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---
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pretty_name: CMU ARCTIC X-Vectors
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task_categories:
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- text-to-speech
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- audio-to-audio
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- text2text-generation
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- text-generation
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- translation
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- question-answering
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license: mit
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language:
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- es
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- en
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size_categories:
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- 10B<n<100B
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---
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# Speaker embeddings extracted from CMU ARCTIC |
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There is one `.npy` file for each utterance in the dataset, 7931 files in total. The speaker embeddings are 512-element X-vectors. |
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The [CMU ARCTIC](http://www.festvox.org/cmu_arctic/) dataset divides the utterances among the following speakers: |
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- bdl (US male) |
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- slt (US female) |
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- jmk (Canadian male) |
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- awb (Scottish male) |
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- rms (US male) |
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- clb (US female) |
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- ksp (Indian male) |
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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. |
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Usage: |
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```python |
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from datasets import load_dataset |
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embeddings_dataset = load_dataset("Matthijs/cmu-arctic-xvectors", split="validation") |
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speaker_embeddings = embeddings_dataset[7306]["xvector"] |
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speaker_embeddings = torch.tensor(speaker_embeddings).unsqueeze(0) |
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``` |
