TLSphinx | Swift wrapper around Pocketsphinx | Speech library

by tryolabs C++ Version: 1.0.2 License: MIT

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

kandi X-RAY | TLSphinx Summary

TLSphinx is a C++ library typically used in Artificial Intelligence, Speech applications. TLSphinx has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

TLSphinx is a Swift wrapper around Pocketsphinx, a portable library based on CMU Sphinx, that allow an application to perform speech recognition without the audio ever leaving the device. This repository has two main parts. The first is a syntetized version of the pocketsphinx and sphinx base repositories with a module map to access the library as a Clang module. This module is accessed under the name Shpinx and has two submodules: Pocket and Base in reference to pocketsphinx and sphinx base. The second part is TLSphinx, a Swift framework that uses the Sphinx Clang module and exposes a Swift-like API that talks to pocketsphinx.

Support

Quality

Security

License

Reuse

Support

TLSphinx has a low active ecosystem.

It has 153 star(s) with 55 fork(s). There are 19 watchers for this library.

It had no major release in the last 12 months.

There are 18 open issues and 33 have been closed. On average issues are closed in 20 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of TLSphinx is 1.0.2

Quality

TLSphinx has 0 bugs and 0 code smells.

Security

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

TLSphinx code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

TLSphinx 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

TLSphinx releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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TLSphinx Key Features

No Key Features are available at this moment for TLSphinx.

TLSphinx Examples and Code Snippets

No Code Snippets are available at this moment for TLSphinx.

Community Discussions

Trending Discussions on TLSphinx

How to run wake word detection with pocket sphinx on iOS?

QUESTION

How to run wake word detection with pocket sphinx on iOS?

Asked 2021-Jul-13 at 10:39

I try to run the wake word detection from pocket sphinx on iOS. As base I used TLSphinx and the speech to text works (not good STT, but it recognizes words).

I extended the decoder.swift by a new function:

...

ANSWER

Answered 2021-Jul-13 at 10:39

I had to run self.get_hyp() before self.end_utt().

I'm not sure why, but it is different from speech to text calling order.

Edit

Another tip: For better wake word detection quality increase the buffer size for the microphone input. E.g.:

Source https://stackoverflow.com/questions/68257260

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

Vulnerabilities

No vulnerabilities reported

Install TLSphinx

The easiest way to integrate TLSphinx is using Carthage or a similar method to get the framework bundle. This lets you integrate the framework and the Sphinx module without magic.
add $(SRCROOT)/Carthage/Checkouts/TLSphinx/Sphinx/include to Header Search Paths recursive
add $(SRCROOT)/Carthage/Checkouts/TLSphinx/Sphinx/lib to Library Search Paths recursive
in Swift Compiler - Search Paths add $(SRCROOT)/Carthage/Checkouts/TLSphinx/Sphinx/include to Import Paths

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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