PyOgg | Simple OGG Vorbis , Opus and FLAC bindings for Python | Audio Utils library

by TeamPyOgg Python Version: 0.6.14a1 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | PyOgg Summary

PyOgg is a Python library typically used in Audio, Audio Utils applications. PyOgg has no bugs, it has no vulnerabilities, it has build file available and it has low support. However PyOgg has a Non-SPDX License. You can download it from GitHub.

Simple OGG Vorbis, Opus and FLAC bindings for Python

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Quality

Security

License

Reuse

Support

PyOgg has a low active ecosystem.

It has 28 star(s) with 10 fork(s). There are 4 watchers for this library.

It had no major release in the last 12 months.

There are 13 open issues and 34 have been closed. On average issues are closed in 33 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of PyOgg is 0.6.14a1

Quality

PyOgg has 0 bugs and 0 code smells.

Security

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

PyOgg code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

PyOgg 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.

Reuse

PyOgg releases are available to install and integrate.

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

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

PyOgg saves you 1587 person hours of effort in developing the same functionality from scratch.

It has 3529 lines of code, 517 functions and 8 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Encodes PCM bytes into memory .
Initialize the object .
Encodes the given PCM data into memory .
Decode an encoded sequence of bytes .
Writes the identity header .
Convert the buffer into a NumPy array .
Read the next frame from the stream .
Return the data buffer as a numpy array .
Load a Windows library .
Write a callback to the buffer .

Get all kandi verified functions for this library.

PyOgg Key Features

No Key Features are available at this moment for PyOgg.

PyOgg Examples and Code Snippets

No Code Snippets are available at this moment for PyOgg.

Community Discussions

Trending Discussions on PyOgg

Train DeepSpeech on Common Voice dataset gives error on gpu

How to decode .ogg opus to int16 NumPy array with librosa?

QUESTION

Train DeepSpeech on Common Voice dataset gives error on gpu

Asked 2021-Apr-27 at 08:15

I'm trying to train DeepSpeech model on Common Voice dataset as it's stated in documentation. But it gives the following error:

...

ANSWER

Answered 2021-Apr-24 at 00:53

I've seen a similar error posted on the DeepSpeech Discourse and the issue there was the CUDA installation.

What is the value of your $LD_LIBRARY_PATH environment variable?

You can find this by doing:

Source https://stackoverflow.com/questions/67198198

QUESTION

How to decode .ogg opus to int16 NumPy array with librosa?

Asked 2020-Jun-25 at 10:51

What I'm trying to do

I'm trying to transcribe Telegram audio messages, using Mozillas speech-to-text engine deepspeech.

Using *.wav in 16bit 16khz works flawless.

I want to add *.ogg opus support, since Telegram uses this format for it's audio messages.

What I have tried so far

I have tried pyogg and soundfile so far, with no luck.

Soundfile could outright not read the opus format and pyogg is a pain to install without conda. I had really weird moments where it literally crashed python.

Right now, I'm trying librosa with mixed results.

...

ANSWER

Answered 2020-Jun-25 at 10:51

librosa returns an array floats in range -1.0 to 1.0. In int16 the maximum value is 32767. So you have to multiply to scale the signal, then convert to int16.

Source https://stackoverflow.com/questions/62536448

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

Vulnerabilities

No vulnerabilities reported

Install PyOgg

You can download it from GitHub.
You can use PyOgg 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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