pbTechLab/pbTrueVoiceLeveler-onnx

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.