System Detail
microsoft/ wavlm-base-plus-sv
wavlm_base
This page shows the global rank, scenario ranks, and trial-set results for this submission.
Global Position
#17/18
Public ranking position among reviewed full-core submissions.
Scenario-Macro EER
25.1577
Scenario-Macro minDCF
0.875090
Coverage
26/26
0 scenarios ranked #1
0 scenarios in top 3
Public Listing
Ranked Publicly
This full-core result is approved and included in the public ranking.
Model Provenance
Source and architecture
- Displayed name:
microsoft/wavlm-base-plus-sv - Source: Microsoft
- Architecture: WavLM-Base+
- Submitted alias:
wavlm-base-plus-sv - Created at:
2026-05-29T14:44:54.637184+00:00
Training And Links
Training data and references
- Training data: Pretrained on 60k h Libri-Light, 10k h GigaSpeech, and 24k h VoxPopuli; SV head fine-tuned on VoxCeleb1
- Training setup: WavLM-Base+ model fine-tuned for speaker verification with an x-vector head and Additive Margin Softmax loss.
- Submission mode:
full-core - Paper: WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing
Higher-Ranked Scenarios
Scenario ranks above the global position
Show 3 supporting trial sets
- VoxCeleb1-E: #12 on its trial-set ranking.
- VoxCeleb1-O: #12 on its trial-set ranking.
- VoxCeleb1-H: #12 on its trial-set ranking.
Lower-Ranked Scenarios
Scenario ranks below the global position
Show 3 supporting trial sets
- CN-Celeb Genre: #18 on its trial-set ranking.
- CHiME-6 Overlap: #18 on its trial-set ranking.
- CHiME-6 Domestic Far-Field: #18 on its trial-set ranking.
Scenario Rankings
Full ranking across scenarios
This table shows where the model sits on each scenario, using source-balanced scenario scores and the linked trial sets as evidence.
| Scenario | Rank | Lens | Evidence | Score |
|---|---|---|---|---|
|
Aging Robustness
How stable identity representations remain across age-derived and longitudinal recording gaps.
|
#16/18
Needs work
|
Speaker aging and time gaps
14.3863 EER from leader
|
16.4560
0.801948 minDCF
|
|
|
In-The-Wild Robustness
How strong the model is on unconstrained celebrity and media speech across official CN-Celeb and VoxCeleb protocols.
|
#16/18
Needs work
|
Open-domain media speech
11.3223 EER from leader
|
16.5057
0.632600 minDCF
|
|
|
Accent / Dialect Robustness
How reliably the model tracks identity across accent and dialect mismatch.
|
#16/18
Needs work
|
Accent and dialect variation
10.9217 EER from leader
|
31.3569
0.895666 minDCF
|
|
|
Speaking-Style Robustness
Whether the model can preserve identity across emotion-driven change, whispered speech, and noise-induced Lombard speaking style.
|
#17/18
Needs work
|
Speaking style shift
15.2840 EER from leader
|
18.0734
0.805194 minDCF
|
|
|
Noise / Reverb Robustness
How reliably the model preserves identity when room acoustics, distractor noise, and microphone placement deviate from an easier in-corpus reference condition.
|
#17/18
Needs work
|
Noise and reverberation
18.4800 EER from leader
|
21.0600
0.742060 minDCF
|
|
|
Cross-Lingual Robustness
How well speaker identity survives enrollment-test language mismatch.
|
#17/18
Needs work
|
Language mismatch
17.2476 EER from leader
|
21.7152
0.966351 minDCF
|
|
|
Overlap Robustness
How well speaker identity survives light, mid, and heavy overlap in both meeting and domestic recordings.
|
#17/18
Needs work
|
Overlapping speakers
15.9522 EER from leader
|
26.0906
0.926016 minDCF
|
|
|
Channel / Device Robustness
How resilient the model is to device and channel mismatch.
|
#17/18
Needs work
|
Device and channel variation
24.9714 EER from leader
|
31.2817
0.997779 minDCF
|
|
|
Short-Duration Robustness
How much performance holds up when speech evidence is limited by duration.
|
#18/18
Needs work
|
Short-duration speech
14.1955 EER from leader
|
26.7099
0.906048 minDCF
|
|
|
Distance Robustness
How much performance changes across meeting and domestic distance mismatch.
|
#18/18
Needs work
|
Distance mismatch
19.8418 EER from leader
|
29.1056
0.976812 minDCF
|
|
|
Genre-Shift Robustness
Whether performance holds when CN-Celeb enrollment and test speech come from different source genres.
|
#18/18
Needs work
|
Source-genre variation
24.1075 EER from leader
|
38.3800
0.975515 minDCF
|
Trial-Set Results
Raw ranking by trial set
Expand this section to inspect the detailed trial-set rankings.
