cfg.Prompt)
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}
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if t.cfg.Threads > 0 {
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args = append(args, "-t", strconv.Itoa(t.cfg.Threads))
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}
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stdout, stderr, err := t.run(ctx, t.cfg.BinaryPath, args, pcm)
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if err != nil {
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return "", fmt.Errorf("qwen_asr: %w (stderr: %s)", err, bytes.TrimSpace(stderr))
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}
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text := strings.TrimSpace(string(stdout))
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if looksLikePromptLeak(text, t.cfg.Prompt) {
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// Discard rather than return it as a genuine transcription — see
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// leak.go. Logged here (not just silently dropped) since this
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// package has no structured logger of its own; matches the plain
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// stderr diagnostics the CLI already prints elsewhere.
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fmt.Fprintf(os.Stderr, "asr: discarding segment, looks like a --prompt leak, not a transcription: %q\n", text)
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return "", nil
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}
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return text, nil
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}
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package asr
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import (
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"strings"
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"unicode"
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)
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// looksLikePromptLeak reports whether text appears to be the model echoing
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// the --prompt biasing content back verbatim instead of genuinely
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// transcribing the segment's audio — a known failure mode of
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// prompt-conditioned generation, confirmed via real testing against
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// qwen_asr (see transcriptor-ui/CLAUDE.md, "Glossary prompt-leakage bug"):
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// a whole segment came back as literally the glossary terms, twice, on two
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// separate 5-minute test runs, even after switching to the tool's
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// recommended "Preserve spelling: ..." prompt framing (which reduces but
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// does not eliminate the risk).
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//
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// Heuristic: if most of text's words also appear among prompt's words, and
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// there are enough of them to rule out a legitimate short mention of one
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// or two glossary terms in real speech, treat it as a leak. Both observed
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// real leaks were near-total reproductions of the prompt's term list, so a
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// strict threshold (80% word overlap, at least 4 words) catches them
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// without plausibly false-flagging a normal sentence that happens to
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// mention "Claude" or "Mistral" once — normal speech has enough other
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// words to keep the overlap ratio well below that.
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func looksLikePromptLeak(text, prompt string) bool {
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if prompt == "" || text == "" {
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return false
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}
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textWords := normalizeWords(text)
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if len(textWords) < 4 {
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return false
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}
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promptWords := wordSet(normalizeWords(prompt))
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matched := 0
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for _, w := range textWords {
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if promptWords[w] {
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matched++
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}
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}
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return float64(matched)/float64(len(textWords)) >= 0.8
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}
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// normalizeWords lowercases and splits on anything that isn't a letter or
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// digit — unicode.IsLetter (not an ASCII-only check) so accented
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// characters (French: é, è, ï, ç, ...) stay part of their word instead of
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// being split into fragments.
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func normalizeWords(s string) []string {
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return strings.FieldsFunc(strings.ToLower(s), func(r rune) bool {
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return !unicode.IsLetter(r) && !unicode.IsDigit(r)
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})
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}
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func wordSet(words []string) map[string]bool {
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set := make(map[string]bool, len(words))
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for _, w := range words {
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set[w] = true
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}
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return set
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}
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@@ -0,0 +1,28 @@
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package asr
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import (
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"bytes"
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"context"
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"os/exec"
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"syscall"
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)
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// runFunc executes binary with args, feeding stdin, and returns
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// stdout/stderr. It's a seam so tests can substitute a fake process instead
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// of requiring the real qwen_asr binary and a multi-GB model on disk.
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type runFunc func(ctx context.Context, binary string, args []string, stdin []byte) (stdout, stderr []byte, err error)
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func runCommand(ctx context.Context, binary string, args []string, stdin []byte) ([]byte, []byte, error) {
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cmd := exec.CommandContext(ctx, binary, args...)
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cmd.Stdin = bytes.NewReader(stdin)
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var stdout, stderr bytes.Buffer
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cmd.Stdout = &stdout
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cmd.Stderr = &stderr
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// Run qwen_asr in its own process group so the terminal's Ctrl+C
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// (SIGINT to the whole foreground process group) doesn't kill an
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// in-flight transcription directly. It's still cancelable through ctx,
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// same as before — this only stops the shell from also signaling it.
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cmd.SysProcAttr = &syscall.SysProcAttr{Setpgid: true}
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err := cmd.Run()
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return stdout.Bytes(), stderr.Bytes(), err
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}
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