• Research
• Clean up and add to each others sections

• Proposal (September 16/17)
  • Project Requirements
  • Conclusion
• Implementation (September 28)
  • Speech To Text API Research

• Proposal (September 16/17)
  • State of Art
  • Project Management Plan
• Implementation (September 28)
  • LLM API Research

• Proposal (September 16/17)
  • Problem Statement
  • Scope
• Implementation (September 28)
  • Text to Speech API Research

Research Notes:

• Speech To Text Research Notes
• Open AI API Research Notes

• One interesting thing is "streaming mode" -> API returns text as soon as text is generated instead of waiting for the whole prompt.
• OpenAI always takes atleast one second.

• Text To Speech Research Notes

Demo of google cloud pipeline:

• Complete speech to text, LLM generation and text to audio output.
• Entire pipeline using one API.
• Google PaLM2 model isn't as good as GPT-3.5. For example, inputting "hello" with default settings generates a hello world C++ program.

Marc began initial investigation for android development. The entire team will continue learning Kotlin (the language android apps are programmed in) for the next meeting.

• By doing reflections, we've expanded into a component of all talk therapy
• Need to focus on story since we are already good at technical aspects
• In future meetings, decide who says what in advance
• Speech diarization research will come later
• Need more research for text to speech inflections
• Decide if "end of input" determination is a problem
• "What" we do is more important than reports
• Need to figure out meeting 1 details
• Rose recommends reading this article