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  • steam
  • GameCharts     Steam    xVATrainer
    Month Avg. Players Gain % Gain Peak Players
    December 2025 1 1 --- 4
    November 2025 0 0 --- 2
    October 2025 0 0 --- 2
    September 2025 0 0 --- 1
    August 2025 0 0 --- 3
    July 2025 0 0 --- 3
    June 2025 0 -2 -100% 4
    May 2025 2 1 100% 7
    April 2025 1 0 0% 4
    March 2025 1 0 0% 5
    February 2025 1 -1 -50% 6
    January 2025 2 2 --- 6
    December 2024 0 0 --- 2
    November 2024 0 -1 -100% 4
    October 2024 1 1 --- 4
    September 2024 0 0 --- 2
    August 2024 0 -1 -100% 4
    July 2024 1 1 --- 6
    June 2024 0 0 --- 4
    May 2024 0 -1 -100% 5
    April 2024 1 1 --- 4
    March 2024 0 -1 -100% 5
    February 2024 1 1 --- 5
    January 2024 0 -1 -100% 4
    December 2023 1 0 0% 5
    November 2023 1 1 --- 6
    October 2023 0 0 --- 3
    September 2023 0 0 --- 3
    August 2023 0 -2 -100% 5
    July 2023 2 -1 -33.33% 7
    June 2023 3 1 50% 9
    May 2023 2 0 0% 9
    April 2023 2 0 0% 8
    March 2023 2 0 0% 7
    February 2023 2 -2 -50% 7
    January 2023 4 1 33.33% 11
    December 2022 3 1 50% 7
    November 2022 2 -2 -50% 7
    October 2022 4 2 100% 9
    September 2022 2 -3 -60% 8
    August 2022 5 0 0% 11
    July 2022 5 0 0% 10
    June 2022 5 0 0% 12
    May 2022 5 -4 -44.44% 14
    April 2022 9 9 --- 22
    March 2022 0 --- --- 0

    About xVATrainer

    xVATrainer is the companion app to xVASynth, the AI text-to-speech app using video game voices. xVATrainer is used for creating the voice models for xVASynth, and for curating and pre-processing the datasets used for training these models.Dataset annotation
    The main screen of xVATrainer contains a dataset explorer, which gives you an easy way to view, analyze, and adjust the data samples in your dataset. It further provides recording capabilities, if you need to record a dataset of your own voice, straight through the app, into the correct format.Trainer
    xVATrainer contains AI model training, for the FastPitch1.1 (with modified training set-up), and HiFi-GAN models (the xVASynth "v2" models). The training follows a multi-stage approach especially optimized for maximum transfer learning (fine-tuning) quality. The generated models are exported into the correct format required by xVASynth, ready to use for generating audio with.

    Batch training is also s...