Update README.md

README.md

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-license: apache-2.0
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+---
+license: apache-2.0
+---
+LJSpeech-1.1 High-Resolution Dataset (48,000 Hz)
+
+Overview
+
+The LJSpeech-1.1 dataset, widely recognized for its utility in text-to-speech (TTS) and other speech processing tasks, has now been enhanced through a cutting-edge speech super-resolution algorithm. The original dataset, which featured a sampling rate of 22,050 Hz, has been upscaled to 48,000 Hz, providing a high-fidelity version suitable for advanced audio processing tasks.
+
+Key Features
+
+  - High-Resolution Audio: The dataset now offers audio files at a sampling rate of 48,000 Hz, delivering enhanced perceptual quality with richer high-frequency details.
+  
+  - Original Content Integrity: The original linguistic content and annotation structure remain unchanged, ensuring compatibility with existing workflows.
+  
+  - Broader Application Scope: Suitable for professional-grade audio synthesis, TTS systems, and other high-quality audio applications.
+  
+  - Open Source: Freely available for academic and research purposes, fostering innovation in the speech and audio domains.
+
+Enhancement Details
+
+Original Dataset
+
+  - Source: The original LJSpeech-1.1 dataset contains 13,100 audio clips of a single female speaker reading passages from public domain books.
+  
+  - Duration: Approximately 24 hours of speech data.
+  
+  - Annotations: Each audio clip is paired with a corresponding text transcript.
+
+Super-Resolution Processing
+
+The original 22,050 Hz audio recordings were processed using a state-of-the-art MossFormer2-based speech super-resolution model. This model employs:
+
+  - Advanced Neural Architectures: A combination of transformer-based sequence modeling and convolutional networks.
+  
+  - Perceptual Optimization: Loss functions designed to preserve the naturalness and clarity of speech.
+  
+  - High-Frequency Reconstruction: Algorithms specifically tuned to recover lost high-frequency components, ensuring smooth and artifact-free enhancement.
+
+Output Format
+
+  - Sampling Rate: 48,000 Hz
+  
+  - Audio Format: WAV
+  
+  - Bit Depth: 16-bit
+  
+  - Channel Configuration: Mono
+
+Use Cases
+
+  1. Text-to-Speech (TTS) Synthesis
+      ○ Train high-fidelity TTS systems capable of generating human-like speech.
+      ○ Enable expressive and emotionally nuanced TTS outputs.
+     
+  2. Speech Super-Resolution Benchmarking
+      ○ Serve as a reference dataset for evaluating speech super-resolution algorithms.
+      ○ Provide a standardized benchmark for perceptual quality metrics.
+      
+  3. Audio Enhancement and Restoration
+      ○ Restore low-resolution or degraded speech signals for professional applications.
+      ○ Create high-quality voiceovers and narration for multimedia projects.
+
+File Structure
+  
+The dataset retains the original LJSpeech-1.1 structure, ensuring ease of use:
+
+  ```sh
+  LJSpeech-1.1-48kHz/
+  ├── metadata.csv         # Text transcriptions and audio file mappings
+  ├── wavs/               # Directory containing 48,000 Hz WAV files
+  └── LICENSE.txt         # License information
+  ```
+Licensing
+
+The LJSpeech-1.1 High-Resolution Dataset is released under the same open license as the original LJSpeech-1.1 dataset (https://keithito.com/LJ-Speech-Dataset/). Users are free to use, modify, and share the dataset for academic and non-commercial purposes, provided proper attribution is given.