deepSpeech2 | End-to-end speech recognition using TensorFlow | Speech library
kandi X-RAY | deepSpeech2 Summary
kandi X-RAY | deepSpeech2 Summary
deepSpeech2 is a Python library typically used in Artificial Intelligence, Speech, Tensorflow applications. deepSpeech2 has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However deepSpeech2 build file is not available. You can download it from GitHub.
End-to-end speech recognition using TensorFlow. This repository contains TensorFlow code for an end-to-end speech recognition engine by implementing Baidu's DeepSpeech2 model on IA architectures. This work was based on the code developed by Ford[and many changes have been conducted to fin our solution. This software is released under a BSD license. The license to this software does not apply to TensorFlow, which is available under the Apache 2.0 license, or the third party pre-requisites listed below, which are available under their own respective licenses.
End-to-end speech recognition using TensorFlow. This repository contains TensorFlow code for an end-to-end speech recognition engine by implementing Baidu's DeepSpeech2 model on IA architectures. This work was based on the code developed by Ford[and many changes have been conducted to fin our solution. This software is released under a BSD license. The license to this software does not apply to TensorFlow, which is available under the Apache 2.0 license, or the third party pre-requisites listed below, which are available under their own respective licenses.
Support
Quality
Security
License
Reuse
Support
deepSpeech2 has a low active ecosystem.
It has 43 star(s) with 51 fork(s). There are 7 watchers for this library.
It had no major release in the last 6 months.
deepSpeech2 has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of deepSpeech2 is current.
Quality
deepSpeech2 has 0 bugs and 0 code smells.
Security
deepSpeech2 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
deepSpeech2 code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
deepSpeech2 is licensed under the BSD-3-Clause License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
deepSpeech2 releases are not available. You will need to build from source code and install.
deepSpeech2 has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions, examples and code snippets are available.
It has 1488 lines of code, 90 functions and 12 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed deepSpeech2 and discovered the below as its top functions. This is intended to give you an instant insight into deepSpeech2 implemented functionality, and help decide if they suit your requirements.
- Batch normalization layer
- Create a tensorflow variable on the CPU
- Load input files
- Generate a batch of features and labels
- Creates a variable with weight decay
- Batch normalization
Get all kandi verified functions for this library.
deepSpeech2 Key Features
No Key Features are available at this moment for deepSpeech2.
deepSpeech2 Examples and Code Snippets
No Code Snippets are available at this moment for deepSpeech2.
Community Discussions
Trending Discussions on deepSpeech2
QUESTION
How do I import something from a nested child directory with Python?
Asked 2020-Apr-14 at 22:48
In my main file (root level), I have:
...ANSWER
Answered 2020-Apr-14 at 22:48So they way directories are recognized as modules in python is by the presence of an __init__.py file within those directories. These __init__.py files don't need to have code. So change your directory structure to look like this
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install deepSpeech2
You can download it from GitHub.
You can use deepSpeech2 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.
You can use deepSpeech2 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 .
Find more information at:
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