Show
Raw ranking by trial set
Expand this section to inspect the detailed trial-set rankings.
| Trial Set | Rank | Scenarios | Trials | Score |
|---|---|---|---|---|
|
TidyVoiceX2-ASV
TidyVoiceX2-ASV
|
#17/18
|
Cross-lingual
|
200000 |
21.7152
0.966351 minDCF
|
|
HI-MIA
HI-MIA
|
#18/18
|
Short-duration
|
660000 |
25.0650
0.910383 minDCF
|
|
GSC Short
Google Speech Commands
|
#18/18
|
Short-duration
|
220000 |
25.7750
0.967470 minDCF
|
|
GLOBE
GLOBE
|
#15/18
|
Accent/dialect
|
56848 |
27.0704
0.791331 minDCF
|
|
CN-Celeb
CN-Celeb
|
#17/18
|
In-the-wild
|
3484292 |
27.9358
0.916549 minDCF
|
|
CN-Celeb Genre
CN-Celeb
|
#18/18
|
Genre shift
|
440000 |
38.3800
0.975515 minDCF
|
|
CN-Celeb Short
CN-Celeb
|
#16/18
|
Short-duration
|
546964 |
33.2598
0.989844 minDCF
|
|
VoxCeleb1-O
VoxCeleb1
|
#12/18
|
In-the-wild
|
37611 |
5.5047
0.436697 minDCF
|
|
VoxCeleb1-E
VoxCeleb1
|
#12/18
|
In-the-wild
|
579818 |
3.2098
0.213272 minDCF
|
|
VoxCeleb1-H
VoxCeleb1
|
#12/18
|
In-the-wild
|
550894 |
6.5121
0.395984 minDCF
|
|
VoxCeleb Short
VoxCeleb1
|
#13/18
|
Short-duration
|
394724 |
22.7399
0.756493 minDCF
|
|
3D-Speaker Device
3D-Speaker
|
#16/18
|
Channel/device
|
180000 |
36.5133
0.999780 minDCF
|
|
3D-Speaker Distance
3D-Speaker
|
#16/18
|
Distance
|
175163 |
37.3027
0.999801 minDCF
|
|
3D-Speaker Dialect
3D-Speaker
|
#16/18
|
Accent/dialect
|
180000 |
35.6433
1.000000 minDCF
|
|
FFSVC 2022 Cross-Channel
FFSVC 2022
|
#17/18
|
Channel/device
|
72000 |
26.0500
0.995778 minDCF
|
|
FFSVC 2022 Cross-Domain
FFSVC 2022
|
#17/18
|
Distance
|
66546 |
26.2121
0.996206 minDCF
|
|
Whisper40 Whisper
Whisper40
|
#17/18
|
Speaking style
|
17600 |
32.6563
0.989187 minDCF
|
|
Lombard Grid Lombard
Lombard Grid
|
#18/18
|
Speaking style
|
29524 |
8.1967
0.544113 minDCF
|
|
VOiCES Noise/Reverb
VOiCES
|
#17/18
|
Noise/reverb
|
55000 |
21.0600
0.742060 minDCF
|
|
CHiME-6 Domestic Far-Field
CHiME-6
|
#18/18
|
Distance
|
36487 |
29.0021
0.989720 minDCF
|
|
CHiME-6 Overlap
CHiME-6
|
#18/18
|
Overlap
|
39600 |
30.3611
0.924111 minDCF
|
|
ESD
ESD
|
#18/18
|
Speaking style
|
437408 |
13.3674
0.882281 minDCF
|
|
AliMeeting Near/Far
AliMeeting
|
#18/18
|
Distance
|
220000 |
23.9055
0.921520 minDCF
|
|
AliMeeting Overlap
AliMeeting
|
#17/18
|
Overlap
|
165000 |
21.8200
0.927920 minDCF
|
|
VoxKnesset
VoxKnesset
|
#17/18
|
Aging
|
158312 |
23.1333
0.940091 minDCF
|
|
VoxPopuli Aging
VoxPopuli
|
#15/18
|
Aging
|
146575 |
9.7786
0.663805 minDCF
|