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README.md

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+# SynthVoice: This should be a paper Title
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+<p align="left">
+    📑 <a href="https://huggingface.co/papers/xxxx.xxxxx" target="_blank">Paper</a> &nbsp&nbsp | &nbsp&nbsp 🌐 <a href="https://synthvoice.github.io/" target="_blank">Project Page</a> &nbsp&nbsp | &nbsp&nbsp 💾 <a href="https://huggingface.co/collections/toolevalxm/synthvoice-67a978e28fd926b56a4f55a2" target="_blank">Released Resources</a> &nbsp&nbsp | &nbsp&nbsp 📦 <a href="https://github.com/xmhtoolathlon/Annoy-DataSync" target="_blank">Repo</a> 
+
+This is the resource page of our SynthVoice collection on Huggingface.
+
+**Dataset**
+
+| Dataset | Link |
+|-|-|
+| SynthVoice-Processed | [🤗](https://huggingface.co/datasets/toolevalxm/SynthVoice-Processed) |
+
+Please also check the raw data: [toolevalxm/SynthVoice-Raw](https://huggingface.co/datasets/toolevalxm/SynthVoice-Raw).
+
+**Models**
+
+| Base Model / Training | SynthVoice | SynthVoice++ |
+|-|-|-|
+| Coqui TTS VITS | [🤗](https://huggingface.co/toolevalxm/synthvoice-vits) | [🤗](https://huggingface.co/toolevalxm/synthvoice-vits-pp) |
+
+**Introduction**
+
+We utilize the Coqui TTS framework for synthesizing high-quality voice outputs from text transcripts. The synthesis is performed using the VITS model architecture, which has demonstrated superior quality in text-to-speech generation tasks. Our approach involves:
+
+1. Processing raw LibriSpeech transcripts
+2. Using Coqui TTS (coqui-ai/TTS) for voice synthesis
+3. Post-processing and quality filtering
+
+*Due to licensing requirements, we only release the processed subset containing synthesized outputs.