AWS Machine Learning Blog· Nolan Chen·· 7 h ago
Building ultra-low-latency voice AI applications on AWS
Building ultra-low-latency voice AI applications on AWS
AI summary
Learn how Cartesia, an AWS Partner, uses purpose-built State Space Models and AWS infrastructure to deliver sub-100ms text-to-speech and speech-to-text at global scale, and how to deploy its Sonic model on Amazon SageMaker AI or self-managed Amazon EC2 GPU instances.
Selection record
Threshold 60Official, first-handFirst 32Second 28
Not admittedSum of both 60 < twice the threshold 120
- Source tier
- Official, first-hand; this tier's threshold is 60
- Pre-filter
- passed：语音AI模型部署与低延迟技术
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: AWS Machine Learning Blog · aws.amazon.com