larynx | End to end text to speech system using gruut and onnx | Speech library

by rhasspy Python Version: 1.1.0 License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | larynx Summary

larynx is a Python library typically used in Artificial Intelligence, Speech applications. larynx has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install larynx' or download it from GitHub, PyPI.

Offline end-to-end text to speech system using gruut and onnx (architecture). There are 50 voices available across 9 languages. Visit for the test page. See for HTTP endpoint documentation.

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Support

larynx has a low active ecosystem.

It has 766 star(s) with 44 fork(s). There are 21 watchers for this library.

It had no major release in the last 12 months.

There are 40 open issues and 30 have been closed. On average issues are closed in 39 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of larynx is 1.1.0

Quality

larynx has no bugs reported.

Security

larynx has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

larynx is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

larynx releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed larynx and discovered the below as its top functions. This is intended to give you an instant insight into larynx implemented functionality, and help decide if they suit your requirements.

Main function .
Get CLI arguments .
Convert text to speech .
Initialize inference .
Return a TextToSpeechModel instance .
Run a sentence to speech recognition .
Convert text to a WAV file .
Download a video .
Convert a list of phonemes ids to tensors .
Get a dictionary of all available voices .

Get all kandi verified functions for this library.

larynx Key Features

No Key Features are available at this moment for larynx.

larynx Examples and Code Snippets

No Code Snippets are available at this moment for larynx.

Community Discussions

Trending Discussions on larynx

The total value alongside the percentage displayed on the top of Bar charts

QUESTION

The total value alongside the percentage displayed on the top of Bar charts

Asked 2022-Mar-05 at 10:28

my dataframe is here

...

ANSWER

Answered 2022-Mar-05 at 10:28

The "strange" labels you get come from your scales::percent(perc) use inside the glue function. This transforms a value that was already manually scaled to be % again by 100 (80 to 8000%). You can either manually define the labels, or pass a scale = 1 argument. Preparing the labels already in the dataframe:

Source https://stackoverflow.com/questions/71357153

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

Vulnerabilities

No vulnerabilities reported

Install larynx

Pre-built Docker images are available for the following platforms:. These images include a single English voice, but many more can be downloaded from within the web interface. The larynx and larynx-server shell scripts wrap the Docker images, allowing you to use Larynx as a command-line tool.
linux/amd64 - desktop/laptop/server
linux/arm64 - Raspberry Pi 64-bit
linux/arm/v7 - Raspberry Pi 32-bit
Pre-built Debian packages are available for download with the name larynx-tts_<VERSION>_<ARCH>.deb where ARCH is one of amd64 (most desktops, laptops), armhf (32-bit Raspberry Pi), and arm64 (64-bit Raspberry Pi).
Start by creating a virtual environment:.
Voices and vocoders are automatically downloaded when used on the command-line or in the web server. You can also manually download each voice. Extract them to ${HOME}/.local/share/larynx/voices so that the directory structure follows the pattern ${HOME}/.local/share/larynx/voices/<language>,<voice>.

Support

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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