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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.
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| − | == SUPERVISORS: ==
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| − | SAS:Dr Said Al-Sarawi
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| − | ----
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| − | DSTG (Dr Hashemi-Sakhtsari)
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| − | == PROJECT AIM AND MOTIVATION. ==
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| − | Aim
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| − | To improve the user interact ability of KALDI systems.
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| − | To improve the audio transcription quality by text to word accuracy rate.
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| − | Interfacing KALDI decoder to implement Neural Network with Kaldi decoder and HARK.
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| − | ----
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| − | Motivation
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| − | To create an open source environment for audio transcription using KALDI.
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