Most learning-based speech enhancement pipelines depend on paired clean–noisy recordings, which are expensive or impossible to collect at scale in real-world conditions. Unsupervised routes like ...

Abstract: Speech enhancement (SE) models based on deep neural networks (DNNs) have shown excellent denoising performance. However, mainstream SE models often have high structural complexity and large ...

Why was a new multilingual encoder needed? XLM-RoBERTa (XLM-R) has dominated multilingual NLP for more than 5 years, an unusually long reign in AI research. While encoder-only models like BERT and ...

Abstract: This study presents a deep learning (DL)-based approach to the seismic velocity inversion problem, focusing on both noisy and noiseless training datasets of varying sizes. Our seismic ...

We break down the Encoder architecture in Transformers, layer by layer! If you've ever wondered how models like BERT and GPT process text, this is your ultimate guide. We look at the entire design of ...

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...

NANJING, China—Magewell will showcase the latest addition to its Pro Convert product line and introduce a new family of Pro Convert devices during InfoComm 2025, June 11-13, at the Orange County ...

Beyond tumor-shed markers: AI driven tumor-educated polymorphonuclear granulocytes monitoring for multi-cancer early detection. Clinical outcomes of a prospective multicenter study evaluating a ...

This base64 encoder/decoder is faster than the stdlib base64 package. Encoding is 70% faster on ARM64 (Mac book M2) and 36% on AMD64 (i5 11th Gen). Decoding MIME encoded base64, which is base64 with a ...

As AI glasses like Ray-Ban Meta gain popularity, wearable AI devices are receiving increased attention. These devices excel at providing voice-based AI assistance and can see what users see, helping ...