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.

1. Speech Recognition in iOS Devices
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
Speech Recognition Benefits and Applications

2. 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.
• PocketSphinx
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.
• VocalKit
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.
• OpenEars
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.
NetSpeech
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.
• Rejecto
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.

3. • SaveThatWave
A plugin to add the capability of recording audio files from speeches making them available
directly for later use.
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