gst-kaldi-nnet2-online | GStreamer plugin around Kaldi 's online neural network | Speech library

by alumae C++ Version: Current License: Apache-2.0

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

kandi X-RAY | gst-kaldi-nnet2-online Summary

gst-kaldi-nnet2-online is a C++ library typically used in Artificial Intelligence, Speech applications. gst-kaldi-nnet2-online has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

GStreamer plugin around Kaldi's online neural network decoder

Support

Quality

Security

License

Reuse

Support

gst-kaldi-nnet2-online has a low active ecosystem.

It has 184 star(s) with 100 fork(s). There are 26 watchers for this library.

It had no major release in the last 6 months.

There are 24 open issues and 49 have been closed. On average issues are closed in 78 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of gst-kaldi-nnet2-online is current.

Quality

gst-kaldi-nnet2-online has 0 bugs and 0 code smells.

Security

gst-kaldi-nnet2-online has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

gst-kaldi-nnet2-online code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

gst-kaldi-nnet2-online is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

gst-kaldi-nnet2-online releases are not available. You will need to build from source code and install.

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

It has 108 lines of code, 7 functions and 1 files.

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

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of gst-kaldi-nnet2-online

Get all kandi verified functions for this library.

gst-kaldi-nnet2-online Key Features

No Key Features are available at this moment for gst-kaldi-nnet2-online.

gst-kaldi-nnet2-online Examples and Code Snippets

No Code Snippets are available at this moment for gst-kaldi-nnet2-online.

Community Discussions

Trending Discussions on gst-kaldi-nnet2-online

Assert in Kaldi when used with GStreamer

QUESTION

Assert in Kaldi when used with GStreamer

Asked 2018-Jan-23 at 16:21

Using GStreamer plugin from Alumae and the following pipeline :

appsrc source='appsrc' ! wavparse ! audioconvert ! audioresample ! queue ! kaldinnet2onlinedecoder ! filesink location=/tmp/test

I always get the following assert that I don't understand KALDI_ASSERT(current_log_post_.NumRows() == info_.frames_per_chunk / info_.opts.frame_subsampling_factor && current_log_post_.NumCols() == info_.output_dim);

What is this assert error about ? How to fix it ?

FYI, the data pushed into the pipeline come from a streamed wav file and replacing kaldinnetonlinedecoder with wavenc correctly generate a Wav file instead of a text file at the end.

EDIT Here are the parameters used:

...

ANSWER

Answered 2018-Jan-23 at 16:21

I finally got it working, even with frame-subsampling-factor parameter.

The problem resides in the order of the parameters. fst and model parameters have to be the last ones.

Thus the following textual chain works :

Source https://stackoverflow.com/questions/47471250

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

Vulnerabilities

No vulnerabilities reported

Install gst-kaldi-nnet2-online

You can download it from GitHub.

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 .

Find more information at: