chore(browser-client): verbose audio receive and playback logging ...

Log base64 size, sample count, AudioContext state, start time, and
playback lifecycle to diagnose streaming audio silence in browser.

fix(browser-client): robust AudioContext resume and add test tone button ...

- Wait for AudioContext to reach 'running' state after resume().
- Recreate context if it was closed.
- Validate audio context state and non-empty data before playback.
- Add 'Test audio' button to verify browser audio path independently.

fix(server): use default voice_ref from settings when client omits it ...

Without this, browser/Python clients that don't send voice_ref failed
with 'F5-TTS requires a reference audio file' even when DEFAULT_VOICE_REF
was configured in .env.

chore(config): enable default voice ref, ref text and model name in .env.example ...

- .env.example: set DEFAULT_VOICE_REF, DEFAULT_REF_TEXT, TTS_MODEL_NAME
- config.py: add tts_model_name setting
- server.py: pass model name to F5TTSEngine constructor

fix(browser-client): resume AudioContext on user gesture ...

AudioContext requires a user gesture to leave suspended state.
Resume it on Connect and Speak button clicks and await resume().
Also wrap playback in try/catch and log errors in the UI.

feat(examples): add Python and browser WebSocket clients ...

- examples/client_python.py: streaming TTS client with sounddevice playback
- examples/client_browser.html: Web Audio API based browser client
- docs/05_usage.md: usage instructions for both clients
- pyproject.toml: optional client extras (websockets, sounddevice)
- requirements.txt: commented note about client deps

Document multilingual F5-TTS behavior and fallback options ...

- Tested ru/en/uk/es/de/fr inference timings

- Note accent and pronunciation caveats

- Outline future fallback/fine-tuning paths

Add explicit reference text config and clean default reference ...

- Add DEFAULT_REF_TEXT setting to skip Whisper transcription

- Pass ref_text through F5 backend and warm-up path

- Document new env variables and warm-up usage

- Update latency notes with explicit ref_text timing

Initial voice TTS server with F5-TTS backend, WebSocket streaming and warm-up ...

- FastAPI WebSocket API for real-time chunked TTS

- F5-TTS GPU backend with reference caching and auto-transcription

- Dummy backend for offline tests

- Streaming text segmenter, session state, stop/resume

- Startup warm-up, PCM16/base64 audio, basic tests

- Documentation: architecture, protocol, usage, roadmap, technical notes

Initial commit