System Detail
iic/campplus
campplus
Submitted by: Public checkpoint
- Global position
- #23 / 25
- Scenario-macro EER
- 15.1677
- Scenario-macro minDCF
- 0.590178
- Trial-set coverage
- 26 / 26
- Scenario top-three
- 0
Publicly ranked
This result is included in the reviewed public ranking.
Model Provenance
Source and architecture
- Displayed name:
iic/campplus - Submitted by: Public checkpoint
- Metadata: OpenSVBench model record
- Source: IIC
- Architecture: CAMPPlus
- Model family: CAMPPlus
- Submitted alias:
speech_campplus_sv_zh-cn_16k-common - Created at:
2026-05-29T14:29:45.445306+00:00
Training And Links
Training data and references
- Training data: Large Chinese speaker corpus, about 200k speakers
- Training setup: Official ModelScope CAMPPlus release.
- Score processing: None
- Submission mode:
full-core - Model source: Open link
- Paper: CAM++: A Fast and Efficient Network for Speaker Verification Using Context-Aware Masking
Higher-Ranked Scenarios
Scenario ranks above the global position
Show 3 supporting trial sets
- CN-Celeb: #3 on its trial-set ranking.
- CN-Celeb Genre: #4 on its trial-set ranking.
- CN-Celeb Short: #7 on its trial-set ranking.
Lower-Ranked Scenarios
Scenario ranks below the global position
Show 3 supporting trial sets
- VOiCES Noise/Reverb: #25 on its trial-set ranking.
- GLOBE: #24 on its trial-set ranking.
- VoxCeleb Short: #24 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 |
|---|---|---|---|---|
|
Genre-Shift Robustness
Whether performance holds when CN-Celeb enrollment and test speech come from different source genres.
|
#4/25
Competitive
|
Source-genre variation
3.6415 EER from leader
|
16.8815
0.610655 minDCF
|
|
|
Channel / Device Robustness
How resilient the model is to device and channel mismatch.
|
#16/25
Needs work
|
Device and channel variation
10.4947 EER from leader
|
14.4608
0.722188 minDCF
|
|
|
Short-Duration Robustness
How much performance holds up when speech evidence is limited by duration.
|
#16/25
Needs work
|
Short-duration speech
6.2111 EER from leader
|
14.8056
0.554588 minDCF
|
|
|
In-The-Wild Robustness
How strong the model is on unconstrained celebrity and media speech across official CN-Celeb and VoxCeleb protocols.
|
#17/25
Needs work
|
Open-domain media speech
4.4350 EER from leader
|
6.8211
0.361956 minDCF
|
|
|
Cross-Lingual Robustness
How well speaker identity survives enrollment-test language mismatch.
|
#18/25
Needs work
|
Language mismatch
4.8137 EER from leader
|
6.4713
0.346271 minDCF
|
|
|
Speaking-Style Robustness
Whether the model can preserve identity across emotion-driven change, whispered speech, and noise-induced Lombard speaking style.
|
#22/25
Needs work
|
Speaking style shift
5.6527 EER from leader
|
7.5693
0.424138 minDCF
|
|
|
Aging Robustness
How stable identity representations remain across age-derived and longitudinal recording gaps.
|
#22/25
Needs work
|
Speaker aging and time gaps
10.5459 EER from leader
|
12.3376
0.625277 minDCF
|
|
|
Distance Robustness
How much performance changes across meeting and domestic distance mismatch.
|
#22/25
Needs work
|
Distance mismatch
11.7547 EER from leader
|
16.4489
0.675161 minDCF
|
|
|
Overlap Robustness
How well speaker identity survives light, mid, and heavy overlap in both meeting and domestic recordings.
|
#23/25
Needs work
|
Overlapping speakers
10.9454 EER from leader
|
18.6371
0.617367 minDCF
|
|
|
Accent / Dialect Robustness
How reliably the model tracks identity across accent and dialect mismatch.
|
#23/25
Needs work
|
Accent and dialect variation
13.1700 EER from leader
|
28.9315
0.816441 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.
|
#25/25
Needs work
|
Noise and reverberation
21.2200 EER from leader
|
23.4800
0.737920 minDCF
|
Variant Compare
Compare CAMPPlus variants
Compare the family variants on the overall board, a Scenario, or a Trial Set.
