The process of voice cloning consists of many essential steps such as data collection with great care and effort… The first thing you should do to create a sharp clone is get some good, clean audio samples of the intended voice. For generating a very basic clone, it usually requires clear isolated speech for at least 30 seconds to a minute, but more data drastically boosts overall accuracy. WaveNet of Google or Jukebox by OpenAI trained over hours this isn't something you can go out and collect 10 minutes worth of speech data that will completely represent the voice, how it sounds, pitch pattern, rhythm etc.. so it is professional system.
Then, you will have to submit the audio recorded voice over to a voice cloning platform. A few good services like DupDub and Resemble AI provide easy-to-use interfaces to uploading voice data. For this they work based on neural networks, with deep learning models such as Transformer or Tacotron 2 to read the speech. After the audio is processed by AI, it will start to learn affordances of the voice and eventually be able to trace its patterns very closely which would enable this system to imitate the voice exactly. More advanced platforms can also mimic the emotion and pitch of a voice, however this typically requires bigger datasets and more compute power.
The time-to-process of the voice cloning process may vary depending on your platform and input data size. While a basic voice clone running one minute of drivers, can be carried out on most platforms in approx 10 to 30 minutes. On the other hand, systems designed for more accuracy — like those used in professional contexts may need hours and sometimes even days to fully train themselves, specially when using complex algorithms such as based on Generative Adversarial Networks. These models, which do more than just generate speech, but rather aim to "normalize" its intonation in order to improve acceptability compared to simpler Text-to-Speech (TTS) systems and reduce robotic inflections by up to 15 points decided the release date.
Subsequent to having made a voice-copy, the AI model can be tried by contribution of content, and will speak out what was composed in the txet. It is already happening through companies like Amazon, and Google who have introduced this type of technology to their virtual assistants which they say are now managing over 30% of daily customer interactions worldwide. The effectiveness of these two-strong interfaces is however dependent on how well the software can capture both the subtle vocal inflections a voice can do as well as its emotional range.
Elon Musk even said of AI, "With artificial intelligence we are summoning the demon," before backtracking and admitting, "I won't be the first one to welcome our new robot overlords. This illustrates that its necessary voice cloning in a responsible way. Obviously, in order to clone a voice users must ensure they have legal rights to it or within parameters which do not infringe upon such rights — this is necessary for ethical and privacy considerations.
Anyone who wants to experiment with voice cloning, DupDub offers a convenient gateway for creating a voice clone in very little time. Not just does it produce outputs of top quality, however the method is beginner-friendly as well as pro-level.