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espnet/voxcelebs12_ebranchformer_base
voxcelebs12_ebranchformer_base is a audio classification model from espnet. Use it for the audio classification task on the model card, and read the license before you ship it in a product. It is set up for espnet. The card lists the license as cc-by-4.0.
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.pth156 MB · 99%
From the Hugging Face model README
import librosa
from espnet2.bin.spk_inference import Speech2Embedding
speech2embedding = Speech2Embedding.from_pretrained(model_tag="espnet/voxcelebs12_ebranchformer_base")
# the speaker models are trained on 16 kHz mono; librosa gives that from
# whatever the file holds
speech, rate = librosa.load("audio.wav", sr=16000, mono=True)
embedding = speech2embedding(speech) # (1, embedding_dim)
date: 2024-11-11 13:27:22.449116
| Mean | Std | |
|---|---|---|
| Target | 8.1720 | 3.9750 |
| Non-target | 2.0805 | 2.0805 |
| Model name | EER(%) | minDCF |
|---|---|---|
| conf/tuning/train_ebranchformer_aggregate_sys1_D384_L6_Rel_LayerDrop | 0.638 | 0.04797 |