Monitoring AI solutions in healthcare

A comprehensive study and benchmark of 4 different Prediction Networks in RNN-T for offline

Two methods allow almost full recovery of the performance loss due to data deidentification

Enabling a more natural doctor-patient interaction with Ambient Intelligence.

The ChannelAugment technique improves robustness of multi-channel models

Dual-encoder architecture enables more accurate and natural speech interfaces

Nuance’s deep learning technology nearly halves the baseline error rate on named entities

Deep learning can be used for more accurate hands-free speech recognition

We present a framework for estimating acoustic properties of a signal using deep learning

New semi-supervised learning algorithm yields similar accuracy with 75% less labeled data

Discover how speech recognizers can operate in conditions unseen in training data.

End-to-end learning can adapt the way computers perceive various aspects of speech.