I noticed an inaccuracy in the model description between the README and the Technical Report. README: mentions "...unified encoder-decoder architecture..." Technical Report: states "...adopts a ...

Chinese AI startup Zhipu AI aka Z.ai has released its GLM-4.6V series, a new generation of open-source vision-language models (VLMs) optimized for multimodal reasoning, frontend automation, and ...

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 ...

If you are a tech fanatic, you may have heard of the Mu Language Model from Microsoft. It is an SLM, or a Small Language Model, that runs on your device locally. Unlike cloud-dependent AIs, MU ...

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more The University of California, Santa Cruz ...

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 ...

Thanks for sharing this clean codebase to your cool paper and congrats to achieving sota. I got a general question which I did not understand from the paper and this codebase about the architecture ...