System Detail
iic/eres2net-en
eres_en
Submitted by: Public checkpoint
- Global position
- #16 / 25
- Scenario-macro EER
- 12.0955
- Scenario-macro minDCF
- 0.472802
- 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/eres2net-en - Submitted by: Public checkpoint
- Metadata: OpenSVBench model record
- Source: IIC
- Architecture: ERes2Net
- Model family: ERes2Net
- Submitted alias:
speech_eres2net_sv_en_voxceleb_16k - Created at:
2026-05-29T14:32:30.802353+00:00
Training And Links
Training data and references
- Training data: VoxCeleb2 development set, 5,994 speakers
- Training setup: Official 16 kHz English ERes2Net release.
- Score processing: None
- Submission mode:
full-core - Model source: Open link
- Paper: An Enhanced Res2Net with Local and Global Feature Fusion for Speaker Verification
Higher-Ranked Scenarios
Scenario ranks above the global position
Show 3 supporting trial sets
- VOiCES Noise/Reverb: #10 on its trial-set ranking.
- GLOBE: #12 on its trial-set ranking.
- VoxCeleb1-O: #14 on its trial-set ranking.
Lower-Ranked Scenarios
Scenario ranks below the global position
Show 3 supporting trial sets
- GSC Short: #20 on its trial-set ranking.
- CN-Celeb Short: #19 on its trial-set ranking.
- FFSVC 2022 Cross-Domain: #19 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 |
|---|---|---|---|---|
|
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.
|
#10/25
Competitive
|
Noise and reverberation
2.4600 EER from leader
|
4.7200
0.148640 minDCF
|
|
|
Overlap Robustness
How well speaker identity survives light, mid, and heavy overlap in both meeting and domestic recordings.
|
#14/25
Needs work
|
Overlapping speakers
6.0722 EER from leader
|
13.7639
0.580907 minDCF
|
|
|
Accent / Dialect Robustness
How reliably the model tracks identity across accent and dialect mismatch.
|
#14/25
Needs work
|
Accent and dialect variation
6.1536 EER from leader
|
21.9151
0.690782 minDCF
|
|
|
Speaking-Style Robustness
Whether the model can preserve identity across emotion-driven change, whispered speech, and noise-induced Lombard speaking style.
|
#15/25
Needs work
|
Speaking style shift
3.5712 EER from leader
|
5.4878
0.330691 minDCF
|
|
|
Cross-Lingual Robustness
How well speaker identity survives enrollment-test language mismatch.
|
#15/25
Needs work
|
Language mismatch
3.8708 EER from leader
|
5.5284
0.374254 minDCF
|
|
|
Aging Robustness
How stable identity representations remain across age-derived and longitudinal recording gaps.
|
#16/25
Needs work
|
Speaker aging and time gaps
1.8505 EER from leader
|
3.6422
0.155018 minDCF
|
|
|
In-The-Wild Robustness
How strong the model is on unconstrained celebrity and media speech across official CN-Celeb and VoxCeleb protocols.
|
#16/25
Needs work
|
Open-domain media speech
4.2812 EER from leader
|
6.6673
0.251235 minDCF
|
|
|
Distance Robustness
How much performance changes across meeting and domestic distance mismatch.
|
#16/25
Needs work
|
Distance mismatch
7.8890 EER from leader
|
12.5832
0.554135 minDCF
|
|
|
Channel / Device Robustness
How resilient the model is to device and channel mismatch.
|
#17/25
Needs work
|
Device and channel variation
11.2211 EER from leader
|
15.1872
0.730291 minDCF
|
|
|
Short-Duration Robustness
How much performance holds up when speech evidence is limited by duration.
|
#18/25
Needs work
|
Short-duration speech
7.2214 EER from leader
|
15.8159
0.582696 minDCF
|
|
|
Genre-Shift Robustness
Whether performance holds when CN-Celeb enrollment and test speech come from different source genres.
