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README.md

@@ -408,6 +408,8 @@ Data collection methods vary across individual datasets. For example, the above
 
 ## NVIDIA Riva: Deployment
 
+Streaming Sortformer is deployed via NVIDIA RIVA ASR - [Speech Recognition with Speaker Diarization](https://docs.nvidia.com/nim/riva/asr/latest/support-matrix.html#speech-recognition-with-speaker-diarization)
+
 [NVIDIA Riva](https://developer.nvidia.com/riva), is an accelerated speech AI SDK deployable on-prem, in all clouds, multi-cloud, hybrid, on edge, and embedded. 
 Additionally, Riva provides: 
 
@@ -415,8 +417,8 @@ Additionally, Riva provides:
 * Best in class accuracy with run-time word boosting (e.g., brand and product names) and customization of acoustic model, language model, and inverse text normalization 
 * Streaming speech recognition, Kubernetes compatible scaling, and enterprise-grade support 
 
-Although this model isn’t supported yet by Riva, the [list of supported models](https://huggingface.co/models?other=Riva) is here.  
-Check out [Riva live demo](https://developer.nvidia.com/riva#demos). 
+For more information on NVIDIA RIVA, see the [list of supported models](https://huggingface.co/models?other=Riva) is here.  
+Also check out the [Riva live demo](https://developer.nvidia.com/riva#demos). 
 
 
 ## References