Sync model card with upstream GitHub inference README
Browse files
README.md
CHANGED
|
@@ -152,7 +152,7 @@ Stratified 150-sample eval (30 per scenario) on the
|
|
| 152 |
We track DNSMOS P.808 (`sig_bak_ovr.onnx`) in TensorBoard but are deliberately
|
| 153 |
*not* publishing OVRL numbers for this model. The scores we obtain (around 2.0
|
| 154 |
overall, 2.1 on single-talk far-end) contradict informal listening —
|
| 155 |
-
single-talk far-end with
|
| 156 |
"2-out-of-5" output. We suspect our DNSMOS invocation (input normalisation,
|
| 157 |
silence handling, or ONNX model variant) is miscalibrated for AEC outputs
|
| 158 |
and in particular for near-silent clips, which are out of distribution for a
|
|
|
|
| 152 |
We track DNSMOS P.808 (`sig_bak_ovr.onnx`) in TensorBoard but are deliberately
|
| 153 |
*not* publishing OVRL numbers for this model. The scores we obtain (around 2.0
|
| 154 |
overall, 2.1 on single-talk far-end) contradict informal listening —
|
| 155 |
+
single-talk far-end with ~48 dB of cancellation is audibly near-silent, not a
|
| 156 |
"2-out-of-5" output. We suspect our DNSMOS invocation (input normalisation,
|
| 157 |
silence handling, or ONNX model variant) is miscalibrated for AEC outputs
|
| 158 |
and in particular for near-silent clips, which are out of distribution for a
|