#Summarize machine how to

Since our goal is note-taking, this feature best fits our needs. In today’s project, we will be using speech-to-text with the auto-summarization feature. We will use that API key to use the services and features.ĪssemblyAI has excellent services and features that we can use for so many things, from topic detection to content moderation. We will get a unique API key after creating an account.

It is a very well-trained machine learning API. In this project, we are going to use AssemblyAI’s Speech-to-Text API. Without losing any time, let’s get started! Table of Contents: From my experience, this way, the learning becomes more permanent and joyful. One of the reasons I enjoy working on Machine Learning projects is that I can combine different areas/ topics with it.

It’s all about how you approach the problem and develop a solution. There is always some room for development. So, here comes the power of audio and video messages.Īs a tech enthusiast, I decided to combine this cool Slack feature with machine learning. There is a nice saying that I like: “A picture is worth a thousand words.” Sometimes explaining something with words can be very challenging or, in other words, can take more time than it should. This is an excellent communication method between colleagues. Slack has a feature where users can share audio or video recordings with their team members.

#Summarize machine how to

In this article, we will learn how to convert audio conversations on Slack into written notes.