BigVGAN v2: Audio Tech News

📣 Exciting news for developers in the audio tech space 🌟 BigVGAN v2 is here to revolutionize audio synthesis, delivering unparalleled quality and speed. 🎧✨ https://nvda.ws/47nyYdp ✅ Top-notch Audio Quality ✅ Faster Synthesis ✅ Pre-trained Checkpoints ✅ High Sampling Rate Support Dive into the future of audio synthesis with BigVGAN v2 and create sounds that are indistinguishable from the real thing 👀🌐💡 #BigVGANv2 #GenerativeAI

Upon request, we have provided audio examples for our latest ultra-lightweight model. With a model size of only 253 KB, this noise reduction model for speech can be distributed on a double density 5¼ inch floppy disk from the 8088 era. The latency is only 32 milliseconds. Here's the link to the audio demo: https://hance.ai/minimodel

ML-based noise cancellation typically involves training models on large datasets containing both clean and noisy audio. These models learn to identify and suppress noise while preserving the original sound. Compared to traditional noise reduction techniques, machine learning offers adaptive solutions that improve over time and work in a variety of noisy environments. If you want a more detailed explanation, you can either ask about the technology or view the video to get insights into how ML-driven noise cancellation is applied to improve audio experiences. https://lnkd.in/dUnRwP5a #NoiseCancellation #MachineLearning #MLAudio #AudioTechnology #SuperiorAudio #SoundQuality #AIForAudio #AIInnovation #ClearAudio #TechForGood #SmartAudio #AudioEngineering #AIInAudio

Can you repeat that, please? 📱 📞 Even today communication fails during phone calls because of bad audio. The reasons can be many: wind blowing into the microphone, noise in the background, and bad reception - to name a few. With AI audio enhancement we can combat these challenges by removing noise, and even regenerating lost audio. Today HANCE can do: - Realtime noise removal - Realtime reverb removal - Realtime stem separation ... and we're just getting started.

First experiment with #AIvideo, starting with the image generated by #MidJourney, the audio generated by #ElevenLabs, the video generated by #Hedra, and upscaling + frame interpolation done using #TopazLabs.

🎵 Sound the trumpets! 🎺 Our latest EngiSphere article is music to our ears! 🎧 Stanford researchers have composed a masterpiece with their new Audio Transformer architecture, outperforming traditional CNNs in large-scale audio understanding. It's like giving AI perfect pitch! 🎼🤖 Dive into our latest blog post to discover how this groundbreaking approach is amplifying the potential of audio technology. From voice assistants to music recommendations, the future is sounding sweeter than ever! 🍯 💬 Discussion Question: How do you think Audio Transformers could change your daily interactions with sound-based technology? #AudioAI #MachineLearning #TechInnovation #StanfordResearch

audioXpress highlights Ambiq's Neural Network Speech Enhancement (NNSE) AI model as part of their "Adaptive Audio: Artificial Intelligence for Smart Hearables" report. NNSE effectively extracts clear speech from noisy backgrounds on the device and in real-time, helping advance adaptive audio applications using AI on local devices. Read the report below:

Get a sneak peek into the future of hearables by AudioXpress's editor-in-chief, Joao Martins! 🎧🔊 Their latest newsletter provides a great summary of the hearables market and its future potential. Joao's article explores how on-device Artificial Intelligence (AI) and processing platforms are shaping the next generation of adaptive audio for True Wireless Stereo (TWS) devices. It also highlights our #NeuPro-M NPU family, which is designed specifically for this future. Boasting industry-leading performance and exceptional efficiency, the NeuPro-M NPU IP family is ideal for bringing the power of Generative AI to consumer and mobile markets like hearables. The NeuPro-M architecture is designed to support not only traditional CNNs but also cutting-edge transformer networks, paving the way for advanced AI features in hearables. Learn more about NeuPro-M> https://lnkd.in/dP4g2Mzw Read the full AudioXpress summary here > https://lnkd.in/dbnCbFd7 #Ceva #SmartEdge #Sense #AI #ArtificialIntelligence #NeuProM #hearables #TWS #Audio #NPU audioXpress