Ambiq Removes Noise in Real-Time with Speech Enhancement AI for Connected Applications

Ambiq introduced the Neural Network Speech Enhancer (NNSE), the latest addition to its neuralSPOT's Model Zoo - a highly optimized AI model that effectively removes background noise from speech on the device in real-time, allowing clean speech capture in noisy environments. As with all Ambiq Model Zoo components, NNSE includes scripts and tools to help developers add speech de-noising capabilities to their applications.

Jünger Audio announced a new Voice Processor designed to make life easier for engineers working in radio, TV and ADR facilities. Analyzing incoming audio and comparing its spectrum with individually predetermined voice 'fingerprints’, the D*AP4 VAP Voice Processor is able to automatically apply dynamic EQ corrections and balance spectral differences in real-time.

Lawo’s cost-efficient and flexible Commentary Unit (LCU) was developed in close cooperation with Host Broadcast Services (HBS), a Swiss company specializing in producing multilateral video and audio feeds for TV and radio from world-class international sports events. The fully digital …