ASR based on Kaldi + Deepspeech

A. Build ASR based on Kaldi or Deepspeech, trained using Librispeech and Mozilla libraries, and a text library which will be provided by the employer. B. Implement as a web application (possibly but not limited to using Python in the backend), to allow it to run on any platform. C. KPIs such as pronunciation (consonants and vowels), intonation, speed must be tracked, per pace and content. D. A custom word list based on user performance must be auto generated. GUI /dashboard must E. Graphically display the KPIs for increased user usability and navigation ease. F. Content, such as text library, should be recalled from a user dashboard G. Loaded content must be able to autoplay (pages of a book) while being capable of the on/offing of receiving and assessing user voice input, synced to loaded content. ** Respond to these questions to win the project. Proving your knowledge and ability to plan efficiently are the focus of these questions. 1. To start the project, need your advice on developing the deliverable for accessibility over multiple platforms. Your suggestion(s)? 2. Do you prefer using Kaldi, Sphinx, or another solution? Why? 3. Privacy is very important to our market, because of regulations. What security measures will you implement to ensure a secure system? 4. Explain what WER is. 5. Please summarize this project. Explain to me in a sentence what we are trying to build.