Re: [Kaldi-users] Faulty i-vectors in a dialogue system

[Nagendra G. <nag...@go...>]

>From your description this does not sound like a faulty ivector. Ivector
might have a small role but you should first look for problems elsewhere.
Maybe the recording itself goes bad?

Nagendra Kumar Goel
On Jul 22, 2015 6:00 AM, "Amit Beka" <ami...@gm...> wrote:

> Hi,
>
> I've been using online_nnet2_decoder for quite some time now for ASR in a
> dialogue system, where some users are returning users. Naturally, we use
> online i-vector extraction to better recognize each user's speech.
>
> Unfortunately, we have found some cases where the extracted i-vector
> decreases the performance of the decoder, usually by identifying 0 or 1
> word (something like 'a', 'i' or 'yea') instead of recognizing the whole
> utterance. Usually, the degraded performance lasts for 5-6 utternaces (each
> is 1-3 seconds) until a good i-vector is "recovered".
>
> I would be grateful if anyone on the list may help with some of the
> following questions:
>
> 1. Is it a bug, or i-vectors may behave this way (for no apparent reason,
> when listening to the audio)?
>
> 2. Can I have a reliable way of telling when the i-vector is problematic?
> (except checking the lengths of the utterance and the transcription). What
> can be a good update method to the adaptation state (based on confidence,
> length of utternance)?
>
> 3. Is it possible to separate the i-vector to some features which are
> user-specific (like tone) and some that are environment specific (like
> noise)? If so, I would probably want to "forget" the environment-specific
> features and keep only the user-specific features when the utterances are
> not consecutive
>
> I was wondering if there is a way to "understand" the changes in the
> adaptation state, for a non-expert in signal-processing like me :)
>
> Thanks,
> Beka
>
>
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