ai-agents-voice-customization-user-wants-to-reuse-a-preferred-speaker-voice-acro-3a53b7fd

THEN After generating a random speaker embedding with chat.sample_random_speaker() and verifying the voice quality, save the embedding tensor using torch.save(rand_spk, 'path_to_file.pth'). Load it later with torch.load('path_to_file.pth') to reuse the same speaker identity.

# Save a liked speaker embedding
torch.save(rand_spk, 'speaker/girl4.pth')

# Load for reuse
rand_spk = torch.load('speaker/girl4.pth')