---
license: mit
tags:
  - audio
  - voice
  - onnx
  - wavlm
---

# pbTrueVoiceLeveler ONNX models

ONNX models for **pbTrueVoiceLeveler** (idempotent voice leveling).

| file | content |
|---|---|
| `wavlm_base_plus.onnx` | WavLM Base+ 12-layer feature extractor. input `audio[B,N]` (16k, RMS-normalized) -> `layers[B,T,12,768]` |
| `tension.onnx` | TensionNet: clip features -> target LUFS/dynrange + bounded 16-band residual |
| `compressor.onnx` | CompressorNet: clip features -> (strength, thr_off) |
| `trim.onnx` | TrimNet: frame features -> keep logit [B,T] |
| `contour.onnx` | LoudnessContourNet: frame features -> relative loudness [B,T] |
| `stats.json` | standardization stats + band centers (pre/post-processing) |

All fp32, opset 17, dynamic batch/time axes. Numerically equivalent to the PyTorch originals
(max abs diff < 1e-4 for nets, < 1e-3 for WavLM).

WavLM Base+ original weights: Microsoft WavLM (MIT). This is an ONNX export for inference use.