Update README.md

README.md

@@ -1,7 +1,16 @@
+---
+license: mit
+datasets:
+- CuriousMonkey7/HumSpeechBlend
+language:
+- en
+base_model:
+- freddyaboulton/silero-vad
+---
 # HumAware-VAD: Humming-Aware Voice Activity Detection
 
 ## 📌 Overview
-**HumAware-VAD** is a fine-tuned version of the **Silero-VAD** model, trained to distinguish **humming from actual speech**. Standard Voice Activity Detection (VAD) models, including Silero-VAD, often misclassify humming as speech, leading to inaccurate speech segmentation. HumAware-VAD improves upon this by leveraging a custom dataset (**HumSpeechBlend**) to enhance speech detection accuracy in the presence of humming.
+**HumAware-VAD** is a fine-tuned version of the **[Silero-VAD](https://github.com/snakers4/silero-vad/tree/master)** model, trained to distinguish **humming from actual speech**. Standard Voice Activity Detection (VAD) models, including Silero-VAD, often misclassify humming as speech, leading to inaccurate speech segmentation. HumAware-VAD improves upon this by leveraging a custom dataset (**[HumSpeechBlend](https://huggingface.co/datasets/CuriousMonkey7/HumSpeechBlend)**) to enhance speech detection accuracy in the presence of humming.
 
 ## 🎯 Purpose
 The primary goal of **HumAware-VAD** is to:
@@ -66,4 +75,4 @@ If you use this model, please cite it accordingly.
   publisher = {Hugging Face},
   url = {https://huggingface.co/CuriousMonkey7/HumAware-VAD}
 }
-```
+```