Real-Time-Voice-Cloning | 5 seconds to generate arbitrary speech | Speech library

 by   CorentinJ Python Version: Current License: Non-SPDX

kandi X-RAY | Real-Time-Voice-Cloning Summary

kandi X-RAY | Real-Time-Voice-Cloning Summary

Real-Time-Voice-Cloning is a Python library typically used in Artificial Intelligence, Speech, Deep Learning, Pytorch applications. Real-Time-Voice-Cloning has no bugs, it has no vulnerabilities, it has build file available and it has medium support. However Real-Time-Voice-Cloning has a Non-SPDX License. You can download it from GitHub.

Clone a voice in 5 seconds to generate arbitrary speech in real-time

            kandi-support Support

              Real-Time-Voice-Cloning has a medium active ecosystem.
              It has 42399 star(s) with 7698 fork(s). There are 883 watchers for this library.
              It had no major release in the last 6 months.
              There are 137 open issues and 881 have been closed. On average issues are closed in 40 days. There are 6 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of Real-Time-Voice-Cloning is current.

            kandi-Quality Quality

              Real-Time-Voice-Cloning has 0 bugs and 0 code smells.

            kandi-Security Security

              Real-Time-Voice-Cloning has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              Real-Time-Voice-Cloning code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              Real-Time-Voice-Cloning has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              Real-Time-Voice-Cloning releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are available. Examples and code snippets are not available.
              Real-Time-Voice-Cloning saves you 2513 person hours of effort in developing the same functionality from scratch.
              It has 4334 lines of code, 307 functions and 59 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Real-Time-Voice-Cloning and discovered the below as its top functions. This is intended to give you an instant insight into Real-Time-Voice-Cloning implemented functionality, and help decide if they suit your requirements.
            • Train a model
            • Gradient op
            • Compute the similarity matrix
            • Calculate the loss for each prediction
            • Generate wave function
            • Sample from discretized mixture
            • Return random number of items from the queue
            • Convert tensor into one - hot tensor
            • Setup event handler
            • Syntrograms synthesis
            • Embed a utterance into an embedding
            • Preprocess a dataset
            • Forward pass through the model
            • Collate a batch of words
            • Compute the mean noise of a signal
            • Preprocess a wav file
            • Plot the alignment
            • Preprocess VoxCeleb1 dataset
            • Ensures that the default models exist
            • Preprocess a speaker
            • Runs the synthesizer
            • Discretized mixture logistic loss
            • Forward computation
            • Preprocess the speaker directory
            • Symbolize texts
            • Generate the model
            • Denoise the waveform of a wav file
            Get all kandi verified functions for this library.

            Real-Time-Voice-Cloning Key Features

            No Key Features are available at this moment for Real-Time-Voice-Cloning.

            Real-Time-Voice-Cloning Examples and Code Snippets

            Youtube Speech Data Generator,Final dataset structure
            Pythondot img1Lines of Code : 8dot img1License : Permissive (MIT)
            copy iconCopy
            │   ├───your_dataset1.txt
            │   └───your_dataset2.txt
            │    ├───your_dataset1.wav
            │    └───your_dataset2.wav

            Community Discussions

            Trending Discussions on Real-Time-Voice-Cloning


            Unable to activate virtual environment in Python
            Asked 2022-Mar-18 at 08:17

            I am on Windows 10, Python 3.10.2. Here are the commands that I ran to create the virtual environment:

            Here are my versions for packages:



            Answered 2022-Mar-18 at 05:41

            Make sure that in the windows PATH variable there is an entry with your python installation and the scripts subfolder eg: C:\Program Files (x86)\Python36-32\ and C:\Program Files (x86)\Python36-32\Scripts
            When using pip install virtualenv, make sure that you run cmd as administrator. Otherwise, there might an access denied error during installation and virtualenv will not be installed properly. Make sure that virtualenv has been installed correctly. Check in the python scripts subfolder - there must exist an .exe named virtualenv.exe. If not, uninstall will pip uninstall virtualenv and install again.


            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install Real-Time-Voice-Cloning

            Both Windows and Linux and supported. A GPU is recommended for training and for inference speed, but is not mandatory.
            Python 3.7 is recommended. Python 3.5 or greater should work, but you'll probably have to tweak the dependencies' versions. I recommend setting up a virtual environment using venv, but this is optional.
            Install ffmpeg. This is necessary for reading audio files.
            Install PyTorch. Pick the latest stable version, your operating system, your package manager (pip by default) and finally pick any of the proposed CUDA versions if you have a GPU, otherwise pick CPU. Run the given command.
            Install the remaining requirements with pip install -r requirements.txt
            Pretrained models are now downloaded automatically. If this doesn't work for you, you can manually download them here.
            For playing with the toolbox alone, I only recommend downloading LibriSpeech/train-clean-100. Extract the contents as <datasets_root>/LibriSpeech/train-clean-100 where <datasets_root> is a directory of your choosing. Other datasets are supported in the toolbox, see here. 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.


            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            gh repo clone CorentinJ/Real-Time-Voice-Cloning

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