Business Productivity
Tag: HAQM Machine Learning
Get higher quality call recordings using HAQM 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 HAQM Chime SDK’s Audio Science Innovations
Introduction I recently had the chance to sit down with Mike Goodwin, Sr Manager Applied Science for HAQM 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 HAQM Chime SDK is continually pushing the boundaries of what is possible […]
Effortlessly Summarize Phone Conversations with HAQM Chime SDK Call Analytics: Step-by-Step Guide
Introduction The HAQM Chime SDK Call Analytics Real-Time Summarizer is a solution that provides real-time summarization of the phone conversation held through HAQM Chime SDK Voice Connector that leverages the HAQM Chime SDK call analytics to provide real-time summarization of phone conversation health. This demo, HAQM Chime SDK Call Analytics Real-Time Summarizer, utilizes the HAQM […]
Add real-time call analytics to voice calls with hands-on workshop
HAQM Chime SDK launches hands-on workshop for real-time call analytics You can now learn how to use HAQM Chime SDK real-time call analytics with the Using HAQM 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. […]
Using call metadata to enhance insights provided by HAQM Chime SDK call analytics
Introduction On 27 Mar 2023, HAQM 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 HAQM 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 HAQM 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 […]
Build a scalable file-based noise reduction solution with HAQM Voice Focus AMI
In November 2021, HAQM Chime SDK team launched HAQM Voice Focus AMI for customers to help reduce background noise and improve the quality of their audio content. HAQM Voice Focus is an award-winning, deep-learning noise suppression algorithm used in HAQM Chime SDK meetings. It is now packaged as an HAQM Linux 2 (AL2) Machine Image (AMI). The HAQM […]