There are three subtypes of concatenative synthesis, which we’ll discuss later.īut generally, this approach does not yield the best voice quality because of how it pulls these units together. The definition of concatenative is to link in a series or put things in an order dependent upon each other.Ĭoncatenative synthesis searches phonemes, distinct units of sound in a specific language, and strings together these pieces of recorded speech to produce synthesized speech. The most common method in producing an artificially created voice is called concatenative synthesis. How does the AI voice modeling process work?Ĭovered briefly in our third blog in the series, understanding text-to-speech AI, you might be wondering more technically how AI professionals use this training data to create a custom synthetic voice. Usually, this list won’t exceed 4,000 phrases, but the goal is really to capture as much data around someone’s unique voice as possible-the more data you capture, the more accurate the voice clone. This list usually contains thousands of phrases. The voice solutions team will provide a comprehensive list of phrases to capture all the characteristics of one’s voice.

The recording process can take a few hours to several depending on the aspects of the project and schedule. Without clean audio recordings of one’s voice, there’s no way to successfully train the AI models to capture all the intricate details unique to a person’s speech.

This task is the most significant commitment on the client-side. If you do not have a library of prerecorded clips to source your voice data, you must get into a studio and record. But not everyone already has hours of audio of their voice readily available. Naturally, if you work in podcasting, you’ll have this audio available. Veritone followed this approach quite recently with Bryan Barletta of Sounds Profitable. First, if you have hours of audio of your voice available, they can use that to create the necessary training data. There are two methods to source this data. Training data is the first essential item you need to start creating a synthetic voice. Sourcing training data for synthetic voice creation

How to create an AI voice using standard output methods?.

How does the AI voice modeling process work?.

Sourcing training data for synthetic voice creation.

While we have covered the topic of synthetic voice and its potential use cases, we will uncover exactly how to create a synthetic voice in this sixth and final blog.

So far in this blog series, we’ve covered deepfake voice, voice cloning, text-to-speech AI, synthetic voice, and deepfake voice fraud.

Voice deepfake app