The idea for this thread I can credit to initially misreading the tittle of this thread (" TS 10 clone"), then giving it the inexpensive twist: Ĭlick to expand.Well, I get what you are saying to some extend. Clone: Mooer E-Lady- Original: EHX Electric Mistress (Flanger) Clone: Mooer Tender Octaver - Original: EHX Micro POG (Polyphonic digital octaver) Clone: Behringer SF300 Super Fuzz- Original: Boss FZ-2 Fuzz - Actually really originaly based on a Univox Super Fuzz, although not an exact clone (Fuzz) Clone: Behringer HM300 Heavy Metal - Original: Boss HM-2 Heavy Metal (Distortion) Clone: Behringer GDI21- Original: Tech 21 GT-2 (preamp/overdrive) Clone: Behringer BDI21 - Original: Tech 21 Bass Driver DI (preamp/overdrive) Clone: Joyo California Sound- Original: Tech 21 California (preamp/overdrive ) Clone: Joyo British Sound- Original: Tech 21 British (preamp/overdrive ) Clone: Joyo American Sound - Original: Tech 21 Blonde (preamp/overdive ) Clone: Joyo Ultimate Drive - Original: Fulltone OCD (overdrive) Here's mine, in no particular order (and predominantly seen from a bass player's perspective, since bass is my first instrument of choice, even if I do play guitar too): If you are running an X-server or if you have the error Aborted (core dumped), see this issue.So as the tittle says, what are your top ten of great inexpensive clones of known original pedals, including both the name of the clone and the original pedal on the list and eventual also effect type. Launch the Toolboxĭepending on whether you downloaded any datasets. You're free not to download any dataset, but then you will need your own data as audio files or you will have to record it with the toolbox. Other datasets are supported in the toolbox, see here. Extract the contents as /LibriSpeech/train-clean-100 where is a directory of your choosing. (Optional) Download Datasetsįor playing with the toolbox alone, I only recommend downloading LibriSpeech/train-clean-100. (Optional) Test Configurationīefore you download any dataset, you can begin by testing your configuration with: Run pip install -r requirements.txt to install the remaining necessary packages.ĭownload the latest here.Python 3.6 or 3.7 is needed to run the toolbox. It adds a big overhead, so it's not recommended if you have enough VRAM. Pass -low_mem to demo_cli.py or demo_toolbox.py to enable it. You can use your trained encoder models from this repo with it.Ġ6/07/19: Need to run within a docker container on a remote server? See here.Ģ5/06/19: Experimental support for low-memory GPUs (~2gb) added for the synthesizer. Go here for more info.Ģ0/08/19: I'm working on resemblyzer, an independent package for the voice encoder. If you're planning to work on a serious project, my strong advice: find another TTS repo. If this is not your case: proceed with this repository, but you might end up being disappointed by the results.You will get a better voice quality and less prosody errors. If you just want to clone your voice (and not someone else's): I recommend our free plan on Resemble.AI.Generalized End-To-End Loss for Speaker Verificationġ4/02/21: This repo now runs on PyTorch instead of Tensorflow, thanks to the help of If you wish to run the tensorflow version instead, checkout commit 5425557.ġ3/11/19: I'm now working full time and I will not maintain this repo anymore. Tacotron: Towards End-to-End Speech Synthesis Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis SV2TTS is a three-stage deep learning framework that allows to create a numerical representation of a voice from a few seconds of audio, and to use it to condition a text-to-speech model trained to generalize to new voices. Mostly I would recommend giving a quick look to the figures beyond the introduction. Feel free to check my thesis if you're curious or if you're looking for info I haven't documented. Multispeaker Text-To-Speech Synthesis (SV2TTS) with a vocoder that works in real-time. This repository is an implementation of Transfer Learning from Speaker Verification to
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |