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ali-speaker-embedding-dataset
jellecali8/ali-speaker-embedding-dataset
ali-speaker-embedding-dataset is a feature extraction model from jellecali8. Use it when you need embeddings to search or compare text. It is set up for speechbrain. The card lists the license as mit.
This dataset contains a PyTorch .pt file that represents a speaker embedding for the Somali male speaker Ali.
Access
Public
Updated May 29, 2025
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At a glance
- Task
- Feature Extraction
- Library
- speechbrain
- License
- mit
- Access
- Public
- Created
- May 29, 2025
- Updated
- May 29, 2025
- SHA
- da6c45c9
Base models
Model card
From the Hugging Face model README
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")
- Task
- Feature Extraction
- Library
- speechbrain
- License
- mit
- Languages
- so
- Created
- May 29, 2025
- Updated
- May 29, 2025