ai-agents-voice-fixation-after-generating-a-random-speaker-embedding-that-p-5cb8b565

THEN Save the speaker embedding tensor to a file using torch.save. When needed, load it back with torch.load and pass it as the spk_emb parameter in the inference config. This preserves the exact voice across sessions.

# Save
import torch
torch.save(rand_spk, 'speaker/my_voice.pth')
# Load later
loaded_spk = torch.load('speaker/my_voice.pth')
params_infer_code['spk_emb'] = loaded_spk