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")
Downloads last month
0
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Model tree for jellecali8/ali-speaker-embedding-dataset

Finetuned
(3)
this model