Attention-based-End-to-End-Speech-to-Text-Deep-Neural-Network | Implements attention based speech to text
kandi X-RAY | Attention-based-End-to-End-Speech-to-Text-Deep-Neural-Network Summary
kandi X-RAY | Attention-based-End-to-End-Speech-to-Text-Deep-Neural-Network Summary
Attention-based-End-to-End-Speech-to-Text-Deep-Neural-Network is a Python library. Attention-based-End-to-End-Speech-to-Text-Deep-Neural-Network has no bugs, it has no vulnerabilities and it has low support. However Attention-based-End-to-End-Speech-to-Text-Deep-Neural-Network build file is not available. You can download it from GitHub.
Implements attention based speech to text transcription using Recurrent Neural Networks (RNNs) / Convolutional Neural Networks (CNNs) and Dense Networks. End-to-end the system transcribes a given speech utterance to its corresponding transcript. This project implements the paper Listen, Attend and Spell with LAS Variant 1. The final performance achieved a perplexity of less than 12 by incorporting teacher-forcing and gumbel noise.
Implements attention based speech to text transcription using Recurrent Neural Networks (RNNs) / Convolutional Neural Networks (CNNs) and Dense Networks. End-to-end the system transcribes a given speech utterance to its corresponding transcript. This project implements the paper Listen, Attend and Spell with LAS Variant 1. The final performance achieved a perplexity of less than 12 by incorporting teacher-forcing and gumbel noise.
Support
Quality
Security
License
Reuse
Support
Attention-based-End-to-End-Speech-to-Text-Deep-Neural-Network has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
Attention-based-End-to-End-Speech-to-Text-Deep-Neural-Network has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Attention-based-End-to-End-Speech-to-Text-Deep-Neural-Network is current.
Quality
Attention-based-End-to-End-Speech-to-Text-Deep-Neural-Network has no bugs reported.
Security
Attention-based-End-to-End-Speech-to-Text-Deep-Neural-Network has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Attention-based-End-to-End-Speech-to-Text-Deep-Neural-Network does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
Attention-based-End-to-End-Speech-to-Text-Deep-Neural-Network releases are not available. You will need to build from source code and install.
Attention-based-End-to-End-Speech-to-Text-Deep-Neural-Network 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'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 Attention-based-End-to-End-Speech-to-Text-Deep-Neural-Network
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Attention-based-End-to-End-Speech-to-Text-Deep-Neural-Network
Attention-based-End-to-End-Speech-to-Text-Deep-Neural-Network Key Features
No Key Features are available at this moment for Attention-based-End-to-End-Speech-to-Text-Deep-Neural-Network.
Attention-based-End-to-End-Speech-to-Text-Deep-Neural-Network Examples and Code Snippets
No Code Snippets are available at this moment for Attention-based-End-to-End-Speech-to-Text-Deep-Neural-Network.
Community Discussions
No Community Discussions are available at this moment for Attention-based-End-to-End-Speech-to-Text-Deep-Neural-Network.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Attention-based-End-to-End-Speech-to-Text-Deep-Neural-Network
You can download it from GitHub.
You can use Attention-based-End-to-End-Speech-to-Text-Deep-Neural-Network 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 Attention-based-End-to-End-Speech-to-Text-Deep-Neural-Network 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
