OpenSVBench Scenario-driven SV leaderboard
System Detail

palabraai/ redimnet2-b6

redimnet2

ranked review: approved PalabraAI ReDimNet2-B6

This page shows the global rank, scenario ranks, and trial-set results for this submission.

Global Position

#2/18

Public ranking position among reviewed full-core submissions.

Scenario-Macro EER
10.5277
Scenario-Macro minDCF
0.419432
Coverage

26/26

0 scenarios ranked #1 7 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: palabraai/redimnet2-b6
  • Source: PalabraAI
  • Architecture: ReDimNet2-B6
  • Submitted alias: redimnet2_b6_lm
  • Created at: 2026-05-29T14:38:17.385092+00:00
Training And Links

Training data and references

Higher-Ranked Scenarios

Scenario ranks above the global position

Show 3 supporting trial sets
  • VoxCeleb Short: #1 on its trial-set ranking.
  • VoxPopuli Aging: #2 on its trial-set ranking.
  • VoxCeleb1-O: #3 on its trial-set ranking.
Lower-Ranked Scenarios

Scenario ranks below the global position

Show 3 supporting trial sets
  • AliMeeting Near/Far: #10 on its trial-set ranking.
  • CN-Celeb: #9 on its trial-set ranking.
  • GSC Short: #8 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
Overlap Robustness
How well speaker identity survives light, mid, and heavy overlap in both meeting and domestic recordings.
#2/18 Top 3
Overlapping speakers 0.5598 EER from leader
10.6981
0.524446 minDCF
Aging Robustness
How stable identity representations remain across age-derived and longitudinal recording gaps.
#3/18 Top 3
Speaker aging and time gaps 0.3833 EER from leader
2.4530
0.088149 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.
#3/18 Top 3
Noise and reverberation 0.5400 EER from leader
3.1200
0.114220 minDCF
Distance Robustness
How much performance changes across meeting and domestic distance mismatch.
#3/18 Top 3
Distance mismatch 1.8161 EER from leader
11.0799
0.472944 minDCF
Channel / Device Robustness
How resilient the model is to device and channel mismatch.
#3/18 Top 3
Device and channel variation 6.6650 EER from leader
12.9753
0.641859 minDCF
Short-Duration Robustness
How much performance holds up when speech evidence is limited by duration.
#3/18 Top 3
Short-duration speech 0.7337 EER from leader
13.2481
0.531421 minDCF
Accent / Dialect Robustness
How reliably the model tracks identity across accent and dialect mismatch.
#3/18 Top 3
Accent and dialect variation 0.6978 EER from leader
21.1330
0.660821 minDCF
Cross-Lingual Robustness
How well speaker identity survives enrollment-test language mismatch.
#4/18 Competitive
Language mismatch 0.3031 EER from leader
4.7707
0.339730 minDCF
Speaking-Style Robustness
Whether the model can preserve identity across emotion-driven change, whispered speech, and noise-induced Lombard speaking style.
#5/18 Competitive
Speaking style shift 1.6608 EER from leader
4.4502
0.291976 minDCF
In-The-Wild Robustness
How strong the model is on unconstrained celebrity and media speech across official CN-Celeb and VoxCeleb protocols.
#5/18 Competitive
Open-domain media speech 1.2382 EER from leader
6.4216
0.208137 minDCF
Genre-Shift Robustness
Whether performance holds when CN-Celeb enrollment and test speech come from different source genres.
#5/18 Competitive
Source-genre variation 11.1825 EER from leader
25.4550
0.740052 minDCF
Trial-Set Results

Raw ranking by trial set

Expand this section to inspect the detailed trial-set rankings.

Show
Trial Set Rank Scenarios Trials Score
TidyVoiceX2-ASV
TidyVoiceX2-ASV
#4/18
Cross-lingual
200000
4.7707
0.339730 minDCF
HI-MIA
HI-MIA
#3/18
Short-duration
660000
5.7113
0.276288 minDCF
GSC Short
Google Speech Commands
#8/18
Short-duration
220000
12.3950
0.640440 minDCF
GLOBE
GLOBE
#3/18
Accent/dialect
56848
25.0193
0.533495 minDCF
CN-Celeb
CN-Celeb
#9/18
In-the-wild
3484292
12.2444
0.378920 minDCF
CN-Celeb Genre
CN-Celeb
#5/18
Genre shift
440000
25.4550
0.740052 minDCF
CN-Celeb Short
CN-Celeb
#4/18
Short-duration
546964
24.2213
0.769876 minDCF
VoxCeleb1-O
VoxCeleb1
#3/18
In-the-wild
37611
0.2871
0.019358 minDCF
VoxCeleb1-E
VoxCeleb1
#4/18
In-the-wild
579818
0.5198
0.031606 minDCF
VoxCeleb1-H
VoxCeleb1
#4/18
In-the-wild
550894
0.9892
0.061095 minDCF
VoxCeleb Short
VoxCeleb1
#1/18
Short-duration
394724
10.6649
0.439079 minDCF
3D-Speaker Device
3D-Speaker
#3/18
Channel/device
180000
17.2700
0.778607 minDCF
3D-Speaker Distance
3D-Speaker
#5/18
Distance
175163
17.6447
0.753012 minDCF
3D-Speaker Dialect
3D-Speaker
#3/18
Accent/dialect
180000
17.2467
0.788147 minDCF
FFSVC 2022 Cross-Channel
FFSVC 2022
#3/18
Channel/device
72000
8.6806
0.505111 minDCF
FFSVC 2022 Cross-Domain
FFSVC 2022
#4/18
Distance
66546
8.8886
0.517318 minDCF
Whisper40 Whisper
Whisper40
#7/18
Speaking style
17600
10.1875
0.646312 minDCF
Lombard Grid Lombard
Lombard Grid
#4/18
Speaking style
29524
0.0782
0.007675 minDCF
VOiCES Noise/Reverb
VOiCES
#3/18
Noise/reverb
55000
3.1200
0.114220 minDCF
CHiME-6 Domestic Far-Field
CHiME-6
#3/18
Distance
36487
8.4715
0.379560 minDCF
CHiME-6 Overlap
CHiME-6
#3/18
Overlap
39600
13.9722
0.658139 minDCF
ESD
ESD
#4/18
Speaking style
437408
3.0850
0.221939 minDCF
AliMeeting Near/Far
AliMeeting
#10/18
Distance
220000
9.3150
0.241885 minDCF
AliMeeting Overlap
AliMeeting
#3/18
Overlap
165000
7.4240
0.390753 minDCF
VoxKnesset
VoxKnesset
#3/18
Aging
158312
3.3600
0.138451 minDCF
VoxPopuli Aging
VoxPopuli
#2/18
Aging
146575
1.5460
0.037846 minDCF