Business Productivity
Category: HAQM Machine Learning
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 […]
Background noise suppression on the PSTN using the HAQM Chime SDK
Many people have experienced frustrating background noise on a meeting or phone call. Whether it’s talking to someone who is driving, a customer support agent in a large noisy office, or food being delivered by a courier on a windy night. It can be distracting and unproductive at best. We are excited to announce HAQM […]
Using HAQM Voice Focus AMI to reduce noise in audio
HAQM Chime SDK team has launched HAQM Voice Focus AMI for customers to help reduce 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 […]