Speech Recognition, SR is a technique to translate audible words and phrases in spoken languages to machine-readable format. Speech Recognition depends on the accuracy of the software for reading voices and the capacity of the database to handle multiple languages and multiple voices.
Trained speech recognition systems decode a user specific speech, for further use, providing better accuracy. Speaker independent systems do not remain confined to one user and handle multiple voices.
Speech to Text or STT is used interchangeably with Speech Recognition Systems, but is in fact just one of the applications of SR. SR and STT help the users to control the device and direct it through speech, unfolding a completely different kind of User Experience in the very elegant iOS 7 design. The different apps enable voice dialing, call routing, device control, dictation, data entry, audible outputs from text with Text to Speech aids and user authentication to mention a few.
Speech recognition apps extend support to differently able people enhancing the Accessibility features of the iOS genre.
Virtual assistants like SIRI need no introduction to iOS users.
Speech Recognition Benefits and Applications
Libraries for Speech Recognition in iOS
There are several commercial libraries as well as Open Source libraries available for implementation of SR in iOS based devices, which can be used by iPhone and iPad application developers.
An Open Source library providing support for both desktop apps as well as mobile apps. This library supports cross-platform development for Linux, Windows, Mac OS X, iOS and python language binding.
A free library and wrapper for already available libraries like Pocket Sphinx as an aid for the iOS developers for creation of voice recognition solutions providing crisp Objective-C API.
A free library for offline Speech Recognition and Text To Speech applications. OpenEars performs speech recognition and language model generation in English and in Spanish.
A TTS plugin for OpenEars, enabling tasks in both English and Spanish. It continuously listens for speech in the background and activates automatically. The multiple voice support allows up to 9 users including male and female voices with a good range of speed and quality level. Switching between them on the fly is quite easily achieved. NeatSpeech has seamless integration with Bluetooth, other communication protocols and a variety of audio & speech devices. The robustness of this plugin increases as interaction is through Object Oriented-C methods. The use of memory instead of disk improves the speed. NeatSpeech blends in smoothly into the Cocoa Layer of the iOS.
OpenEars provides a few paid plugins support for integrating new speech features into apps with ease for live speech recognition in real time. The engaging responsive behavior enables it to be used as a gaming input , enriching the user experience.
A vocabulary rejection plugin for words and noises which are not a part of the vocabulary of the language chosen for the device. Rejecto is ready to use with OpenEars and adds value to the app.
A plugin to add the capability of recording audio files from speeches making them available directly for later use.
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