Update README.md

README.md

@@ -21,8 +21,6 @@ This dataset contains healthy speech samples from a male speaker (4014) in the L
 - **Corpus:** LibriSpeech
 - **Gender:** Male
 - **Speech Status:** Healthy
-- **Disorder Type:** None
-- **Severity:** None
 
 ## Dataset Statistics
 
@@ -45,14 +43,7 @@ This dataset contains healthy speech samples from a male speaker (4014) in the L
 - **Duration Range:** 2.3s - 17.0s
 - **Avg Text Length:** 169 characters
 
-## Usage
 
-This dataset is optimized for:
-- **Text-to-Speech (TTS) Fine-tuning** with models like Orpheus-TTS
-- **Voice Conversion (VC)** experiments with kNN-VC and similar methods
-- **Hybrid TTS+VC** pipeline development
-- **ASR Evaluation** on pathological speech
-- **Speech Synthesis Research** for accessibility applications
 
 ### Loading the Dataset
 
@@ -92,48 +83,4 @@ trainer = Trainer(
 )
 ```
 
-## Research Applications
 
-This dataset is part of a larger study on pathological speech synthesis and ASR degradation, investigating:
-
-1. **TTS Fine-tuning**: Speaker-specific fine-tuning of large TTS models
-2. **Voice Conversion**: Zero-shot conversion from healthy to pathological speech
-3. **Hybrid Approaches**: Combining TTS content generation with VC-based acoustic styling
-4. **ASR Robustness**: Evaluating ASR performance on synthetic pathological speech
-
-## Citation
-
-If you use this dataset in your research, please cite:
-
-```bibtex
-@dataset{librispeech_male_2025,
-  title={Librispeech Male Dataset for Pathological Speech Synthesis},
-  author={Your Name},
-  year={2025},
-  publisher={Hugging Face},
-  url={https://huggingface.co/datasets/your-username/librispeech_male}
-}
-```
-
-## Original Corpus Citation
-
-**LibriSpeech Corpus:**
-- TORGO: Please cite the original TORGO database papers
-- UA-Speech: Please cite the original UA-Speech corpus papers  
-- LibriSpeech: Please cite the original LibriSpeech papers
-
-## License
-
-MIT License - See LICENSE file for details.
-
-## Ethical Considerations
-
-This dataset contains speech from individuals with speech disorders and should be used responsibly:
-- Respect speaker privacy and dignity
-- Use for legitimate research purposes
-- Consider potential biases in synthetic speech generation
-- Ensure accessibility improvements benefit the target communities
-
-## Contact
-
-For questions about this dataset or the associated research, please contact [your-email].