Update README.md

README.md

@@ -39,21 +39,33 @@ configs:
 
 
 
-KTTS Single Speaker Dataset
-Published: 30 August 2024
-|
-Version 2
-|
-DOI:
-10.17632/5c4dcvxdmb.2
-Contributors:
-Kh Mohmad Shafi
-,
-Asif Ali Bhat
-,
-Kamran Imtiyaz
-,
-Javaid Iqbal
+
+### 📌 **Citation for KTTS Single Speaker Dataset**  
+
+#### **KTTS Single Speaker Dataset**  
+📅 **Published:** 30 August 2024  
+📌 **Version:** 2  
+🔗 **DOI:** [10.17632/5c4dcvxdmb.2](https://data.mendeley.com/datasets/5c4dcvxdmb/2)  
+👨‍💻 **Contributors:**  
+- **Kh Mohmad Shafi**  
+- **Asif Ali Bhat**  
+- **Kamran Imtiyaz**  
+- **Javaid Iqbal**  
+
+🗂 **Original Dataset Link:** [Mendeley Data-KTTS Single Speaker Dataset](https://data.mendeley.com/datasets/5c4dcvxdmb/2)  
+
+---
+
+### 🔹 **Enhanced & Cleaned Version**  
+🔖 **Omarrran/kashmiri_single_speaker_tts_hf_dataset_2024** is a **cleaned, structured, and enhanced version** of the original **KTTS Single Speaker Dataset**, modified for **better accessibility and improved usability** in **Text-to-Speech (TTS) training**.  
+
+📌 **Improvements include:**  
+✔ **Strict audio-text alignment**  
+✔ **Corrected formatting issues**  
+✔ **Better dataset structure for machine learning applications**  
+
+🚀 **This version ensures improved reach and ease of use for researchers and developers working on Kashmiri TTS models.**
+
 Description
 This dataset has been primarily developed to facilitate the creation of text-to-speech systems for the Kashmiri language, a digitally underrepresented language predominantly spoken in the Jammu and Kashmir region of India. The dataset comprises 2,984 audio recordings in WAV format, each accompanied by its corresponding textual data in a separate file named ‘textcorpus.csv’. The ‘id’ column in the CSV file serves as a unique identifier, allowing users to efficiently locate the corresponding WAV files, which are systematically named according to the ‘id’ associated with the sentences they contain.
 All recordings feature a single male voice with a sample rate of 48,000 Hz, ensuring high-quality audio suitable for detailed phonetic analysis and machine learning applications. This consistent audio quality across the dataset provides a reliable foundation for training and testing text-to-speech models. Furthermore, the dataset can be a valuable resource for future research and development efforts aimed at enhancing digital accessibility for the Kashmiri-speaking population. 
@@ -128,27 +140,8 @@ If you use this dataset in your research, please cite it as follows:
   author = {Shafi, Kh Mohmad; Bhat, Asif Ali; Imtiyaz, Kamran ; Iqbal, Javaid (2024), “KTTS Single Speaker Dataset”, Mendeley Data, V2, doi: 10.17632/5c4dcvxdmb.2
 },
   title = {Omarrran/kashmiri_single_speaker_ttd_hf_dataset_2024},
-  year = {2023},
+  year = {2025},
   url = {https://huggingface.co/datasets/Omarrran/kashmiri_single_speaker_ttd_hf_dataset_2024}
+  doi = {10.17632/5c4dcvxdmb.2 },
 }
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