Wav2Letter | Speech Recognition model based off of FAIR research paper | Speech library

by LearnedVector Python Version: Current License: No License

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kandi X-RAY | Wav2Letter Summary

Wav2Letter is a Python library typically used in Artificial Intelligence, Speech, Deep Learning, Pytorch applications. Wav2Letter has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

A Simple, straight forward, easy to read implementation of Wav2Letter, a speech recognition model from Facebooks AI Research (FAIR) paper. You can see most of the architecture in the Wav2Letter directory. The next iteration of Wav2Letter can be found in this paper. This paper uses Gated Convnets instead of normal Convnets. The Google Speech Command Example.ipynb notebook contains an example of this implementation.

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Wav2Letter has a low active ecosystem.

It has 79 star(s) with 24 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 2 have been closed. On average issues are closed in 51 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Wav2Letter is current.

Quality

Wav2Letter has 0 bugs and 0 code smells.

Security

Wav2Letter has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Wav2Letter code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Wav2Letter 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

Wav2Letter releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Wav2Letter saves you 96 person hours of effort in developing the same functionality from scratch.

It has 244 lines of code, 16 functions and 6 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed Wav2Letter and discovered the below as its top functions. This is intended to give you an instant insight into Wav2Letter implemented functionality, and help decide if they suit your requirements.

Train a Google Music dataset
Compute the CTC optimizer
Compute log - softmax probability
Greedy decomposition
Load input vectors
Evaluate the log - probability function
Get audio data
Convert a label to a sequence of integers
Normalize values
Saves vectors to file
Save the encoder

Get all kandi verified functions for this library.

Wav2Letter Key Features

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Wav2Letter Examples and Code Snippets

No Code Snippets are available at this moment for Wav2Letter.

Community Discussions

Trending Discussions on Wav2Letter

Using C++ Libraries on Linux

QUESTION

Using C++ Libraries on Linux

Asked 2021-Dec-22 at 04:31

I'm trying to follow along here to use a speech recognition model. The model is in C++, and almost all of my experience is in Python.

I installed a virtual machine running Ubuntu, and still the installation procedure was failing for me. I decided to simply try to compile the model so that I could call it in a Python script, as seen at the bottom of the linked page.

I'm trying to use g++ to compile the .cpp model, but I keep getting an error saying that a library that I have installed is not found:

...

ANSWER

Answered 2021-Dec-22 at 04:31

You've installed only the runtime libraries. You also have to install the development version (e.g. header files), most likely called something like cereal-devel or so.

Alan Birtles provided a link to the development packages in the comments section above.

https://packages.ubuntu.com/focal/libcereal-dev

Source https://stackoverflow.com/questions/70440025

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