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README.md

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 ## 📌 Overview
 **HumSpeechBlend** is a dataset designed to fine-tune **Voice Activity Detection (VAD) models** to distinguish between **humming** and actual speech. Current VAD models often misclassify humming as speech, leading to incorrect segmentation in speech processing tasks. This dataset provides a structured collection of humming audio interspersed with speech to help improve model accuracy.
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 ## 🎯 Purpose
 The dataset was created to address the challenge where **humming is mistakenly detected as speech** by existing VAD models. By fine-tuning a VAD model with this dataset, we aim to:
 - Improve **humming detection** accuracy.
 - Ensure **clear differentiation between humming and speech**.
-- Enhance **real-world speech activity detection**.
+- Enhance **real-world speech activity detection**. -->
 
 ## 📜 Dataset Creation Strategy
 To build this dataset, the following methodology was used: