Poor recognition due to background noise using OpenEars on iOS

[Claus79]

I’m using OpenEars in my app for performing the recognition of some words and sentences. I have followed the basic tutorial for the offline speech recognition and executed a porting in Swift. This is the setup procedure

self.openEarsEventsObserver = OEEventsObserver()
self.openEarsEventsObserver.delegate = self
let lmGenerator: OELanguageModelGenerator = OELanguageModelGenerator()
addWords()
let name = "LanguageModelFileStarSaver"
lmGenerator.generateLanguageModelFromArray(words, withFilesNamed: name, forAcousticModelAtPath: OEAcousticModel.pathToModel("AcousticModelEnglish"))
lmPath = lmGenerator.pathToSuccessfullyGeneratedLanguageModelWithRequestedName(name)
dicPath = lmGenerator.pathToSuccessfullyGeneratedDictionaryWithRequestedName(name)

The recognition works well in a quiet room for both single words and whole sentences ( I would say it has a 90% hit rate). However, when I tried in quiet pub with a light background noise the app had serious difficulties in recognising even just word. Is there any way to improve the speech recognition when there is background noise?

[Halle Winkler]

Welcome,

Have you checked into raising the vadThreshold?

[Author]

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