Java Speech API can be utilized to interface with various speech-related libraries and engines for recognizing, converting and synthesizing speech into text in various applications.
With Java Speech API you can access the underlying speech subsystem and interface the native speech engine for both synthesis and recognition.
The API uses the Java speech infrastructure and is only available for the J2EE and J2SE platforms. This means that, the speech engine built into the Java Speech API needs to be present.
In addition to the Java Speech API it contains further separate packages for the Java Speech API, the Java Speech Recognition and the Java Speech Synthesis. The individual package can, therefore, be downloaded separately if required.
Most of the classes and interfaces are only accessible and usable if the JSpeech library is present. If no JSpeech library is installed, the corresponding classes can be directly accessed as a Java class.

Java Speech API Package:
The Java Speech API can be downloaded by selecting the package javax.speech. It contains the following packages:

The Java Speech API package is divided into the following sub-packages:

Speech Recognition
The Java Speech Recognition package contains the following sub-packages:

BeamSpotting
BeamSpotting is a feature which is used to detect beams inside of a speech signal. The data is provided by the Speech Recognition framework.
The following interfaces and classes are available:

BeamSpotter
BeamPoint
BeamContext

Speech RecognitionEngine
The Speech RecognitionEngine class is responsible for the actual recognition process.
The following interfaces and classes are available:

SpeechRecognitionEngine
SpeechRecognitionException
SpeechRecognitionListener

Speech RecognitionResult
The Speech RecognitionResult class allows to access the information which was recognized during the recognition process.
The following interfaces and classes are available:

SpeechRecognitionResult
Java Speech API for Speech Recognition:
The Java Speech API for Speech Recognition provides a basis for speech recognition technology. It contains different Java classes to extend the Speech Recognition Framework.
The Java Speech API for Speech Recognition can be used to extract the pronunciation of words from speech and search for an exact spelling of a given word. The classification of words and phrases is also supported.
The main classes are:

Class SpeechRecognitionEngine:
The Java Speech API for Speech Recognition provides different

Sphinx4 is written in C++ and C with the Boost preprocessor library for developers and programmers to help them create applications for speech processing.

Sphinx4

Overview:

Sphinx4 is a high performance general purpose speech application programming interface (API) for speech processing and recognition based on a mixture of state of the art, heuristic and statistical algorithms.

Sphinx4 is widely used in speech applications and is the de-facto standard for high performance speech recognition

Sphinx4 is designed to build and deploy speech-enabled applications easily

Sphinx4 supports both server based and client based applications

Sphinx4 has good audio quality and supports a variety of audio formats

Sphinx4 handles single and multiple channels audio

Sphinx4 has a variety of audio features like wideband speech recognition, long term memory and noise reduction

Sphinx4 has an easy to use interface

Sphinx4 supports desktop, server and embedded use

Sphinx4 is efficient, scalable and fast

Sphinx4 performs well on low end to mid range systems

Sphinx4 is multi-threaded

Sphinx4 supports HTTP server based recognition, it can also run as a client based application

Sphinx4 can be used standalone or incorporated in third party applications or projects

Sphinx4 is an open source software

Sphinx4 is an intelligent speech recognition system with many features including:

Sphinx4 was originally created for speech recognition work. It supports both single channel and multichannel speech, and there are two ways to use Sphinx4. You can either use it with the Sphinx4 client libraries, or you can use it with the embedded server.

Sphinx4 has been designed with extensibility in mind. C++ is the preferred development language, but it has been designed with C APIs for use in scripting languages as well. C++ developers can use C++ features such as the STL, exceptions and reflection to write scripts for Sphinx4.

Sphinx4 is written in C++ and C with the Boost preprocessor library for developers and programmers to help them create applications for speech processing.

Sphinx4 supports multi-threaded processing which improves the overall performance of the system.

