feat(voice): DAVE E2E + full voice UX (squash of voice/dave-recv)
Squashed branch: voice/dave-recv → master. Closes Pas 12 (DAVE E2E) and lands voice-mode UX polish + verbal voice control on top of the Pas 1-10 scaffolding already on master. ## DAVE E2E receive-side decrypt (e4f3177) Vendored fork: discord-ext-voice-recv 0.5.3a+echo.dave1. Patches the receive pipeline to handle Discord's mandatory DAVE encryption on voice gateway v=8. - `_maybe_dave_decrypt`: uses davey.can_passthrough(user_id) as primary gate, falls through to dave.decrypt for DAVE-epoch peers, drops on decrypt failure without killing the reader thread. - VAD fix: silero-vad v5+ requires exactly 512 samples; our 100ms window (1600 samples) was silently raising ValueError → STT never fired. Now slice into 512-sample chunks. - Whisper: bumped beam_size 1→5 and added RO initial_prompt. - Tests: 11 DAVE unit tests + 2 callback integration tests + contract test with fork-version guard. ## Voice UX polish (d1bc77e) - Killed the 3s "mă gândesc" filler (always collided with Claude p50 4-7s). - Barge-in via `ttsq.clear()` at top of `on_segment_done`. - DTX silence-flush poller (200ms tick) — Discord stops sending RTP packets when silent, so the inline silence-check in sink.write() never fired for trailing audio; background thread handles it. - `EchoStreamingAudioSource.read()` non-blocking — old `get_frame(timeout=0.1)` wrecked Discord's 20ms cadence and the client interpreted bursts as stuttering (Marius heard "4 de minute" instead of full sentence). - RO time expansion: 23:09 → "douăzeci și trei și nouă minute". - Supertonic Unicode sanitize centralized in tools/tts.py. - Whisper local_files_only=True — no HF metadata GET on each startup. - Diagnostic logging through sink → VAD → Claude stream → TTS chain. ## Voice mode iteration (e589e48) - `personality/VOICE_MODE.md` — voice-tailored system prompt (short, no markdown, no abbreviations, time without seconds, distances in "mii"/"milioane"); plumbed via build_system_prompt(voice_mode=True). - Isolated voice session key `voice:<channel_id>` — voice doesn't share context with text adapter on the same channel; auto-applied without /clear ceremony. /clear drops both keys. - Metric units + Romanian thousands (normalize.py): "384.000 km" → "trei sute optzeci și patru de mii de kilometri" with feminine-correct pluralization and "de" particle for ≥20. - `/voice setvoice <M1-F5>` slash command with native autocomplete; swaps live + persists voice.default_voice to config.json. - Verbal voice change (src/voice/voice_commands.py + 29 tests) — "schimbă vocea pe M5", "voce em cinci", with permissive substring fallback for Whisper-mangled forms like "Mâcinci"=M5 and "unul cinci"=M5. Whisper initial_prompt now lists voice vocabulary to bias STT toward clean outputs. - Fast barge-in: VAD ≥2 consecutive windows (~200ms) on Marius's user while Echo has pending TTS frames → cut him off mid-sentence so user doesn't wait the full silence + STT cycle. Acoustic echo bleed-through still requires headphones (no AEC). ## Test suite 130 voice + router tests pass (test_voice_recv_dave, test_voice_session_cleanup, test_voice_adapter_contract, test_voice_normalize, test_voice_commands, test_router). Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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@@ -17,6 +17,13 @@ Lecții capturate din corectările lui Marius. Citește acest fișier la începu
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<!-- Lecțiile se adaugă mai jos, cele mai noi sus. -->
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## Supertonic rejectează ghilimelele curly (Unicode) cu HTTP 500
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**Data:** 2026-05-27
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**Context:** Marius a dat o comandă audio pe Discord cu un URL, iar răspunsul lui Claude conținea `„foo"` (ghilimele românești curly). Supertonic a returnat `HTTP 500: synthesis failed: Found 1 unsupported character(s): ['„']` și răspunsul nu s-a mai auzit. Fără retry logic vizibil în UX — pur și simplu tace.
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**Greșeala:** Am presupus că `normalize_for_tts` produce text deja "TTS-safe" pentru Supertonic. În realitate `strip_markdown` păstrează ghilimelele Unicode (`„` U+201E, `"` U+201D, `—` U+2014, `…` U+2026, etc.) pe care Supertonic le refuză.
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**Regula:** Înainte de orice apel HTTP la Supertonic, **sanitizează punctuația Unicode** la echivalentele ASCII (`„` `"` `"` → `"`, `'` `'` `‚` → `'`, `–` `—` → `-`, `…` → `...`, `«` `»` → `"`). Funcția `sanitize_punctuation` în `src/voice/normalize.py` face asta și e apelată chiar după `strip_markdown` în pipeline. Dacă apar caractere noi care crapă Supertonic (ex: simboluri matematice, săgeți), adaugă-le în `_TTS_PUNCT_MAP`.
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**Când se aplică:** Orice cod care trimite text la Supertonic (`tools/tts.py`, `src/voice/tts_stream.py`). Inclusiv testare manuală cu `curl` — folosește text românesc realistic (include `„foo"`, em-dash `—`, ellipsis `…`).
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## Mai multe threads ≠ mai rapid — fitează `cpu_threads` pe physical cores, nu logical
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**Data:** 2026-05-27
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**Context:** Benchmark `tools/voice_bench.py` pentru faster-whisper `small` int8 pe i7-6700T (4 physical / 8 logical cores). Marius a urcat VM-ul de la 2 → 4 → 6 cores online, așteptând că mai multe = mai rapid.
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