|
#18/25
Needs work
|
Source-genre variation
14.4995 EER from leader
|
27.7395
0.802170 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
|
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
Current
|
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
|
#15/25
|
Cross-lingual
|
200000 |
5.5284
0.374254 minDCF
|
|
HI-MIA
HI-MIA
|
#17/25
|
Short-duration
|
660000 |
7.0967
0.323343 minDCF
|
|
GSC Short
Google Speech Commands
|
#20/25
|
Short-duration
|
220000 |
13.8900
0.693170 minDCF
|
|
GLOBE
GLOBE
|
#12/25
|
Accent/dialect
|
56848 |
25.1935
0.535991 minDCF
|
|
CN-Celeb
CN-Celeb
|
#16/25
|
In-the-wild
|
3484292 |
12.1487
0.429169 minDCF
|
|
CN-Celeb Genre
CN-Celeb
|
#18/25
|
Genre shift
|
440000 |
27.7395
0.802170 minDCF
|
|
CN-Celeb Short
CN-Celeb
|
#19/25
|
Short-duration
|
546964 |
27.2323
0.818788 minDCF
|
|
VoxCeleb1-O
VoxCeleb1
|
#14/25
|
In-the-wild
|
37611 |
0.8028
0.053980 minDCF
|
|
VoxCeleb1-E
VoxCeleb1
|
#16/25
|
In-the-wild
|
579818 |
0.9682
0.061025 minDCF
|
|
VoxCeleb1-H
VoxCeleb1
|
#17/25
|
In-the-wild
|
550894 |
1.7866
0.104900 minDCF
|
|
VoxCeleb Short
VoxCeleb1
|
#17/25
|
Short-duration
|
394724 |
15.0446
0.495483 minDCF
|
|
3D-Speaker Device
3D-Speaker
|
#15/25
|
Channel/device
|
180000 |
18.9467
0.845527 minDCF
|
|
3D-Speaker Distance
3D-Speaker
|
#14/25
|
Distance
|
175163 |
17.8119
0.808851 minDCF
|
|
3D-Speaker Dialect
3D-Speaker
|
#14/25
|
Accent/dialect
|
180000 |
18.6367
0.845573 minDCF
|
|
FFSVC 2022 Cross-Channel
FFSVC 2022
|
#19/25
|
Channel/device
|
72000 |
11.4278
0.615056 minDCF
|
|
FFSVC 2022 Cross-Domain
FFSVC 2022
|
#19/25
|
Distance
|
66546 |
11.5618
0.628141 minDCF
|
|
Whisper40 Whisper
Whisper40
|
#18/25
|
Speaking style
|
17600 |
11.8750
0.666250 minDCF
|
|
Lombard Grid Lombard
Lombard Grid
|
#16/25
|
Speaking style
|
29524 |
0.2235
0.014903 minDCF
|
|
VOiCES Noise/Reverb
VOiCES
|
#10/25
|
Noise/reverb
|
55000 |
4.7200
0.148640 minDCF
|
|
CHiME-6 Domestic Far-Field
CHiME-6
|
#14/25
|
Distance
|
36487 |
12.0892
0.487278 minDCF
|
|
CHiME-6 Overlap
CHiME-6
|
#15/25
|
Overlap
|
39600 |
17.1944
0.658028 minDCF
|
|
ESD
ESD
|
#15/25
|
Speaking style
|
437408 |
4.3650
0.310919 minDCF
|
|
AliMeeting Near/Far
AliMeeting
|
#16/25
|
Distance
|
220000 |
8.8700
0.292270 minDCF
|
|
AliMeeting Overlap
AliMeeting
|
#19/25
|
Overlap
|
165000 |
10.3333
0.503787 minDCF
|
|
VoxKnesset
VoxKnesset
|
#16/25
|
Aging
|
158312 |
5.4308
0.235319 minDCF
|
|
VoxPopuli Aging
VoxPopuli
|
#14/25
|
Aging
|
146575 |
1.8537
0.074717 minDCF
|