Taris | based online speech recognition system with TensorFlow | Machine Learning library

by georgesterpu Python Version: Current License: MPL-2.0

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

kandi X-RAY | Taris Summary

Taris is a Python library typically used in Telecommunications, Media, Media, Entertainment, Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. Taris has no bugs, it has no vulnerabilities, it has a Weak Copyleft License and it has low support. However Taris build file is not available. You can download it from GitHub.

To decode online, Taris learns to count the number of words in a spoken sentence. As we show in [1], this task facilitates the partitioning of the speech input into segments that can be decoded eagerly. However, a longer context is needed in order to match the accuracy of an offline system. The figure below illustrates an example where the decoder uses two look-back and look-ahead segments to condition all the characters within a given word in the output modality. Once all the characters in decision are processed and the system predicts a blank space token, the attention distribution advances by one more segment, and is used in computing audio context vectors for every character in the next word away.

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Quality

Security

License

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Support

Taris has a low active ecosystem.

It has 12 star(s) with 4 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 2 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Taris is current.

Quality

Taris has no bugs reported.

Security

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

License

Taris is licensed under the MPL-2.0 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

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

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

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

Top functions reviewed by kandi - BETA

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

Call the AVTransformer
Runs the decoder
Gets the bias of the decoder
Calculates the num_words loss
Call transformer
Write audio records
Add noise to the image
Helper function to cache noise data
Return a random segment from data
Train an AVSR model
Train the model
Continue search
Write BMP records
Create the training datasets
Train the optimizer
Grow search step
Calculate the output normalization layer
Perform online search step
Writes the labels records for the training
Write video records
Add noise to a signal
Gets the bias for x
Call the embedding function
Get list of files
Returns a tf TensorShape containing only the last dimension
Yield n - sized chunks from l

Get all kandi verified functions for this library.

Taris Key Features

No Key Features are available at this moment for Taris.

Taris Examples and Code Snippets

No Code Snippets are available at this moment for Taris.

Community Discussions

Trending Discussions on Taris

Javascript login page array for username and password dont work

QUESTION

Javascript login page array for username and password dont work

Asked 2020-May-26 at 20:21

Hello I am trying to make a login page with javascript and stuck at this situation. I thought to have a array where the usernames and password. Here is my code where i could not get it how to make that it proves the username with the corresponding password

Taris

...

ANSWER

Answered 2020-May-13 at 07:01

function loginFunction () {
        var username = document.getElementById("myText").value;
        var password = document.getElementById("myText1").value;

        for(i = 0; i < userArray.length; i++){
            if(username == userArray[i].username && password == userArray[i].password){
                alert("Hello");
            }

        }    
}

Source https://stackoverflow.com/questions/61767980

QUESTION

Asked 2020-May-11 at 08:10

I am trying to create a working login interface with javascript. I've put down my code but it won't work and it does not show any type of error messages. Thanks Taris

...

ANSWER

Answered 2020-May-11 at 08:07

You need to access the .value of the elements x and y - you're dealing with the element, not the value:

Source https://stackoverflow.com/questions/61724962

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

Vulnerabilities

No vulnerabilities reported

Install Taris

You can download it from GitHub.
You can use Taris 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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