[Student-projects] Language model and Acoustic model for Malayalam

[Deepa P.Gopinath]

Hello,

As for Malayalam ASR not much work is reported in literature. Resources
available are very less. We have to do the following


   - *Create a sufficient speech corpus : * First of all we have to *select
   a suitable text corpus*, which is very representative. Movie
   conversation is not suitable. the speech sounds vary widely as the speaking
   style changes. It is very very difficult to make an ASR that will work with
   all speaking styles, since acoustic variability is so complex to model.
   Conversation especially varies from person to person. It is advisable to
   start with reading style.So there are two options - either take data from
   news recordings or make a recording by reading a selected text corpus.
   Second option is better since we can compile a *very representative data
   base, in consultation with linguists*.
   - *Develop acoustic model* : The phones in the database has to be mapped
   to phonemes and we to train the acoustic model to automatically do this
   mapping during recognition process. So far as my knowledge goes, we don't
   have an extensive phonetic dictionary readily available for Malayalam. In
   continuous speech phonemes change its acoustic properties depending on
   nearby phonemes, context and position of occurrence etc. Taking all these
   in to consideration, in consultation with linguists and referring to
   already  available linguistic works an acoustic model can be developed. We
   shall try with adaptive acoustic modeling.
   - *Develop language modeling :* The probabilistic modeling of the
   occurrence of sequence of words can be done using the same text corpus.


*Welcoming further discussions *
regards

-- 
Dr. Deepa P.Gopinath
Lecturer in Electronics and Communication
Department of  Electronics Engg.
College of Engineering Thiruvananthapuram
Kerala, India
Mobile- +919446583466
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