Speech processing and enhancement techniques have evolved rapidly over the past decades, fuelled by advances in machine learning, neural network architectures, and signal processing methodologies.

Generating speech from a piece of text is a common and important task undertaken by computers, but it’s pretty rare that the result could be mistaken for ordinary speech. A new technique from ...

Deep Learning beginners quickly learn that Recurrent Neural Network (RNNs) are for building models for sequential data tasks (such as language translation) whereas Convolutional Neural Networks (CNNs) ...

Neural Network Speech Enhancement Open-Source AI Model Operates in Real-Time with Minimal Latency and Energy Highlights Created from the ground up, the Neural Network Speech Enhancer (NNSE) is an open ...

The field of voice separation has made revolutionary progress in addressing the challenging 'cocktail party problem' with the ...

AUSTIN, Texas, Jan. 07, 2025 (GLOBE NEWSWIRE) -- Ambiq®, a leading developer of ultra-low-power semiconductors and solutions enabling edge AI, today announced a technological breakthrough for over-the ...

The accuracy of automatic speech recognition has made significant gains in the last few years thanks to the advent of deep neural networks. But there’s one area that has thwarted researchers: telling ...

Machine learning (ML) is a subset of artificial intelligence (AI) techniques that have shown great potential in solving challenging tasks in multimedia content processing. In the BBC Research & ...