Update README.md

README.md

@@ -1,13 +1,14 @@
 ---
 license: apache-2.0
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-LJSpeech-1.1 High-Resolution Dataset (48,000 Hz)
+# 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.
+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 using [**ClearerVoice-Studio**](https://github.com/modelscope/ClearerVoice-Studio), providing a high-fidelity version suitable 
+for advanced audio processing tasks.
 
-Key Features
+**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.
   
@@ -17,9 +18,7 @@ Key Features
   
   - Open Source: Freely available for academic and research purposes, fostering innovation in the speech and audio domains.
 
-Enhancement Details
-
-Original Dataset
+**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.
   
@@ -27,7 +26,7 @@ Original Dataset
   
   - Annotations: Each audio clip is paired with a corresponding text transcript.
 
-Super-Resolution Processing
+**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:
 
@@ -37,7 +36,7 @@ The original 22,050 Hz audio recordings were processed using a state-of-the-art
   
   - High-Frequency Reconstruction: Algorithms specifically tuned to recover lost high-frequency components, ensuring smooth and artifact-free enhancement.
 
-Output Format
+**Output Format**
 
   - Sampling Rate: 48,000 Hz
   
@@ -47,7 +46,7 @@ Output Format
   
   - Channel Configuration: Mono
 
-Use Cases
+**Use Cases**
 
   1. Text-to-Speech (TTS) Synthesis
       ○ Train high-fidelity TTS systems capable of generating human-like speech.
@@ -61,7 +60,7 @@ Use Cases
       ○ Restore low-resolution or degraded speech signals for professional applications.
       ○ Create high-quality voiceovers and narration for multimedia projects.
 
-File Structure
+**File Structure**
   
 The dataset retains the original LJSpeech-1.1 structure, ensuring ease of use:
 
@@ -71,6 +70,6 @@ The dataset retains the original LJSpeech-1.1 structure, ensuring ease of use:
   ├── wavs/               # Directory containing 48,000 Hz WAV files
   └── LICENSE.txt         # License information
   ```
-Licensing
+**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.