[oscarjiv91]

I tested it with 3 men and 3 women.

[oscarjiv91]

Yes, I’m using 2.x acoustic model. Not sure what you mean with “sample size”. I’m testing it with live speech. Also have this problem with children voices.

[oscarjiv91]

Yes, is related to different gender voices.

[oscarjiv91]

I’m trying to recognize just one name at a time (keyword-spotting)

btw, I’m generating my model language with this function:

generateRejectingLanguageModelFromArray:withFilesNamed:withOptionalExclusions:usingVowelsOnly:withWeight:forAcousticModelAtPath:pathToModel

I’m using Rejecto and RapidEars

[oscarjiv91]

Hello again Halle.

I’m trying to recognize names (John, Brian, etc.) with different voices and accents.

using only speech related to your language model

For adaptation, does this mean that I need to record these names with different voices from a list of names I want to recognize? Or can be done recording other words just to “train” the phonemes?

[oscarjiv91]

I appreciate your help Halle! This was very helpful. Thanks

[oscarjiv91]

Yes, I’m always setting the Rejecto weight to 2.0. Setting the vadThreshold to 3.0 in spanish, I get more false positives than expected when somebody is talking (especially when there are words with similar vowels), even if there is no background noises. I guess this is an accuracy issue, right?

[oscarjiv91]

Ok thanks Halle! Will test it more with higher values. I’m using Rejecto btw :)

[oscarjiv91]

This “sensitivity setting” is the vadThreshold? or another variable used by openears?

[oscarjiv91]

or training the acoustic model?

[oscarjiv91]

Thanks for your quick reply.

The thing is that I need to recognize the words from like 2 meters away, and if I set the vadThreshold with a very high value, it does not recognize the word I want. Adapting the acoustic model would improve the accuracy?

[oscarjiv91]

Oh ok. Thanks for your quick response :).

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