OpenEars Speech and Voice Recognition App

OpenEars

by Politepix

Free speech recognition and speech synthesis for the iPhone
Helps with: Speech and Voice Recognition
Similar to: eSpeak App CMU Flite App VeriSpeak App Dragon Speech SDK App More...
Source Type: Closed
License Types:
Supported OS:
Languages: C CS

What is it all about?

OpenEars™ makes it simple for you to add offline speech recognition and synthesized speech/TTS to your iPhone app quickly and easily. It lets everyone get the great results of using advanced speech UI concepts like statistical language models and finite state grammars in their app, but with no more effort than creating an NSArray or NSDictionary.

Key Features

• Perform speech recognition in English and in Spanish • Perform text-to-speech in English and with the NeatSpeech plugin, can also perform text-to-speech in Spanish • Listen continuously for speech on a background thread, while suspending or resuming speech processing on demand, all while using less than 2% CPU on average on current devices (decoding speech, text-to-speech, updating the UI and other intermittent functions use more CPU), • Use any of 9 voices for speech, including male and female voices with a range of speed/quality level, and switch between them on the fly, • Change the pitch, speed and variance of any text-to-speech voice, • Know whether headphones are plugged in and continue voice recognition during text-to-speech only when they are plugged in, • Support bluetooth audio devices (experimental), • Dispatch information to any part of your app about the results of speech recognition and speech, or changes in the state of the audio session (such as an incoming phone call or headphones being plugged in), • Deliver level metering for both speech input and speech output so you can design visual feedback for both states. • Support JSGF grammars with an easy-to-use human-readable grammar specification language, only from Politepix, • Dynamically generate probability-based language models and rule-based grammars using simple object-oriented language • Switch between ARPA language models or JSGF grammars on the fly, • Get n-best lists with scoring, • Test existing recordings, • Be easily interacted with via standard and simple Objective-C methods, • Control all audio functions with text-to-speech and speech recognition in memory instead of writing audio files to disk and then reading them, • Protect user privacy by performing all recognition offline and not storing speech audio, • Drive speech recognition with a low-latency Audio Unit driver for highest responsiveness, • Be installed in a Cocoa-standard fashion using an easy-peasy already-compiled framework. • In addition to its various new features and faster recognition/text-to-speech responsiveness, OpenEars™ now has improved recognition accuracy. • OpenEars™ is free to use in an iPhone or iPad app.


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Description

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