Inflect-Micro-v2 for AX650 NPU

High-quality English TTS (VITS architecture) optimized for AX650 NPU3, running entirely on-chip with zero PyTorch dependency at inference time.

  • Encoder + Decoder: AX650 NPU (AXMODEL, U16 precision)
  • Duration Predictor: ONNX Runtime (onnxruntime)
  • Embedding: NumPy lookup
  • Real-time Factor: ~0.05x (20Γ— faster than real-time)

🎧 Audio Samples

All samples generated on AX650 NPU, 24kHz.

"Hello and welcome to Inflect Micro V2 text to speech." (3.6s, RTF 0.05x)

"The weather today is sunny with a gentle breeze." (2.6s, RTF 0.06x)

"Once upon a time, there lived a curious robot who loved to sing." (3.9s, RTF 0.05x)

"Neural voice synthesis is the next frontier of artificial intelligence." (4.1s, RTF 0.04x)

"This audio was generated entirely on the AX650 NPU chip." (4.7s, RTF 0.04x)

πŸš€ Quick Start

bash setup.sh
bash run.sh "Hello world." output.wav

πŸ“‘ API

# CLI
python -m inflect_tts_sdk --text "Hello" --output out.wav

# OpenAI-compatible Server
python -m inflect_tts_sdk.server --port 8000

πŸ“ File Structure

  • models/ β€” AXMODEL, dp.onnx, emb.npy
  • python/inflect_tts_sdk/ β€” Python SDK (CLI + OpenAI Server)
  • cpp/inflect_tts_sdk/ β€” C++ SDK (CLI + Server)
  • samples/ β€” audio samples
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