System Detail
iic/eres2netv2-zh
eresv2_zh
Submitted by: Public checkpoint
- Global position
- #14 / 25
- Scenario-macro EER
- 11.5449
- Scenario-macro minDCF
- 0.484961
- Trial-set coverage
- 26 / 26
- Scenario top-three
- 1
Publicly ranked
This result is included in the reviewed public ranking.
Model Provenance
Source and architecture
- Displayed name:
iic/eres2netv2-zh - Submitted by: Public checkpoint
- Metadata: OpenSVBench model record
- Source: IIC
- Architecture: ERes2NetV2
- Model family: ERes2Net
- Submitted alias:
speech_eres2netv2_sv_zh-cn_16k-common - Created at:
2026-05-29T14:35:20.759435+00:00
Training And Links
Training data and references
- Training data: Large Chinese speaker corpus, about 200k speakers
- Training setup: Official 16 kHz Chinese ERes2NetV2 release.
- Score processing: None
- Submission mode:
full-core - Model source: Open link
- Paper: ERes2NetV2: Boosting Short-Duration Speaker Verification Performance with Computational Efficiency
Higher-Ranked Scenarios
Scenario ranks above the global position
Show 3 supporting trial sets
- CN-Celeb: #1 on its trial-set ranking.
- CN-Celeb Genre: #2 on its trial-set ranking.
- CN-Celeb Short: #4 on its trial-set ranking.
Lower-Ranked Scenarios
Scenario ranks below the global position
Show 3 supporting trial sets
- VoxCeleb Short: #23 on its trial-set ranking.
- VoxCeleb1-H: #22 on its trial-set ranking.
- VoxCeleb1-O: #22 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.
|
#2/25
Top 3
|
Source-genre variation
1.0325 EER from leader
|
14.2725
0.527525 minDCF
|
|
|
Channel / Device Robustness
How resilient the model is to device and channel mismatch.
|
#10/25
Competitive
|
Device and channel variation
8.0097 EER from leader
|
11.9758
0.644862 minDCF
|
|
|
Short-Duration Robustness
How much performance holds up when speech evidence is limited by duration.
|
#10/25
Competitive
|
Short-duration speech
4.3750 EER from leader
|
12.9695
0.460887 minDCF
|
|
|
In-The-Wild Robustness
How strong the model is on unconstrained celebrity and media speech across official CN-Celeb and VoxCeleb protocols.
|
#11/25
Competitive
|
Open-domain media speech
3.1509 EER from leader
|
5.5369
0.294964 minDCF
|
|
|
Distance Robustness
How much performance changes across meeting and domestic distance mismatch.
|
#13/25
Competitive
|
Distance mismatch
6.5795 EER from leader
|
11.2737
0.537866 minDCF
|
|
|
Cross-Lingual Robustness
How well speaker identity survives enrollment-test language mismatch.
|
#14/25
Needs work
|
Language mismatch
3.6743 EER from leader
|
5.3320
0.299692 minDCF
|
|
|
Speaking-Style Robustness
Whether the model can preserve identity across emotion-driven change, whispered speech, and noise-induced Lombard speaking style.
|
#16/25
Needs work
|
Speaking style shift
4.0521 EER from leader
|
5.9688
0.361679 minDCF
|
|
|
Accent / Dialect Robustness
How reliably the model tracks identity across accent and dialect mismatch.
|
#18/25
Needs work
|
Accent and dialect variation
8.0568 EER from leader
|
23.8183
0.764092 minDCF
|
|
|
Aging Robustness
How stable identity representations remain across age-derived and longitudinal recording gaps.
|
#20/25
Needs work
|
Speaker aging and time gaps
7.4947 EER from leader
|
9.2864
0.497259 minDCF
|
|
|
Overlap Robustness
How well speaker identity survives light, mid, and heavy overlap in both meeting and domestic recordings.
|
#20/25
Needs work
|
Overlapping speakers
7.1883 EER from leader
|
14.8800
0.543251 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.
|
#21/25
Needs work
|
Noise and reverberation
9.4200 EER from leader
|
11.6800
0.402500 minDCF
|
Variant Compare
Compare ERes2Net variants
Compare the family variants on the overall board, a Scenario, or a Trial Set.
