Re: [Kaldi-developers] Adaptive Beam in decoder & gmm-aligened-compiled

[Daniel P. <dp...@gm...>]

There are a lot of reasons why decoders could fail on very long utterances
- likely some subtle issue relating to floating-point roundoff.  Without
having access to a test case this will be hard to debug.  In addition, I'm
not sure that I have time to do this right now.  But it does need someone
who understands Kaldi and is good with debugging.
Is there someone else on this list that could help Saman debug - maybe he
could send you the files needed?  I'm thinking that it might be possible to
modify the decoder to better handle these very longs files.

Dan


On Mon, Sep 29, 2014 at 7:50 AM, Saman Mousazadeh <smo...@gm...>
wrote:

> Hi everybody,
> I have trained a model for alignment and I want to use that model for
> aligning an audio file. Since my audio is long I decided to use Adaptive
> Beam  in decoder. to do this I have changed decode_opts.min_active
> and decode_opts.max_active for decoder. Now something strange happened. If
> I do not set these parameters and I use beam=1000 (e.g.) the
> gmm-aligned-compiled will success but by setting these parameters it fails.
> I even set these parameters such that the adaptive beam will always be
> greater than 1000 but still gmm-aligned-compiled  failed. why? and how
> can I use adaptive beam for decoding?
> Best
> Saman
>
>
>
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