This week, I spent some time implementing the crosswalk navigation submodule. One of the main difficulties was using pyttsx3 for real-time feedback. While it offers offline text-to-speech capabilities, fine-tuning parameters such as speech speed, volume, and clarity will require extensive experimentation to ensure the audio cues were both immediate and comprehensible. Since we will be integrating all of the modules soon, I anticipate that this will be acted upon. I also had to spend some time familiarizing myself with text-to-speech libraries in python since I had never worked in this space before.
I also anticipate there being some effort required to optimize the speech generation, as the feedback for this particular submodule needs to be especially quick. Once again, we will address this as appropriate if it becomes a problem during integration and testing.
Currently, I am about on schedule as I have a preliminary version of the pipeline ready to go. Hopefully, we will be able to begin the integration process soon, so that we may have a functional product ready for our demo coming up in a few weeks.
This week, I will probably focus on further optimizing text-to-speech response time, refining the heading correction logic to accommodate natural walking patterns, and conducting real-world testing to validate performance under various conditions.
