Amazon Launches Chime SDK Call Analytics
Amazon also re-engineered the graphical configuration in the Amazon Chime SDK section of the console, allowing users to analyse real-time audio data from voice analytics, Amazon Transcribe, or Amazon Transcribe Call Analytics Amazon launched Amazon Chime SDK call analytics to record and generate insights on real-time audio calls, including transcription, voice tone analysis, and speaker […]
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Amazon also re-engineered the graphical configuration in the Amazon Chime SDK section of the console, allowing users to analyse real-time audio data from voice analytics, Amazon Transcribe, or Amazon Transcribe Call Analytics
Amazon launched Amazon Chime SDK call analytics to record and generate insights on real-time audio calls, including transcription, voice tone analysis, and speaker search.
It also improved the Amazon Chime SDK section of the AWS Management Console to let users integrate machine learning-based services, such as these new call analytics capabilities or Amazon Transcribe, into their audio applications.
Alongside voice tone analysis, speaker search matches speakers to existing databases to expedite caller lookup and enrich call records and transcripts with identity attribution.
Amazon also re-engineered the graphical configuration in the Amazon Chime SDK section of the console, allowing users to analyse real-time audio data from voice analytics, Amazon Transcribe, or Amazon Transcribe Call Analytics; define where to send the analytics data, including an Amazon Kinesis stream or Amazon Simple Storage Service (Amazon S3) bucket. Voice analytics can send real-time notifications to a function deployed on AWS Lambda, an SQS queue, or Amazon Simple Notification Service (Amazon SNS) topic.
Finally, call analytics can generate real-time alerts by posting events to Amazon EventBridge. Users can route these events to any destination, AWS account, or supported third-party applications.
Amazon Chime SDK call analytics “makes it easier and cost-effective to record and generate insights on real-time audio calls. With their focus on ease of use, these new capabilities are particularly well adapted to customers with minimal knowledge of cloud infrastructure, telephony, and ML,” said Sebastian Stormacq, principal developer advocate at Amazon Web Services, in a blog post.
