AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A native-reference phone-class geometry for measuring second language (L2) pronunciation deviation without requiring pronunciation labels, read-aloud prompts, or matched recordings from native and L2 speakers is proposed.
End-to-end system operation and support online reuse without test-day calibration are demonstrated and AESSI, an around-ear SSI using masked-context representation pretraining (MCRP), an around-ear SSI using masked-context representation pretraining is presented.
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