STT-examples | 🐸STT integration examples

by coqui-ai Python Version: Current License: MPL-2.0

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

kandi X-RAY | STT-examples Summary

STT-examples is a Python library. STT-examples has no bugs, it has no vulnerabilities, it has a Weak Copyleft License and it has low support. However STT-examples build file is not available. You can download it from GitHub.

🐸STT integration examples

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Quality

Security

License

Reuse

Support

STT-examples has a low active ecosystem.

It has 102 star(s) with 32 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 9 open issues and 9 have been closed. On average issues are closed in 53 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of STT-examples is current.

Quality

STT-examples has 0 bugs and 0 code smells.

Security

STT-examples has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

STT-examples code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

STT-examples is licensed under the MPL-2.0 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

STT-examples releases are not available. You will need to build from source code and install.

STT-examples has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

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

Collect audio data from the VAD
Resample the audio data
Generator that yields data from the stream
Performs VAD on a WAV file
Convert audio to STT
Generate a generator function which parses a WAV file
Run the model
Check the length of the audio file
Get config value
Handle audio data
Test a file
Performs the audio streaming
Log a message
Loads a model
Generate a generator for the VAD segment generator
Write a wav file
Resolve tflite models
Load the model results from a given directory
Load a model from a list of models

Get all kandi verified functions for this library.

STT-examples Key Features

No Key Features are available at this moment for STT-examples.

STT-examples Examples and Code Snippets

No Code Snippets are available at this moment for STT-examples.

Community Discussions

Trending Discussions on STT-examples

DeepSpeechDemo App works with Gradle cli but crashes when built with Android Studio

QUESTION

DeepSpeechDemo App works with Gradle cli but crashes when built with Android Studio

Asked 2020-Aug-21 at 23:50

The android-mic-streaming demo works off-the-shelf using ./gradlew installDebug, but when the play button in Android Studio is used to compile and install the exact same project it crashes with the following after tapping record:

...

ANSWER

Answered 2020-Aug-21 at 23:50

Hours of random trial and error later: Changing this option from "Default APK" to "APK from app bundle" in Android Studio made the demo start working

However, doing the same on my example app for the React Native module (which has a dependency android project which finally depends on the actual libdeepspeech) didn't work. It started working when using x86_64, so there must be no libdeepspeech x86 (32 bit) binary.

Source https://stackoverflow.com/questions/63493157

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

Vulnerabilities

No vulnerabilities reported

Install STT-examples

You can download it from GitHub.
You can use STT-examples 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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