AudioRecoder

by WuLiFei Java Version: Current License: No License

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

kandi X-RAY | AudioRecoder Summary

AudioRecoder is a Java library. AudioRecoder has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

AudioRecoder

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Quality

Security

License

Reuse

Support

AudioRecoder has a low active ecosystem.

It has 27 star(s) with 21 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 924 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of AudioRecoder is current.

Quality

AudioRecoder has no bugs reported.

Security

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

License

AudioRecoder 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

AudioRecoder 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.

Top functions reviewed by kandi - BETA

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

Initializes the dialog
Set the Translucent status
Set a listener for the audio status update
Sets the show alpha
On update
Set the progress
Set the level
Gets progress text
Handle touch event
Returns a value animator that will be used to show the window
Stop recording
Start recording
Show as drop down animation
Display as a drop down animation
Show as drop down animation
Set the contentView
Add key listener
Set the background drawable
Set whether or not the view is outside the view
Initialize basePopupWindow
Get the layout for the given position

Get all kandi verified functions for this library.

AudioRecoder Key Features

No Key Features are available at this moment for AudioRecoder.

AudioRecoder Examples and Code Snippets

No Code Snippets are available at this moment for AudioRecoder.

Community Discussions

Trending Discussions on AudioRecoder

how to perform continuous speech to text on webrtc communication audio stream in mobile app

QUESTION

how to perform continuous speech to text on webrtc communication audio stream in mobile app

Asked 2019-May-12 at 14:49

I am trying to add a continuous speech to text recognizer in a mobile application during a webrtc audio-only call.

I'm using react native on the mobile side, with the react-native-webrtc module and a custom web api for the signaling part. I've got the hand of the web api, so I am able to add the feature on it's side if it's the only solution, but I prefer to perform it on the client side to avoid consuming bandwith if there is no need.

First, I have worked and tested some ideas with my laptop browser. My first idea, was to use the SpeechRecognition interface from the webspeechapi : https://developer.mozilla.org/en-US/docs/Web/API/SpeechRecognition

I have merged the audio only webrtc demo with the audiovisualiser demonstration in one page but there, I did not find how to connect a mediaElementSourceNode (created via AudioContext.createMediaElementSource(remoteStream) at line 44 of streamvisualizer.js) to a web_speech_api SpeechRecognition class. In the mozilla documentation, the audio stream seems to came with the constructor of the class, wich may call the getUserMedia() api.

Second, during my researches I have found two open source speech to text engine : cmusphinx and mozilla's deep-speech. The first one have a js binding and seems great with the audioRecoder that I can feed with my own mediaElementSourceNode from the first try. However, how to embeed this in my react native application ?

There are also Android and iOS natives webrtc modules, which I may be able to connect with cmusphinx platform specific bindings (iOS, Android) but I don't know about native classes inter-operability. Can you help me with that ?

I haven't already created any "grammar" or define "hot-words" because I am not sure of technologies involved, but I can do it latter if I am able to connect a speech recognition engine to my audio stream.

...

ANSWER

Answered 2019-May-09 at 17:49

You need to stream the audio to the ASR server by either adding another webrtc party on the call or by some other protocol (TCP/Websocket/etc). On the server you perform recognition and send results back.

First, I have worked and tested some ideas with my laptop browser. My first idea, was to use the SpeechRecognition interface from the webspeechapi : https://developer.mozilla.org/en-US/docs/Web/API/SpeechRecognition

This is experimental and does not really work in Firefox. In Chrome it only takes microphone input directly, not dual stream from caller and callee.

The first one have a js binding and seems great with the audioRecoder that I can feed with my own mediaElementSourceNode from the first try.

You will not be able to run this as local recognition inside your react native app

Source https://stackoverflow.com/questions/56062033

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

Vulnerabilities

No vulnerabilities reported

Install AudioRecoder

You can download it from GitHub.
You can use AudioRecoder like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the AudioRecoder component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

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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