Show
Variant Compare
Compare CAMPPlus variants
Compare the family variants on the overall board, a Scenario, or a Trial Set.
| Variant | Submitted by | Source | Training Data | Training Setup | Rank | EER | minDCF | Open |
|---|---|---|---|---|---|---|---|---|
|
wespeaker/campplus-voxceleb
CAMPPlus
|
Public checkpoint | WeSpeaker | VoxCeleb2 dev | CAMPPlus with TSTP pooling, ArcMargin large-margin fine-tuning, and MUSAN/RIRS augmentation. | #17 | 13.4165 | 0.520675 | Open |
|
iic/campplus
CAMPPlus
Current
|
Public checkpoint | IIC | Large Chinese speaker corpus, about 200k speakers | Official ModelScope CAMPPlus release. | #23 | 15.1677 | 0.590178 | Open |
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
|
#18/25
|
Cross-lingual
|
200000 |
6.4713
0.346271 minDCF
|
|
HI-MIA
HI-MIA
|
#12/25
|
Short-duration
|
660000 |
5.8722
0.341062 minDCF
|
|
GSC Short
Google Speech Commands
|
#8/25
|
Short-duration
|
220000 |
7.0055
0.425695 minDCF
|
|
GLOBE
GLOBE
|
#24/25
|
Accent/dialect
|
56848 |
27.7090
0.634462 minDCF
|
|
CN-Celeb
CN-Celeb
|
#3/25
|
In-the-wild
|
3484292 |
4.7029
0.224112 minDCF
|
|
CN-Celeb Genre
CN-Celeb
|
#4/25
|
Genre shift
|
440000 |
16.8815
0.610655 minDCF
|
|
CN-Celeb Short
CN-Celeb
|
#7/25
|
Short-duration
|
546964 |
19.1292
0.622269 minDCF
|
|
VoxCeleb1-O
VoxCeleb1
|
#24/25
|
In-the-wild
|
37611 |
7.7917
0.488954 minDCF
|
|
VoxCeleb1-E
VoxCeleb1
|
#24/25
|
In-the-wild
|
579818 |
7.9032
0.462346 minDCF
|
|
VoxCeleb1-H
VoxCeleb1
|
#24/25
|
In-the-wild
|
550894 |
11.1228
0.548104 minDCF
|
|
VoxCeleb Short
VoxCeleb1
|
#24/25
|
Short-duration
|
394724 |
27.2155
0.829325 minDCF
|
|
3D-Speaker Device
3D-Speaker
|
#18/25
|
Channel/device
|
180000 |
20.1800
0.916793 minDCF
|
|
3D-Speaker Distance
3D-Speaker
|
#20/25
|
Distance
|
175163 |
23.4511
0.937368 minDCF
|
|
3D-Speaker Dialect
3D-Speaker
|
#23/25
|
Accent/dialect
|
180000 |
30.1540
0.998420 minDCF
|
|
FFSVC 2022 Cross-Channel
FFSVC 2022
|
#11/25
|
Channel/device
|
72000 |
8.7417
0.527583 minDCF
|
|
FFSVC 2022 Cross-Domain
FFSVC 2022
|
#10/25
|
Distance
|
66546 |
8.7533
0.539182 minDCF
|
|
Whisper40 Whisper
Whisper40
|
#16/25
|
Speaking style
|
17600 |
11.2625
0.683063 minDCF
|
|
Lombard Grid Lombard
Lombard Grid
|
#22/25
|
Speaking style
|
29524 |
1.7884
0.119188 minDCF
|
|
VOiCES Noise/Reverb
VOiCES
|
#25/25
|
Noise/reverb
|
55000 |
23.4800
0.737920 minDCF
|
|
CHiME-6 Domestic Far-Field
CHiME-6
|
#23/25
|
Distance
|
36487 |
24.2086
0.902834 minDCF
|
|
CHiME-6 Overlap
CHiME-6
|
#23/25
|
Overlap
|
39600 |
28.3056
0.837667 minDCF
|
|
ESD
ESD
|
#23/25
|
Speaking style
|
437408 |
9.6571
0.470165 minDCF
|
|
AliMeeting Near/Far
AliMeeting
|
#19/25
|
Distance
|
220000 |
9.3825
0.321260 minDCF
|
|
AliMeeting Overlap
AliMeeting
|
#14/25
|
Overlap
|
165000 |
8.9687
0.397067 minDCF
|
|
VoxKnesset
VoxKnesset
|
#22/25
|
Aging
|
158312 |
15.4369
0.696994 minDCF
|
|
VoxPopuli Aging
VoxPopuli
|
#21/25
|
Aging
|
146575 |
9.2383
0.553561 minDCF
|