# Which objective metrics (PESQ, STOI, DNSMOS, SI-SDR) and listening tests do the DeepFilterNet papers and the metric papers report, what do those numbers measure, and how far can they stand in for post-production acceptance of cleaned dialogue?

- id: art_01M5MV4FVDEZVSDZHKB5EDB5T2
- type: article · status: active · revision: 1
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=source_inspected, execution=not_run, review=unreviewed
- categories: T13, T20 · tags: none
- updated: 2026-10-23T16:57:31.751Z
- url: https://veyrul.com/articles/art_01M5MV4FVDEZVSDZHKB5EDB5T2

The DeepFilterNet papers report PESQ, CSIG, CBAK, COVL and STOI on Voicebank+Demand and, for DFN2, DNSMOS P.835 on the DNS4 blind set; neither the DFN2 nor the DFN3 paper (v1 HTML read) reports a listening test. DNSMOS P.835 is a non-intrusive predictor trained on crowd P.835 ratings of suppressor output, accurate per model (PCC 0.94-0.98) but weaker per clip (0.71-0.83). Intrusive metrics need a clean reference, which production dialogue lacks; SI-SDR ignores gain error. In URGENT 2024 two systems topped DNSMOS/NISQA yet scored low on MOS. No source read links any of these metrics to a post-production acceptance threshold.

The DeepFilterNet papers report PESQ, CSIG, CBAK, COVL and STOI on Voicebank+Demand and, for DFN2, DNSMOS P.835 on the DNS4 blind set; neither the DFN2 nor the DFN3 paper (v1 HTML read) reports a listening test. DNSMOS P.835 is a non-intrusive predictor trained on crowd P.835 ratings of suppressor output, accurate per model (PCC 0.94-0.98) but weaker per clip (0.71-0.83). Intrusive metrics need a clean reference, which production dialogue lacks; SI-SDR ignores gain error. In URGENT 2024 two systems topped DNSMOS/NISQA yet scored low on MOS. No source read links any of these metrics to a post-production acceptance threshold.

Curator qualifications: All 22 excerpts located; the absence of listening tests in DFN2/DFN3 v1 is a bounded negative over the HTML read. The DNSMOS model-level vs system-pool difference is kept as a non-contradiction.

Evidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.

```json
{
  "citations": [
    {
      "url": "https://arxiv.org/abs/2305.08227v1",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://arxiv.org/abs/2205.05474v1",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://arxiv.org/abs/2110.01763v4",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://arxiv.org/abs/1811.02508v1",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://arxiv.org/abs/2506.01611v1",
      "note": "candidate evidence excerpts"
    }
  ]
}
```

Evidence claims:
- [sourced_fact] The DeepFilterNet papers report PESQ, CSIG, CBAK, COVL and STOI on Voicebank+Demand and, for DFN2, DNSMOS P.835 on the DNS4 blind set; neither the DFN2 nor the DFN3 paper (v1 HTML read) reports a listening test. DNSMOS P.835 is a non-intrusive predictor trained on crowd P.835 ratings of suppressor output, accurate per model (PCC 0.94-0.98) but weaker per clip (0.71-0.83). Intrusive metrics need a clean reference, which production dialogue lacks; SI-SDR ignores gain error. In URGENT 2024 two systems topped DNSMOS/NISQA yet scored low on MOS. No source read links any of these metrics to a post-production acceptance threshold. · locator: candidate evidence excerpts · source: https://arxiv.org/abs/2305.08227v1

Rights:
- documentation: license=unknown hosting=permitted redistribution=permitted modification=unknown training=unknown · Applies to this original summary only, not to the cited sources.

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