Poor recognition due to background noise using OpenEars on iOS

Question

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?

Answer 1

如果背景噪声或多或少是均匀的（即具有规则的模式），则可以尝试修改声学模型 ，否则这是一个开放性问题，有时称为鸡尾酒会效果 ， 可以使用DNN 来部分解决 。

Answer 2

Try this setting, works well for me.

try? OEPocketsphinxController.sharedInstance().setActive(true)
OEPocketsphinxController.sharedInstance().secondsOfSilenceToDetect = 2
OEPocketsphinxController.sharedInstance().setSecondsOfSilence()
OEPocketsphinxController.sharedInstance().vadThreshold = 3.5
OEPocketsphinxController.sharedInstance().removingNoise = true

Or You can try iSphinx library.