xVATrainer PC

xVATrainer jest darmowe! Pobierz gr臋 na Steam i zacznij gra膰 od razu. Szukasz DLC do xVATrainer, waluty w grze lub dodatk贸w kosmetycznych? Por贸wnaj 0 ofert na XD.deals i wybierz najlepsz膮.

Premiera: 01 kwi 2022
Wydawca: Dan Ruta
Developer: Dan Ruta
Steam:
Overwhelmingly Positive (14)
Official
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Keyshops
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Kup w oficjalnym sklepie:
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Kup w keyshopach:
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Brak ofert, ale spokojnie - damy zna膰, gdy pojawi si臋 nowa.

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O xVATrainer

xVATrainer - o grze

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. Check the nexusmods page description for more details, instructions, and updates. Join the Discord for support, and community advice.

IMPORTANT: The "priors" files NEED to be installed for v3 voice training to be possible. Don't forget to download and install these. This is synthetic data (+ some real data from the NVIDIA HIFI TTS and VCTK datasets) to maintain multi-lingual and voice range capabilities when fine-tuning individual voices, similar to Dreambooth training. Due to steam filesize uploads, these can be freely downloaded from the nexusmods xVATrainer page.
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 supported, allowing you to queue up any number of datasets to train, with cross-session persistence. The training panel shows a cmd-like textual log of the training progress, a tensorboard-like visual graph for the most relevant metrics, and a task manager-like set of system resources graphs.
Tools

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. 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. 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. The included tools are:


  • Audio formatting - a tool to convert from most audio formats into the required 22050Hz mono .wav format
  • 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). The audio slices are additionally separated automatically into different individual speakers
  • AI source separation - an AI model that can remove background noise, music, and echo from an audio clip of speech
  • Audio Normalization - a tool which normalizes (EBU R128) audio to standard loudness
  • WEM to OGG - a tool to convert from a common audio format found in game files, to a playable .ogg format. Use the "Audio formatting" tool to convert this to the required .wav format
  • Cluster speakers - a tool which uses an AI model to encode audio files, and then clusters them into a known or unknown number of clusters, either separating multiple speakers, or single-speaker audio styles
  • Speaker similarity search - a tool which encoders some query files, a larger corpus of audio files, and then re-orders the larger corpus according to each file's similarity to all the query files
  • Speaker cluster similarity search - the same as the "Speaker similarity search" tool, but using clusters calculated via the "Cluster speakers" tool as data points in the corpus to sort
  • Transcribe - an AI model which automatically generates a text transcript for audio files
  • WER transcript evaluation - a tool which examines your dataset's transcript against one auto-generated via the "Transcribe" tool to check for quality. Useful when supplying your own transcript, and checking if there are any transcription errors.
  • Remove background noise - a more traditional noise removal tool, which uses a clip of just noise as reference to remove from a larger corpus of audio which consistently has matching background noise
  • Silence Split - A simple tool which splits long audio clips based on configurable silence detection
Special thanks:

D0lphin, flyingvelociraptor, Caden Black, Max Loef, LadyVaudry, Thuggysmurf, radbeetle, TomahawkJackson, Solstice_, Bungles, midori95, eldayualien, John Detwiler, Cecell, Wandering Youth, ellia, Retlaw83, Trixie, CHASE MCKELVY, Leif, ionite, Joshua Jones, Jaktt1337, David Keith vun Kannon, Netherworks (Jo-Jo), neci, Rachel Wiles, Imogen, Deer, Linthar, sadfer, Danielle, Hector Medima, Sh1tMagnet, ReaperStoleMyStyle, AshbeeGaming, TCG, Lady Steel, Mikkel Jensen, CookieGalaxy, GrumpyBen, Adrilz, ReyVenom, dog, bourbonicRecluse, ShiningEdge, Dozen9292, manlethamlet, smokeandash, Elias V, EnculerDeTaMere, SKiLLsSoLoN, J, finalfrog, Hound740, Buck, Yael van Dok, ChrisTheStranger, Isabel, Fuzzy Lonesome, Drake, Beto, AceAvenger, bobbigmac, Alexandra Whitton, yic17, Joebobslim, ThatGuyWithaFace, Sergey Trifonov, Zensho, AgitoRivers, beccatoria, valo999, Ne0nFLaSH, Caro Tuts, Jack in the Hinter, Hammerhead96 ., Bewitched, Para, Wht??? Why??, Shadowtigers, PConD, Lulzar, Ryan W, Wyntilda, Gorim, Krazon, Tako-kun, Walt, Katsuki, Ember2528, RetconReality, Hazel Louise Steele, Laura Almeida, Althecow, PatronGuy, squirecrow, cramonty, crash blue, Syrr, David, Hawkbar, John S., Autumn, pimphat, FeralByrd, Comical, Dogmeat114, Dezmar-Sama, Michael Gill, Jacob Garbe, NerfViking, Dinonugget, RedneckJP007, stormalize, Golem, Luckystroker, Hapax, Vahzah Vulom, Tempuc, CAW CAW, stljeffbb, bart, MrJoy, Zoenna, Calvin, Aosana Bluewing, Dan Brookes, CDante, HunterAP, Kadisra, candied_skull, hairahcaz, nairaiwu, Mar, Paraffine, Nawen_Syaka, Amy Parker, Loseron, katiefraggle, Freon, deepbluefrog, myles.app, hanbonzan, Scientist Salari-Ren, Roman Tinkov, zackc1play, An abstract kind of horror, L, Mihu123, Trisket, Aelarr, Flipdark95, Timo Steiner, humocs, Optimist Vamscenes, Patrick VanDusen, praxis22, Rui Orey, Craig Fedynich, FrenchToast, Dorpz, cesm23, BoB, Cutup, Botty Butler, tjn2222, Matthew Warren, Tom Green, Passionate Lobster, Precipitation, Veks, Baki Balcioglu, Fenris, Patrik K., Oddbrother, E.M.A, DrogerKerchva, Camurai, hthek, iggyzee, Moppy, Stee_Muttlet, asbestos my beloved, TrueBlue, something106, woah00z, Sam Darling, JoshuaJSlone, vvvpppmmm, OvrTheTopMan, munchyfly, DarkNemphis, Justin McGough, Billyro, DIY_Rene, kevmasters, Stu, Sasquatch Bill, Inconsistent, Gothic 3 The Age of War, www48, Slothman, mavrodya petrov, ronaldomoon, Kostin Oleksandr Anatoliiovych, Ryan Lippen, Edward Hyde, Echoes, Vape Gwagwa, Kelg Celcs, Kneelers, Meryl Coker, Alan Gonzalez, PTC001, Hector Medima, CinnaMewRoll, Grant Spielbusch, Sean Lyons, Charles Hufnagel, Kirill Akimov, Mister Lyosea, Anthony Crane, Sh1tMagnet
Steam:
Overwhelmingly Positive (14)

