Unity
Listen.Think.Speak - Local Speech to Speech AI
By AiKodex
$30
Rated 3.0/5 from 5 ratings on Unity.
About Listen.Think.Speak - Local Speech to Speech AI
Listen.Think.Speak is a fully offline voice chat asset for Windows:
speech-to-text → LLM → text-to-speech
Why it’s great
- Super fast: typical end-to-end replies in 1,500–4,000 ms (STT → LLM → TTS).
- 100% local: zero network calls; ideal for offline games and strict privacy.
- Context aware: built-in conversation history for multi-turn dialog.
- Voices: 28 plug-and-play voice models. [English only for now.]
- Drop-in demo: press Load LLM → Record → Speak to test in minutes.
Technical details
- Platform: Windows-only (x64) for now.
- Inference: CPU-optimized pipeline for TTS and STT. GPU recommended for LLM.
- Core model: Llama 2 7B (quantized); conversation memory retained per session.
- TTS: ONNX voice models with default 22,050 Hz sample rate.
- Model storage: single .bin LLM model file in StreamingAssets; ONNX voices from 60mb.
- Latency breakdown (typical): STT ~300–800 ms → LLM ~700–2,200 ms → TTS ~300–1,200 ms → Total 1.5–4.0 s. (Tested on intel i7, i9 | Nvidia 2080 Super, 3070-Ti Laptop, 4070-Ti)
Setup in 3 steps
1. Tools → Listen.Think.Speak → Prerequisites → install components + download the Llama 7B core.
2. Download one or more ONNX voices, then add them in Speak Manager → Available Models.
3. Open the demo, click Load LLM, then Record → Speak. Done!
Perfect for
- Immersive NPC conversations
- Voice-controlled puzzle/stealth mechanics
- Narrative games with dynamic banter
- Offline environments
Current support: Windows only (macOS/Linux planned).
If you want fast, private, and professional in-game voice interactions without touching the cloud, Listen.Think.Speak is your plug-and-play solution.
speech-to-text → LLM → text-to-speech
Why it’s great
- Super fast: typical end-to-end replies in 1,500–4,000 ms (STT → LLM → TTS).
- 100% local: zero network calls; ideal for offline games and strict privacy.
- Context aware: built-in conversation history for multi-turn dialog.
- Voices: 28 plug-and-play voice models. [English only for now.]
- Drop-in demo: press Load LLM → Record → Speak to test in minutes.
Technical details
- Platform: Windows-only (x64) for now.
- Inference: CPU-optimized pipeline for TTS and STT. GPU recommended for LLM.
- Core model: Llama 2 7B (quantized); conversation memory retained per session.
- TTS: ONNX voice models with default 22,050 Hz sample rate.
- Model storage: single .bin LLM model file in StreamingAssets; ONNX voices from 60mb.
- Latency breakdown (typical): STT ~300–800 ms → LLM ~700–2,200 ms → TTS ~300–1,200 ms → Total 1.5–4.0 s. (Tested on intel i7, i9 | Nvidia 2080 Super, 3070-Ti Laptop, 4070-Ti)
Setup in 3 steps
1. Tools → Listen.Think.Speak → Prerequisites → install components + download the Llama 7B core.
2. Download one or more ONNX voices, then add them in Speak Manager → Available Models.
3. Open the demo, click Load LLM, then Record → Speak. Done!
Perfect for
- Immersive NPC conversations
- Voice-controlled puzzle/stealth mechanics
- Narrative games with dynamic banter
- Offline environments
Current support: Windows only (macOS/Linux planned).
If you want fast, private, and professional in-game voice interactions without touching the cloud, Listen.Think.Speak is your plug-and-play solution.