Instructions to use jellecali8/ali-speaker-embedding-dataset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- speechbrain
How to use jellecali8/ali-speaker-embedding-dataset with speechbrain:
# interface not specified in config.json
- Notebooks
- Google Colab
- Kaggle
Ali Speaker Embedding Dataset
This dataset contains a PyTorch .pt file that represents a speaker embedding for the Somali male speaker Ali.
The embedding was generated using the speechbrain/spkrec-ecapa-voxceleb speaker recognition model from over 300 audio clips of the speaker's voice.
Dataset Details
- File:
Ali_speaker_embedding.pt - Format: PyTorch tensor (
.pt) - Embedding Size: 192-dimensional
- Language: Somali (
so) - Gender: Male
- Audio Source: 300 high-quality
.wavfiles from speaker Ali - Sample Rate: 16kHz
Usage Example
import torch
# Load the embedding
embedding = torch.load("Ali_speaker_embedding.pt")
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Model tree for jellecali8/ali-speaker-embedding-dataset
Base model
speechbrain/spkrec-ecapa-voxceleb