metadata

pretty_name: CMU ARCTIC X-Vectors
task_categories:
  - text-to-speech
  - audio-to-audio
  - text2text-generation
  - text-generation
  - translation
  - question-answering
license: mit
language:
  - es
  - en
size_categories:
  - 10B<n<100B

Speaker embeddings extracted from CMU ARCTIC

There is one .npy file for each utterance in the dataset, 7931 files in total. The speaker embeddings are 512-element X-vectors.

The CMU ARCTIC dataset divides the utterances among the following speakers:

bdl (US male)
slt (US female)
jmk (Canadian male)
awb (Scottish male)
rms (US male)
clb (US female)
ksp (Indian male)

The X-vectors were extracted using this script, which uses the speechbrain/spkrec-xvect-voxceleb model.

Usage:

from datasets import load_dataset
embeddings_dataset = load_dataset("Matthijs/cmu-arctic-xvectors", split="validation")

speaker_embeddings = embeddings_dataset[7306]["xvector"]
speaker_embeddings = torch.tensor(speaker_embeddings).unsqueeze(0)