I want to transcribe meeting notes with following constraints: - Near real time (max 20 seconds delay) - No third party APIs, due to privacy issues.I looked into whisper, but that starts transcription only after the recording is stopped. I also looked into the browser's native speech recognition, but the browser sends the data to some servers for transcription. Any suggestions?
I want to fine tune a chatbot for therapy use. OpenAI has only a couple of tunable models, which are all completion models and developed in 2019.It is depressing to be stuck with a 2019 model.I am curious how others have approached this problem. How did you fine tune your chatbot?
I want to fine tune a language model to summarize the action items from meeting transcriptions. Due to privacy concerns, I need to run on the model on my local machine. I also need to be able to fine tune the model for our specific need. How do I pick a model to start with? There are so many options, and I feel lost.
I am creating a web application for transcribing conversations. The client sends chunks of data to the server every 30 seconds. At the end of recording, the server would use whisper library to transcribe the whole audio and return the text.I am comfortable working with a single audio file. But how could I transcribe chunks of audio? Do you know of any code examples?