Category: Amazon Transcribe

This post is written by Doug Toppin, Software Development Engineer, and Kishore Dhamodaran, Solutions Architect. In public speaking, filler phrases can distract the audience and reduce the value and impact of what you are telling them. Reviewing recordings of presentations can be helpful to determine whether presenters are using filler phrases. Instead of manually reviewing […]

Many businesses operate call centers that record conversations with customers for training or regulatory purposes. These vast collections of audio offer unique opportunities for improving customer service. However, since audio data is mostly unsearchable, it’s usually archived in these systems and never analyzed for insights. Developing machine learning models for accurately understanding and transcribing speech […]

This post is courtesy of Maxime Thomas, DevOps Partner Solutions Architect – AWS This story begins when I joined AWS at the beginning of the year. I had a hard time during my ramp-up period trying to handle the amount of information coming from all directions. Technical training, meetings, new colleagues, in a worldwide company—the […]