![]() Use the "Audio formatting" tool to convert this to the required. WEM to OGG - a tool to convert from a common audio format found in game files, to a playable.Audio Normalization - a tool which normalizes (EBU R128) audio to standard loudness.AI source separation - an AI model that can remove background noise, music, and echo from an audio clip of speech.The audio slices are additionally separated automatically into different individual speakers AI speaker diarization - an AI model that automatically extracts short slices of speech audio from otherwise longer audio samples (including feature length movie sized audio clips).Audio formatting - a tool to convert from most audio formats into the required 22050Hz mono.Depending on what sources your data is from, you can pick which tools you need to use, to prepare your dataset to match that format. There is no step-by-step order that they need to be operated in, so long as your datasets end up as 22050Hz mono wav files of clean speech audio, up to about 10 seconds in length, with an associated transcript file with each audio file's transcript. There are several data pre-processing tools included in xVATrainer, to help you with almost any data preparation work you may need to do, to prepare your datasets for training. It further provides recording capabilities, if you need to record a dataset of your own voice, straight through the app, into the correct format. The main screen of xVATrainer contains a dataset explorer, which gives you an easy way to view, analyse, and adjust the data samples in your dataset. Model training - The bit where the models actually train on the datasets.Data preparation/pre-processing tools - Used for creating datasets of the correct format, from whatever audio data you may have.Dataset annotation - where you can adjust the text transcripts of existing/finished datasets, or record new data for it over your microphone.There are three main components to xVATrainer: Join the Discord for any assistance, with this, or any of the steps in using it, or publishing your creations. zip file anywhere (on an SSD would be best for speed), overwrite with any patches, and run the. To install xVATrainer, extract all the files from the. You will of course still need xVASynth for actually using the voice models you create with xVATrainer. This is a standalone app, not related to xVASynth. ![]()
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