Project AURIONAI Use-Cases Research & Innovation
SpeechBrain community
speaker

ECAPA-TDNN (SpeechBrain)

Speaker verification embedding model.

Figure from the ECAPA-TDNN paper: network topology with SE-Res2Blocks and attentive statistics pooling.
Levelmodel
Classspeaker
Parametersnot in the notes
Contextnot in the notes
Releasednot in the notes
Opennessopen weights permissive
Runs onnot in the notes
Statusactive

Benchmark Results

vendor-reported
cleaned VoxCeleb1, speaker verificationvendor-reported
0.8
00.40.8

Score in EER %. Lower is better.

Where this comes from
Every score names who ran it: vendor-reported, maintainer-run or independent. A rank is shown with the population it was ranked in (gap rule 3).

R&D Topics

Identity

Developer
SpeechBrain community
Family
not in the notes
Released
– sources
Weights published
–
Record checked
10 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.

Architecture and Size

Architecture
other
Total parameters
– sources
Active parameters
–
Checkpoint parameters
–
Context length
not in the notes
Input
audio
Output
not in the notes
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).

Openness and Access

Openness
open weights permissive
Licence
Apache License 2.0 sources
Access routes
open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
not in the notes
Footprint
not in the notes
Runtimes
not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.

Indonesia

Indonesian support
not stated
Regional languages
not in the notes
Jakarta hosting
unknown
Languages
not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.

Lineage

The notes record no lineage for this model.

Industry Use Cases

No industry use case links this model.

Sources

  1. Top 7 Speaker Diarization APIs and Models in 2026 - pyannoteAI Speaker Intelligence and Diarization pyannote.ai https://www.pyannote.ai/blog/top-7-speaker-diarization-apis-and-models-in-2026

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "ECAPA-TDNN (SpeechBrain)", https://aurion.semai.id/models/speechbrain-ecapa-tdnn/, records of October 2026.