Difference between revisions of "Projects talk:2019s2-24101 Improving Usability and User Interaction with KALDI Open- Source Speech Recogniser"

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To enable users to access functionalities of KALDI (http://kaldi.sourceforge.net/about.html) without the
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knowledge of scripting, a language like Bash, or detailed knowledge of the internal algorithms of KALDI. Furthermore
 
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attempts will be made to transcribe live audio speech continuously.
 
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Project Proposals: The proposal consists of two parts. For the first part is focused on improving usability and User
 
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Interaction with KALDI through a GUI that has the following features:
 
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• Availability of a microphone soft ON and OFF switch
 
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• Minimal scripting knowledge or commands to operate.
 
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• Provide users the ability to select acoustic and language models of their choice. This can be done by allowing
 
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the users either to select one of the pre-trained models or to perform their own acoustic and language model
 
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training in order to subsequently use those models.
 
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• Allow the user to select transcribing from continuous live speech input or from recorded audio. Recording
 
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audio from the speaker during live input allows the audio to be played back in order to correct errors in the
 
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transcript.
 
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• Isolating Utterance/Speaker ID and Speaker ID/Utterance pairs from decoded results for later analysis of
 
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recognition performance of each user. This process also allows plain transcript for each user to be produced
 
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that is free from labels and indices.
 
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• A facility whereby a user can improve her/his recognition performance with KALDI through user adaptive
 
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training i.e. by saving changes to her/his acoustic model after each decoding session.
 
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The second part is reporting the project outcomes through
 
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• Documenting the developed graphical user interface design and functionality for KALDI including the
 
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processes for selecting acoustic and language models, and incorporating online decoding features.
 
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• Documenting the results of evaluation studies related to the usability of the new GUI design.
 
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• Presenting the work to interested staff in Intelligence Analytics Branch of DST Group.
 

Latest revision as of 03:43, 7 October 2019