The future of image recognition technology is deep learning Compared to typical machine learning, deep learning works by building neural networks that simulate the mechanism of the human brain and ...

Speech Recognition: Deep learning is behind systems like Siri, Google Assistant, and Amazon Alexa, allowing them to understand spoken language and respond accordingly.

Using Deep Learning for Speech Intelligibility In this paper, the authors used Whisper, an advanced DL-based speech recognition model developed by OpenAI, to evaluate the intelligibility of ...

Nuance will ship new Dragon dictation software at the end of August, with improved recognition capabilities and new support for pre-recorded notes.

This week, Microsoft Research announced its newest deep learning project had outperformed humans in a test to identify objects in digital images.

"Deep learning models can be trained to perform complicated tasks such as image or speech recognition and determine meaning from these inputs," the paper's authors state.

Researchers explore a human speech recognition model based on machine learning and deep neural networks. They calculated how many words per sentence a listener understands using automatic speech ...

Typically, deep learning approaches to voice recognition — systems that employ layers of neuron-mimicking mathematical functions to parse human speech — lean on powerful remote servers for ...