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Re: Creation of an online Greek mail dictation system, using Sphinx and personalized acoustic/language models training: Some questions

  • Subject: Re: Creation of an online Greek mail dictation system, using Sphinx and personalized acoustic/language models training: Some questions
  • From: Panagiotis Antoniadis <pantoniadis97 [ at ] gmail [ dot ] com>
  • Date: Fri, 22 Mar 2019 01:25:24 +0200
Hello,

After reading the diploma thesis of Giwrgos Ouzounis that was suggested, I
have the following questions in order to make a proposal that meets all the
requirements and the projects' needs. If I got it right, the thesis refers
to the same issue as the gsoc project does, which is mail dictation using
techniques as personalized acoustic model training and suggested
corrections based on a domain-classification. Of course, there are some
differences such as the different language and the deployment in the cloud.
So, will the project be an extension of this existing project by enhancing
the model, integrating the Greek language to it and deploying it in the
cloud? Or the thesis is just a reference material and different techniques
can be used now that we have the computing power of the cloud. For example,
I found out that Kaldi toolkit can be efficient when much computing power
is available and more specifically something like this
https://github.com/alumae/kaldi-gstreamer-server.

Antoniadis Panagiotis

Στις Τετ, 20 Μαρ 2019 στις 1:09 μ.μ., ο/η Manos Tsardoulias <
etsardou [ at ] eng [ dot ] auth [ dot ] gr> έγραψε:

> Hello Panagiotis,
>
> Thanks for the interest in our proposal. Concerning your questions:
>
>    - Python/Java is a stack that we are using, nevertheless you are free
>    to suggest any tool or programming language you see fit. Also, since the
>    project contains both frontend and backend work, more than one programming
>    languages will be used.
>    - Concerning the corrections in the generated text you are right, the
>    generic language model will produce a proposal and the domain/email
>    specific model will enhance the proposal by  suggesting alterations. The
>    desired output will be the dictated text, annotated with what the system
>    finds uncertain/not clear, based on the specific user's history.
>
> Best,
> Manos
>
> On Tue, Mar 19, 2019 at 11:15 AM Panagiotis Antoniadis <
> pantoniadis97 [ at ] gmail [ dot ] com> wrote:
>
>> Hello,
>>
>> My name is Panagiotis Antoniadis and I am a 4th-year student of
>> Electrical and Computer Engineering in National Technical University of
>> Athens. I am interested in the project "Creation of an online Greek mail
>> dictation system, using Sphinx and personalized acoustic/language models
>> training". I am familiar with the concept of NLP and speech recognition
>> after some academic projects and I hope to make a good proposal. These
>> days, I read the documentation of Sphinx4 and started writing a draft
>> proposal describing the whole procedure and the technologies that can be
>> used. Regarding the technologies, I have the following questions:
>>
>> -  The technologies that will be used (Python or Java) is something that
>> is defined or I should present my own view in my proposal? Sphinx4 is
>> written in Java and I didn't find a library that provides a python
>> interface to it. PocketSphinx exists as well that can be used in Python but
>> it is for lightweight purposes only. So, I understand that the whole
>> project should be written in Java. But, I believe that the classification
>> procedure should be implemented in Python in order to take advantage of all
>> its powerful frameworks. Is it possible to use both languages using a
>> library that connects them? If all these questions should be defined by me
>> in my proposal and not be discussed here, let me know.
>>
>> - In addition, it is mentioned that "the ASR output text will be fed to
>> the NLP (natural language processing) system that, based on the provided
>> corpora, will auto-correct or suggest corrections on the (usually
>> erroneous) generated text". So, the output of the asr will use the whole
>> language model in training and then be corrected using the domain specific
>> language model?
>>
>> Thanks in advance and forgive me for the long text.
>>
>> --
>> Antoniadis Panagiotis
>>
>> ----
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>> mentors of Google Summer of Code projects.,
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>>
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>>
>
>
> --
> Emmanouil G. Tsardoulias
> PhD, Electrical Engineer
> Aristotle University of Thessaloniki, Faculty of Engineering
> School of Electrical and Computer Engineering
> 54124 Thessaloniki, GREECE
> Tel.: +302310995922
> http://users.auth.gr/etsardou/
> http://r4a.issel.ee.auth.gr/
>


-- 
Αντωνιάδης Παναγιώτης
 
----
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