metadata

license: mit
language: so
tags:
  - tts
  - speaker-embedding
  - somali
  - speechbrain
  - vits
  - speecht5
library_name: speechbrain
base_model: speechbrain/spkrec-ecapa-voxceleb
pipeline_tag: feature-extraction

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 .wav files from speaker Ali
Sample Rate: 16kHz

Usage Example

import torch

# Load the embedding
embedding = torch.load("Ali_speaker_embedding.pt")