The audio processing features in Sphinx4 are different from those of the
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The Java Speech API is used to provide developers with an easy-to-use API for textual speech synthesis and recognition, with a larger focus on speech synthesis. The library aims to provide a clean and object-oriented implementation of the JSAPI 2 (JSAPI 2.0 Standard) API. As opposed to many of the other speech APIs it doesn’t require the use of any third party C/C++ libraries.
The Java Speech API makes available the fundamental components for the speech synthesis and recognition from a Java platform. It can be used to easily implement textual speech synthesis and recognition from text input. It provides the speech synthesis and recognition as a part of the implementation.
In the Speech Synthesis part, the Java Speech API library provides implementations of text-to-speech (TTS) in Java. Developers can implement a TTS component of their own application or use JavaTTS, which is a public implementation of the TTS algorithms. Many programmers implement and use JavaTTS. There are many ways to use a TTS component in your application:
* End user listener – the JavaTTS API or any other TTS component requires that you provide a listener to the synthesizer. This listener will be notified when the synthesizer is ready for speech. When this listener object is given to the synthesizer, the synthesizer will notify it when it is ready for speech.
* A “listener” object is passed to the synthesizer when a speech request is made.
* An event occurs when the synthesizer is ready for speech. The listener object is notified of this event.
* A listener object can be passed to the TTS component at any time and removed at any time.
* The listener is notified when the synthesizer is ready for speech.
* The listener is notified when the synthesizer has finished speaking.
* The listener object is notified when the TTS component is ready to start speaking.
The Java Speech API also provides implementations of text-to-speech (TTS) in Java. Developers can implement a TTS component of their own application or use JavaTTS, which is a public implementation of the TTS algorithms. JavaTTS uses a text-to-speech (TTS) engine, since it is a TTS engine with source code available and that is used by JavaTTS. A TTS engine is independent from a speech synthesis engine, e.g. SAPI (Windows), istts (Linux), or Jack. Jack is the default

• Speech Synthesis
…

Java Speech API 2.0.0-alpha1 is a new implementation of the Java Speech API. It implements the newest Java Speech API 2.0 specification. It is a binary-only release. The following release is the binary distribution of the API. The source distribution of the API is also available for reference.

Today I am going to show you how to make your own speech recognition engine in Java. No complex topics or advanced knowledge of the Java programming language is required.
How to Build Your Own Speech Recognition Engine in Java

First of all, make sure you are on the right track. The Apache Open Source Software Foundation documents a Java Speech API specification available in its Sourceforge page. The Open Source Software Foundation also documents a Java Speech API 2.0.0-alpha1 release which implements the Java Speech API 2.0.0 specification.

When you are on the right track, you can begin your coding adventure. The Apache Open Source Software Foundation specifies a new class called JavaSpeechRecognizer. This class implements a Java-based Speech Recognition interface.

The Speech Recognition interface is represented as a simple interface with three methods:
public class JavaSpeechRecognizer {
/**
*
* This method returns a list of SpeechRecognitionEngine instantiation instances
* representing all available Speech RecognitionEngines.
*
* @return a list of SpeechRecognitionEngine instances.
* @throws UnsupportedOperationException if this instance is not yet supported by the implementation.
* @see SpeechRecognitionEvent
**/
@…

How to combine the two APIs?
You can use this JavaSpeechRecognizer to read the speech audio input without end-of-speech detections. There are no end-of-speech detections in this case.
You can use this JavaSpeechRecognizer to read the speech audio input without end-of-speech detections. There are no end-of-speech detections in this case.
You can use this JavaSpeechRecognizer to read the speech audio input without end-of-speech detections. There are no end-of-speech detections in this case.
This class will call a callback listener when it finish recognizing the input and update UI. If the user say “Stop”, then this class will stop recognition and callback.

The implementation of Speech Recognition

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Minimum:
OS: 64-bit Windows 7/Vista or 64-bit Windows 8/8.1/10 (32-bit will not run properly on Windows 7)
Processor: Intel Core i3, 2.8 GHz or AMD Phenom II x6
Memory: 4 GB RAM
Graphics: 128 MB DirectX 11.0 graphics card with at least 1GB RAM
Hard Disk: 5GB available space
Additional Notes:
Graphics requirements:
OS:

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