ai-agents-speaker-persistence-when-you-need-to-reuse-a-specific-speaker-timbre-a-16c5d803

THEN Generate a random speaker embedding using the sample_random_speaker() method, test the resulting timbre, and if satisfactory, save it to disk with torch.save(). For subsequent reuse, load the saved embedding with torch.load() and pass it as the 'spk_emb' parameter in the params_infer_code dictionary.

rand_spk = chat.sample_random_speaker()
# after testing and finding timbre acceptable:
torch.save(rand_spk, 'speaker/girl4.pth')
# later reuse:
rand_spk = torch.load('speaker/girl4.pth')
params_infer_code['spk_emb'] = rand_spk