DeepSpeech-Italian-Model | producing Italian model

by MozillaItalia Python Version: 2020.08.07 License: GPL-3.0

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

kandi X-RAY | DeepSpeech-Italian-Model Summary

DeepSpeech-Italian-Model is a Python library typically used in Manufacturing, Utilities, Machinery, Process applications. DeepSpeech-Italian-Model has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However DeepSpeech-Italian-Model build file is not available. You can download it from GitHub.

Aggregatore degli strumenti per la generazione di un modello di machine learning per la lingua Italiana del progetto Common Voice. Ci trovi su Telegram con il nostro bot @mozitabot nel gruppo Developers dove dirigiamo e discutiamo lo sviluppo oppure sul forum.

Support

Quality

Security

License

Reuse

Support

DeepSpeech-Italian-Model has a low active ecosystem.

It has 59 star(s) with 16 fork(s). There are 13 watchers for this library.

It had no major release in the last 12 months.

There are 15 open issues and 48 have been closed. On average issues are closed in 69 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of DeepSpeech-Italian-Model is 2020.08.07

Quality

DeepSpeech-Italian-Model has 0 bugs and 0 code smells.

Security

DeepSpeech-Italian-Model has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

DeepSpeech-Italian-Model code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

DeepSpeech-Italian-Model is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

DeepSpeech-Italian-Model releases are available to install and integrate.

DeepSpeech-Italian-Model has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Collect corpus files
Execute dataset balancing
Create a vocabulary from rows
Convert text to word sequence
Resample a single sample
Try to convert a wav file
Preprocess transcript
Validate label
Parse all JSON files in the input folder
Processes a page
Unzip the file
Check if the given text contains the parenthesis
Download a file if it exists
Saves an audio file
Decompress the file
Return a list of bad speaker names
Parse the text annotation
Decompress the tarball
Processes a book
Use librosa to load audio data
Get training data
Combine training and development datasets
Parse the xml file
Extracts the corpus for each sentence
Parse zip file
Manage json from a link

Get all kandi verified functions for this library.

DeepSpeech-Italian-Model Key Features

No Key Features are available at this moment for DeepSpeech-Italian-Model.

DeepSpeech-Italian-Model Examples and Code Snippets

oppure:

Python

Lines of Code : 21

License : Strong Copyleft (GPL-3.0)

Copy


   # Attiva un virtualenv
   virtualenv -p python3 $HOME/tmp/deepspeech-venv/
   source $HOME/tmp/deepspeech-venv/bin/activate

   # Installa DeepSpeech
   pip3 install deepspeech==0.9.3

   # Scarica e scompatta i file per il modello italiano (veri

Community Discussions

No Community Discussions are available at this moment for DeepSpeech-Italian-Model.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install DeepSpeech-Italian-Model

You can download it from GitHub.
You can use DeepSpeech-Italian-Model like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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