vocalyx 1.0.2

Real-time voice assistant with Speech-to-Text (STT), GPT, and Text-to-Speech (TTS). Run vocalyx-stt, vocalyx-tts, and vocalyx in three terminals.

Vocalyx

Real-time voice assistant: Speech-to-Text (STT) → GPT → Text-to-Speech (TTS). Install with pip install vocalyx. Run vocalyx-stt, vocalyx-tts, and vocalyx in three terminals.

---

Install

pip install vocalyx

Requirements: Python 3.10+, system dependencies portaudio and ffmpeg, microphone and audio output.

---

Architecture and flow

All components live in the vocalyx package and talk over WebSockets:

[Microphone] → vocalyx (client)
                    ↓
              STT server (RealtimeSTT) ← control + data WebSockets
                    ↓
              vocalyx (client) receives transcribed text
                    ↓
              TTS server (GPT + Soprano TTS) ← single WebSocket
                    ↓
              vocalyx (client) plays audio → [Speakers]

1. vocalyx-stt – STT server. Listens on two ports: control (commands) and data (audio + transcriptions).
2. vocalyx-tts – TTS server. Listens on one port. Receives text, streams GPT response, synthesizes with Soprano, streams audio back.
3. vocalyx – Client. Captures mic, sends audio to STT; receives text, sends to TTS; receives and plays TTS audio.

---

Ports (defaults)

Component	Role	Default URL / Port
STT server	Control WebSocket	ws://localhost:8011
STT server	Data WebSocket	ws://localhost:8012
TTS server	WebSocket	ws://localhost:8013

The client uses these URLs by default. You can override them with --control, --data, and --tts-url when running vocalyx, and with -c/-d when running vocalyx-stt. The TTS server binds to localhost and the port above (no CLI port flag in the current release).

---

Models used

Role	Model / service	Notes
STT	RealtimeSTT (Faster Whisper, CTranslate2)	Main model default: tiny.en. Real-time model default: tiny. Configurable via -m, -r.
LLM	OpenAI GPT (streaming)	Default: gpt-3.5-turbo. Used for assistant replies. Requires OPENAI_API_KEY.
TTS	Soprano TTS	On-device, 80M params. Default: backend=auto, device=auto, cache_size_mb=100, decoder_batch_size=1. Output: 32 kHz mono float32.

---

Configuration

Environment

Create a .env in the directory from which you run the processes (or set the variable in the shell):

• OPENAI_API_KEY – Required for the TTS server (GPT). Get it from OpenAI API keys.

TTS server (vocalyx-tts)

• Host / port: localhost:8013 (hardcoded in code).
• GPT: System prompt and model are sent by the client per request (default prompt “motivational assistant”.", default model: gpt-3.5-turbo). Temperature is 0.7.
• Soprano: Loaded once at startup; backend="auto", device="auto", cache_size_mb=100, decoder_batch_size=1.

STT server (vocalyx-stt)

Key options (run vocalyx-stt --help for full list):

Option	Default	Description
-c, --control	8011	Control WebSocket port.
-d, --data	8012	Data WebSocket port.
-m, --model	tiny.en	Main Whisper model size or path (e.g. base, small, large-v2).
-r, --rt-model	tiny	Real-time transcription model size.
-l, --lang	en	Language code.
-i, --input-device	1	Audio input device index.
--device	cuda	cuda or cpu.
--compute_type	default	CTranslate2 compute type.
--silero_sensitivity	0.05	VAD sensitivity (0–1).
--webrtc_sensitivity	3	WebRTC VAD (0–3).
--end_of_sentence_detection_pause	0.45	Silence (seconds) to treat as end of sentence.
-D, --debug	off	Debug logging.

Client (vocalyx)

Option	Default	Description
--control	ws://localhost:8011	STT control WebSocket URL.
--data	ws://localhost:8012	STT data WebSocket URL.
--tts-url	ws://localhost:8013	TTS WebSocket URL.
--voice	af_heart	Voice name (Soprano may ignore).
--speed	1.0	Playback speed.
--system-prompt, --prompt	You are a motivational assistant.	LLM system prompt (persona/instructions).
--model	gpt-3.5-turbo	OpenAI model (e.g. gpt-4, gpt-4o).
-L, --list	-	List audio devices and exit.
-c, --continous	true	Keep running and transcribing.

---

Usage

1. Set OPENAI_API_KEY (e.g. in .env).
2. Start STT server, then TTS server, then client:

# Terminal 1
vocalyx-stt

# Terminal 2
vocalyx-tts

# Terminal 3
vocalyx

3. Speak; the client shows “You” and “AI” and plays the assistant’s voice.

List microphone devices:

vocalyx --list

Use a different TTS URL or STT URLs if your servers run on other hosts/ports:

vocalyx --tts-url ws://otherhost:8013 --control ws://otherhost:8011 --data ws://otherhost:8012

---

Audio format (TTS)

Soprano TTS outputs 32 kHz, mono, float32. The client plays this directly (e.g. paFloat32, 32000 Hz, 1 channel). Do not convert to μ-law or int16 for playback or you may change pitch/tempo.

---

License

MIT