Historia cen

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FAQ

8 pyta艅

Zanim zaczniesz szuka膰 taniego klucza xVATrainer (CD Key), sprawd藕 najwa偶niejsze informacje. Tw贸rcy: Dan Ruta. Wydawca: Dan Ruta. Data premiery na PC: 01 kwi 2022. Gatunki: Audio Production. Recenzje xVATrainer: Recenzje Steam: 100% of the 14 user reviews for this game are positive.

Q Czy xVATrainer dzia艂a na Steam Decku?

Nie, na ten moment. Valve oznacza xVATrainer jako Unsupported, wi臋c gra nie uruchamia si臋 przez Proton. 艢led藕 XD.deals - monitorujemy post臋py Protona i spo艂eczno艣ciowe obej艣cia, a gdy pojawi si臋 dzia艂aj膮ce rozwi膮zanie, oznaczymy mo偶liwo艣膰 uruchomienia xVATrainer na Steam Decku.

Tak. Istnieje wersja xVATrainer na Steam. Wybierz ofert臋 oznaczon膮 jako Steam Key na XD.deals, aktywuj j膮 w kliencie Steam i graj w xVATrainer na PC.

Tak. Po aktywacji klucza Steam mo偶esz uruchomi膰 xVATrainer w trybie Offline w Steam. Zapisy zsynchronizuj膮 si臋 przy nast臋pnym po艂膮czeniu z internetem.

Tak, mo偶esz kupi膰 klucz Steam do xVATrainer bezpo艣rednio w sklepie Steam. W XD.deals zbieramy wszystkie oferty z DRM Steam, aby艣 m贸g艂 por贸wna膰 tanie promocje na xVATrainer na Steam w jednym miejscu.

Obecnie nie mamy aktywnych ofert dla xVATrainer - zar贸wno w oficjalnych sklepach (0), jak i w keyshopach (0) gra jest wyprzedana lub chwilowo niedost臋pna...

Dzi臋ki XD.deals gracze PC mog膮 od razu sprawdzi膰, gdzie kupi膰 tani klucz xVATrainer na PC (Steam). Nasz silnik por贸wnuj膮cy ceny w czasie rzeczywistym oraz baza kupon贸w 艣ledz膮 oficjalne sklepy i zaufane keyshopy, 偶eby艣 nie musia艂. Obecnie wykrywamy 0 aktywnych ofert z oficjalnych sklep贸w i keyshop贸w.

Jeszcze nie. Obecnie nie ma listingu xVATrainer na Steam, wi臋c nie mo偶esz kupi膰 xVATrainer na Steam. Zamiast tego sprawd藕 inne oferty xVATrainer na XD.deals - oficjalne sklepy i keyshopy cz臋sto oferuj膮 wersje bez DRM lub klucze do innych launcher贸w, zanim tytu艂 trafi na Steam.

Nie - XD.deals nie jest sklepem. Jeste艣my por贸wnywark膮 cen, kt贸ra 艣ledzi najlepsze oferty na xVATrainer w oficjalnych sklepach i zweryfikowanych keyshopach. Kliknij "Przejd藕 do sklepu" przy wybranej ofercie, a przekierujemy Ci臋 na stron臋 sprzedawcy, gdzie doko艅czysz zakup i odbierzesz klucz.

Chcesz kupi膰 w najlepszym momencie? Ustaw alert cenowy na XD.deals i otrzymaj powiadomienie, gdy xVATrainer ponownie osi膮gnie historycznie najni偶sz膮 cen臋.

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