Business Productivity

Tag: Amazon Machine Learning

Get higher quality call recordings using Amazon Chime SDK call analytics

Voice enhancement for call recordings using machine-learning-powered denoising and a new speech superresolution model Why is it important to have higher quality audio recordings? Organizations record phone calls and archive call recordings for a variety of reasons including regulatory compliance and customer service quality control. For example, in many regulated industries, such as financial services, […]

In the Realm of Artificial Intelligence and Machine Learning: Exploring Amazon Chime SDK’s Audio Science Innovations

Introduction I recently had the chance to sit down with Mike Goodwin, Sr Manager Applied Science for Amazon Chime SDK to discuss his team’s work and gain a deeper understanding of their latest innovations. As a driving force behind new audio technologies, the Amazon Chime SDK is continually pushing the boundaries of what is possible […]

Architecture diagram of Amazon Chime SDK Call Analytics Real-Time Summarizer solution

Effortlessly Summarize Phone Conversations with Amazon Chime SDK Call Analytics: Step-by-Step Guide

Introduction The Amazon Chime SDK Call Analytics Real-Time Summarizer is a solution that provides real-time summarization of the phone conversation held through Amazon Chime SDK Voice Connector that leverages the Amazon Chime SDK call analytics to provide real-time summarization of phone conversation health. This demo, Amazon Chime SDK Call Analytics Real-Time Summarizer, utilizes the Amazon […]

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Add real-time call analytics to voice calls with hands-on workshop

Amazon Chime SDK launches hands-on workshop for real-time call analytics You can now learn how to use Amazon Chime SDK real-time call analytics with the Using Amazon Chime Call Analytics Workshop, a recent addition to AWS Workshops, a growing collection of self-paced tutorials designed to teach practical skills and techniques to solve business problems with AWS. […]

Architecture diagram for sending formatted metadata to the data lake created by Amazon Chime SDK call analytics

Using call metadata to enhance insights provided by Amazon Chime SDK call analytics

Introduction On 27 Mar 2023, Amazon Chime SDK launched the call analytics feature to help organizations extract real-time insights from voice conversations. This blog explains the steps required to enhance the data lake created for use with Amazon Chime SDK call analytics by parsing the metadata provided by a voice infrastructure. Metadata parsing is done […]

Label multiple speakers on a call with speaker search

Use Amazon Chime SDK’s call analytics to label speakers in a conference call Why is it useful to label speakers on conference calls? In many multi-party voice communications use cases, it is important to identify and label the active speakers in real time, in order to know what was said and by whom. This information […]

High-level design of scalable file-based noise reduction solution.

Build a scalable file-based noise reduction solution with Amazon Voice Focus AMI

In November 2021, Amazon Chime SDK team launched Amazon Voice Focus AMI for customers to help reduce background noise and improve the quality of their audio content. Amazon Voice Focus is an award-winning, deep-learning noise suppression algorithm used in Amazon Chime SDK meetings. It is now packaged as an Amazon Linux 2 (AL2) Machine Image (AMI). The Amazon […]