ctc_tensorflow_example | CTC Tensorflow Example for ASR | Speech library

by igormq Python Version: Current License: MIT

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

kandi X-RAY | ctc_tensorflow_example Summary

ctc_tensorflow_example is a Python library typically used in Artificial Intelligence, Speech, Tensorflow applications. ctc_tensorflow_example has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However ctc_tensorflow_example build file is not available. You can download it from GitHub.

CTC + Tensorflow Example for ASR

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ctc_tensorflow_example has a low active ecosystem.

It has 311 star(s) with 189 fork(s). There are 18 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 21 have been closed. On average issues are closed in 66 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ctc_tensorflow_example is current.

Quality

ctc_tensorflow_example has 0 bugs and 4 code smells.

Security

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

ctc_tensorflow_example code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ctc_tensorflow_example 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

ctc_tensorflow_example releases are not available. You will need to build from source code and install.

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

ctc_tensorflow_example saves you 111 person hours of effort in developing the same functionality from scratch.

It has 281 lines of code, 5 functions and 3 files.

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

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ctc_tensorflow_example Key Features

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ctc_tensorflow_example Examples and Code Snippets

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Community Discussions

Trending Discussions on ctc_tensorflow_example

CTC Beam Search using Tensorflow Backend

QUESTION

CTC Beam Search using Tensorflow Backend

Asked 2020-Apr-20 at 10:26

The keras documentation and tensorflow provide a function ctc_decode which does the ctc beam search decoding for the output of the network. The documentation does not provide example usage for the decoder. https://github.com/igormq/ctc_tensorflow_example/blob/master/ctc_tensorflow_example.py provides an example usage, but I am not able to retrieve the text transcript decoded.

There are questions on stackoverflow for printing the output tensor, but I am not getting any output as the output of my tensor is of shape(?,?).

...

ANSWER

Answered 2017-Jun-27 at 22:59

If you are using Keras, try K.get_value(dec[0]).

Source https://stackoverflow.com/questions/44277966

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

Vulnerabilities

No vulnerabilities reported

Install ctc_tensorflow_example

You can download it from GitHub.
You can use ctc_tensorflow_example 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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