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.

In this case, the researchers fed a ton of ordinary recorded speech to a convolutional neural network, which created a complex set of rules that determined which tones follow other tones in every ...

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 ...

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

Ambiq provides a significant leap for hearing-assist devices by addressing long-standing challenges through advanced neural network real-time processing.

Ambiq, a specialist in ultra-low-power semiconductor solutions, has announced the introduction of the Neural Network Speech Enhancer (NNSE), its latest addition to its neuralSPOT's Model Zoo. A highly ...

CNNs are particularly effective at solving tasks related to visual content, such as object classification or image enhancement. However, various networks based on CNNs are typically significantly ...