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when training with audio 5s-7s it works but at
training with an audio of 15s-20s gives me the following error
100%|██████████| 100/100 [00:03<00:00, 27.04it/s]
AssertionError Traceback (most recent call last) in <cell line: 7>()
5 """
6 voice_name = "/content/bark-with-voice-clone/bark/assets/prompts/output5.npz" # use your custom voice name here if you have one
----> 7 audio_array = generate_audio(text_prompt, history_prompt=voice_name)
tried it to with longer but indeed the same error.
i do wonder how much training there actualy is i think there are allot of randomized settings inside the generate_audio since even running it twice one same text with "cloned" voice produces very diffrent results.
so far none of ai voice generators i have tried actualy came close to resembling the input.
and even switching voice from female to male mid sentence.
not sure if there is a method to train 1 voice on multiple short pieces of audio.
error when training with long audios.
when training with audio 5s-7s it works but at
training with an audio of 15s-20s gives me the following error
100%|██████████| 100/100 [00:03<00:00, 27.04it/s]
AssertionError Traceback (most recent call last)
in <cell line: 7>()
5 """
6 voice_name = "/content/bark-with-voice-clone/bark/assets/prompts/output5.npz" # use your custom voice name here if you have one
----> 7 audio_array = generate_audio(text_prompt, history_prompt=voice_name)
2 frames
/usr/local/lib/python3.9/dist-packages/bark/generation.py in generate_coarse(x_semantic, history_prompt, temp, top_k, top_p, use_gpu, silent, max_coarse_history, sliding_window_len, model)
522 else:
523
--> 524 x_history = np.load(
525 os.path.join(CUR_PATH, "assets", "prompts", f"{history_prompt}.npz")
526 )
AssertionError:
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