| pretty_name: CMU ARCTIC X-Vectors | |
| task_categories: | |
| - text-to-speech | |
| - audio-to-audio | |
| license: mit | |
| language: | |
| - en | |
| # 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) | |
| ``` |