Update README.md

README.md

@@ -4,6 +4,8 @@ track_downloads: true
 pipeline_tag: audio-to-audio
 library_name: mamba-ssm
 tags:
+- streaming speech-enhancement
+- speech-enhancement
 - universal speech enhancement
 - multiple input sampling rates
 - language-agnostic
@@ -94,9 +96,9 @@ For example, ASR front-ends for improved noise robustness, TTS back-ends for enh
 Hugging Face 2026/04/14 (private)
 
 ## References
-[1] [Rethinking Training Targets, Architectures and Data Quality for Universal Speech Enhancement](https://arxiv.org/abs/2603.02641), 2025.
+[1] [Rethinking Training Targets, Architectures and Data Quality for Universal Speech Enhancement](https://arxiv.org/abs/2603.02641), 2026.
 
-[2] One Model, Many Latencies: Universal Speech Enhancement for Diverse Real-Time Applications, 2026
+[2] [One Model, Many Latencies: Universal Speech Enhancement for Diverse Real-Time Applications](http://arxiv.org/abs/2606.25621), 2026
 
 (Note: The released model checkpoint differs from the one reported in the paper. It incorporates additional degradation types (e.g., microphone response and more codecs) and is fine-tuned on a smaller, high-quality clean subset.)