Update README.md

README.md

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 # Audio-Classification-Raw-Audio-to-Mel-Spectrogram-CNNs
-Complete end-to-end audio classification pipeline using deep learning. From raw recordings to Mel spectrogram CNNs, includes preprocessing, augmentation, dataset validation, model training, and evaluation — a reproducible blueprint for speech, environmental, or general sound classification tasks.
+Complete end-to-end audio classification pipeline using deep learning. From raw recordings to Mel spectrogram CNNs, includes preprocessing, augmentation, dataset validation, model training, and evaluation, a reproducible blueprint for speech, environmental, or general sound classification tasks.
 
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-# Audio Classification Pipeline — From Raw Audio to Mel-Spectrogram CNNs
+# Audio Classification Pipeline - From Raw Audio to Mel-Spectrogram CNNs
 
-> *“In machine learning, the model is rarely the problem — the data almost always is.”*
-> — A reminder I kept repeating to myself while building this project.
+> *“In machine learning, the model is rarely the problem, the data almost always is.”*
+> - A reminder I kept repeating to myself while building this project.
 
 This repository contains a complete, professional, end-to-end pipeline for **audio classification using deep learning**, starting from **raw, messy audio recordings** and ending with a fully trained **CNN model** using **Mel spectrograms**.