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.

GrAI Matter Labs (GML) and StreamUnlimited announced a partnership to demonstrate multiple novel applications using Artificial Intelligence (AI) in music and consumer audio. The companies will promote their expertise in product development for consumer devices in connected audio and AI, creating new reference platforms to deliver new experiences in speech, music and multimedia for portable speakers, soundbars, TVs and more.

Synaptics announced its newest AudioSmart AS33970 headset platform SoC, directly targeting the fastest growing product categories, from work-from-anywhere TWS earbuds to hearables. As the San Jose, California-based company details, the new SoC offers the world’s first highly integrated AI-enabled ENC (Environmental Noise Cancellation) and hybrid ANC (Active Noise Cancellation) single-chip solution integrating neural and voice processing engines for optimal audio performance.

Boston-based ReadSpeaker, an independent voice developer, unveiled its Neural TTS Engine, a Deep Neural Network (DNN) engine powering the company’s voice enablement platform. With the Neural TTS Engine, ReadSpeaker can generate superior-quality speech using DNN-trained models, and produce voice solutions at a fraction of the time required by legacy offerings. The enhanced platform comes amid explosive interest among businesses to use voice technology to best engage audiences in an increasingly contactless world.