Why are the words combined when we use language model

[JRMeyer]

>>> dbanka
[December 27, 2017, 7:54am]

if I infer using my model without language model, I am getting this
output:

> on a istanash seeeelad foundre of asios sociats smalls a ce firm sand
> marets texes whe o engierating architectua o serven primarily servin
> cowe recourte this conversation sermey so lo we're here fore isaske so
> questions about the wayyuecannoct meetings wire then your business we
> are in t trig to get insight on aa application were developing thit
> takes the audio

If I infer with language model, I am getting:

> on a
> istanashseeeeladfoundreofasiossociatssmallsacefirmsandmaretstexeswheyoengieratingaarchitectuaoservenprimarilyservintcoweyrecourtethis
> conversation serve so what we are here for is ask some questions about
> the way you can not meetings were then your business we are in a try
> to get insight on an application were developing that takes the audio

My question is that why are many words combined/joined when we use
language model?

[This is an archived TTS discussion thread from discourse.mozilla.org/t/why-are-the-words-combined-when-we-use-language-model]

[JRMeyer]

>>> kdavis
[December 28, 2017, 9:48am]

Not answering your question, but making a suggestion.

As documented in the README

> Once everything is installed you can then use the deepspeech binary to
> do speech-to-text on short, approximately 5 second, audio files
> (currently only WAVE files with 16-bit, 16 kHz, mono are supported in
> the Python client)

The sentences you are feeding the system seem longer than 5 seconds,
assuming they're not from Steve
Woodmore.

To improve the performance of the acoustic and language model you should
limit your audio files to about 5 second in length.

[Archived Post]

[JRMeyer]

>>> panybj
[December 29, 2017, 7:55am]

someone said that the gpu deepspeech will not combine words.

[Archived Post]