Show
Variant Compare
Compare ERes2Net 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 |
|---|---|---|---|---|---|---|---|---|
|
iic/eres2netv2-zh
ERes2NetV2
Current
|
Public checkpoint | IIC | Large Chinese speaker corpus, about 200k speakers | Official 16 kHz Chinese ERes2NetV2 release. | #14 | 11.5449 | 0.484961 | Open |
|
iic/eres2net-en
ERes2Net
|
Public checkpoint | IIC | VoxCeleb2 development set, 5,994 speakers | Official 16 kHz English ERes2Net release. | #16 | 12.0955 | 0.472802 | Open |
|
iic/eres2net-large-3dspeaker
ERes2Net
|
Public checkpoint | IIC / ModelScope | 3D-Speaker open dataset, about 10k Chinese speakers | Official 16 kHz Chinese ERes2Net-Large release; the local model card reports 18.3M parameters and training on 3D-Speaker. | #20 | 14.1682 | 0.593516 | 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
|
#14/25
|
Cross-lingual
|
200000 |
5.3320
0.299692 minDCF
|
|
HI-MIA
HI-MIA
|
#7/25
|
Short-duration
|
660000 |
3.7090
0.208377 minDCF
|
|
GSC Short
Google Speech Commands
|
#5/25
|
Short-duration
|
220000 |
5.0750
0.303175 minDCF
|
|
GLOBE
GLOBE
|
#21/25
|
Accent/dialect
|
56848 |
26.7067
0.580650 minDCF
|
|
CN-Celeb
CN-Celeb
|
#1/25
|
In-the-wild
|
3484292 |
3.8243
0.165880 minDCF
|
|
CN-Celeb Genre
CN-Celeb
|
#2/25
|
Genre shift
|
440000 |
14.2725
0.527525 minDCF
|
|
CN-Celeb Short
CN-Celeb
|
#4/25
|
Short-duration
|
546964 |
17.6675
0.559834 minDCF
|
|
VoxCeleb1-O
VoxCeleb1
|
#22/25
|
In-the-wild
|
37611 |
6.3852
0.421188 minDCF
|
|
VoxCeleb1-E
VoxCeleb1
|
#22/25
|
In-the-wild
|
579818 |
6.3659
0.387641 minDCF
|
|
VoxCeleb1-H
VoxCeleb1
|
#22/25
|
In-the-wild
|
550894 |
8.9975
0.463313 minDCF
|
|
VoxCeleb Short
VoxCeleb1
|
#23/25
|
Short-duration
|
394724 |
25.4264
0.772160 minDCF
|
|
3D-Speaker Device
3D-Speaker
|
#12/25
|
Channel/device
|
180000 |
17.4433
0.869280 minDCF
|
|
3D-Speaker Distance
3D-Speaker
|
#8/25
|
Distance
|
175163 |
14.1380
0.723966 minDCF
|
|
3D-Speaker Dialect
3D-Speaker
|
#17/25
|
Accent/dialect
|
180000 |
20.9300
0.947533 minDCF
|
|
FFSVC 2022 Cross-Channel
FFSVC 2022
|
#8/25
|
Channel/device
|
72000 |
6.5083
0.420444 minDCF
|
|
FFSVC 2022 Cross-Domain
FFSVC 2022
|
#8/25
|
Distance
|
66546 |
6.6987
0.430696 minDCF
|
|
Whisper40 Whisper
Whisper40
|
#9/25
|
Speaking style
|
17600 |
9.1250
0.663000 minDCF
|
|
Lombard Grid Lombard
Lombard Grid
|
#20/25
|
Speaking style
|
29524 |
1.2034
0.075149 minDCF
|
|
VOiCES Noise/Reverb
VOiCES
|
#21/25
|
Noise/reverb
|
55000 |
11.6800
0.402500 minDCF
|
|
CHiME-6 Domestic Far-Field
CHiME-6
|
#21/25
|
Distance
|
36487 |
18.3901
0.771721 minDCF
|
|
CHiME-6 Overlap
CHiME-6
|
#20/25
|
Overlap
|
39600 |
23.1667
0.743694 minDCF
|
|
ESD
ESD
|
#20/25
|
Speaking style
|
437408 |
7.5779
0.346889 minDCF
|
|
AliMeeting Near/Far
AliMeeting
|
#7/25
|
Distance
|
220000 |
5.8680
0.225080 minDCF
|
|
AliMeeting Overlap
AliMeeting
|
#9/25
|
Overlap
|
165000 |
6.5933
0.342807 minDCF
|
|
VoxKnesset
VoxKnesset
|
#20/25
|
Aging
|
158312 |
11.4067
0.527584 minDCF
|
|
VoxPopuli Aging
VoxPopuli
|
#20/25
|
Aging
|
146575 |
7.1662
0.466934 minDCF
|