Similar to visual data, collecting and curating sound data that accurately reflects real-world scenarios is a major hurdle in training effective machine learning models. The time, effort, and costs involved can be substantial, posing significant barriers, especially for projects with limited resources. As our mission is to lower the barriers of creating and utilizing ML and AI tools, we aim to drastically reduce these types of impediments, making the process faster, cheaper, and as reliable as possible.
This is a companion discussion topic for the original entry at https://www.edgeimpulse.com/blog/create-sound-datasets-generative-ai