
# 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](http://www.festvox.org/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](https://huggingface.co/mechanicalsea/speecht5-vc/blob/main/manifest/utils/prep_cmu_arctic_spkemb.py), which uses the `speechbrain/spkrec-xvect-voxceleb` model.

Usage:

```python
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)
```

task_categories:text-to-speech task_categories:audio-to-audio license:mit region:us
{"license": "mit", "task_categories": ["text-to-speech", "audio-to-audio"], "pretty_name": "CMU ARCTIC X-Vectors"}
TAGS
#task_categories-text-to-speech #task_categories-audio-to-audio #license-mit #region-us 


# 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:



# 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:
TAGS
#task_categories-text-to-speech #task_categories-audio-to-audio #license-mit #region-us 
 # 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:
passage: TAGS
#task_categories-text-to-speech #task_categories-audio-to-audio #license-mit #region-us 
# 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: