The field of speech recognition has experienced transformative advances owing to the integration of neural network methodologies. Modern systems now merge statistical approaches with deep learning, ...

Recent advances in neural network design have spurred the development of energy-efficient architectures for speech recognition, a field that underpins a range of modern applications from smart ...

Ambiq Micro Inc., a low-power chip startup for intelligent devices at the edge, is enhancing its artificial intelligence toolkit with its new Neural Network Speech Enhancer, enabling devices to ...

This FAQ talks about how attention mechanisms work at their core, how they are used in automatic speech recognition systems, ...

The race is on to create one neural network that can process multiple kinds of data -- a more-general artificial intelligence that doesn't discriminate about types of data but instead can crunch them ...

Traditional voice or speech recognition technology is based on a trained model with specific words or phrases. Natural language processing is word-order independent. This requires large computing ...

A growing list of factory floors use speech-recognition programs and devices to streamline processes and improve ergonomics. Fluent.ai helps them use voice commands in any language and accent. Siri ...

Researchers combine acoustic monitoring with a neural network to identify fish activity on coral reefs by sound. They trained the network to sort through the deluge of acoustic data automatically, ...