How to detect phrase? - ios

Question

i am implementing speech to text by OpenEars feature in my app.
i am also using Rejecto plugin to make the recognition better and RapidEars for faster results. the goal is to detect phrase and single words, for example :
lmGenerator = [[LanguageModelGenerator alloc] init];
NSArray *words = [NSArray arrayWithObjects:#"REBETANDEAL",#"NEWBET",#"REEEBET", nil];
NSString *name = #"NameIWantForMyLanguageModelFiles";
NSError *err = [lmGenerator generateRejectingLanguageModelFromArray:words
withFilesNamed:name
withOptionalExclusions:nil
usingVowelsOnly:FALSE
withWeight:nil
forAcousticModelAtPath:[AcousticModel pathToModel:#"AcousticModelEnglish"]]; // Change "AcousticModelEnglish" to "AcousticModelSpanish" to create a Spanish Rejecto model.
// Change "AcousticModelEnglish" to "AcousticModelSpanish" to create a Spanish language model instead of an English one.
NSDictionary *languageGeneratorResults = nil;
NSString *lmPath = nil;
NSString *dicPath = nil;
if([err code] == noErr) {
languageGeneratorResults = [err userInfo];
lmPath = [languageGeneratorResults objectForKey:#"LMPath"];
dicPath = [languageGeneratorResults objectForKey:#"DictionaryPath"];
} else {
NSLog(#"Error: %#",[err localizedDescription]);
}
// Change "AcousticModelEnglish" to "AcousticModelSpanish" to perform Spanish recognition instead of English.
[self.pocketsphinxController setRapidEarsToVerbose:FALSE]; // This defaults to FALSE but will give a lot of debug readout if set TRUE
[self.pocketsphinxController setRapidEarsAccuracy:10]; // This defaults to 20, maximum accuracy, but can be set as low as 1 to save CPU
[self.pocketsphinxController setFinalizeHypothesis:TRUE]; // This defaults to TRUE and will return a final hypothesis, but can be turned off to save a little CPU and will then return no final hypothesis; only partial "live" hypotheses.
[self.pocketsphinxController setFasterPartials:TRUE]; // This will give faster rapid recognition with less accuracy. This is what you want in most cases since more accuracy for partial hypotheses will have a delay.
[self.pocketsphinxController setFasterFinals:FALSE]; // This will give an accurate final recognition. You can have earlier final recognitions with less accuracy as well by setting this to TRUE.
[self.pocketsphinxController startRealtimeListeningWithLanguageModelAtPath:lmPath dictionaryAtPath:dicPath acousticModelAtPath:[AcousticModel pathToModel:#"AcousticModelEnglish"]]; // Starts the rapid recognition loop. Change "AcousticModelEnglish" to "AcousticModelSpanish" in order to perform Spanish language recognition.
[self.openEarsEventsObserver setDelegate:self];
most of the time the result is fine, but sometime it makes a mix from separate strings objects. for example i pass the words array : #[#"ME AND YOU",#"YOU",#"ME"] and the output can be : "YOU ME ME ME AND". i dont want it to recognize only part of a phrase.
any ideas please?

Answer 1

On the pocketsphinxDidReceiveHypothesis:(NSString *)hypothesis recognitionScore:(NSString *)recognitionScore utteranceID:(NSString *)utteranceID you can check if the hypothesis is in your words array before showing it.
- (void) pocketsphinxDidReceiveHypothesis:(NSString *)hypothesis recognitionScore:(NSString *)recognitionScore utteranceID:(NSString *)utteranceID {
if ([words containsObject:hypothesis]) {
//show hypothesis
}
}

Answer 2

OpenEars developer here. To detect fixed phrases using OpenEars, use the new dynamic grammar generator method of LanguageModelGenerator to create a rules-based grammar dynamically rather than a statistical language model: http://www.politepix.com/2014/04/10/openears-1-7-introducing-dynamic-grammar-generation/