khazarai
/

Cardiology-TTS

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 - transformers
 ---
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 ## How to Get Started with the Model
@@ -132,126 +97,11 @@ sf.write("example.wav", audio, 24000)
 ### Training Data
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 ### Framework versions
 - PEFT 0.15.2

 - transformers
 ---
+# Model Card for Cardiology-TTS
 <!-- Provide a quick summary of what the model is/does. -->
 ## Model Details
+This is a fine-tuned version of the Conversational Speech Model (CSM-1B) using LoRA for parameter-efficient fine-tuning.
+The model is trained on a 1,530-sample dataset of medical cardiology texts, designed to generate high-quality speech from cardiology-related text.
+It leverages the capabilities of the original CSM-1B model for text-to-speech synthesis, extended with domain-specific terminology for medical cardiology.
+It is intended for speech generation in English, especially for clinical and educational contexts.
 ## Uses
 ### Direct Use
+- Text-to-Speech (TTS) generation for cardiology educational content, medical reports, or clinical explanations.
+- Integrating spoken content in healthcare apps, e-learning platforms, or patient-facing tools for cardiology topics.
+- Research and prototyping domain-specific TTS applications using small medical datasets.
 ## Bias, Risks, and Limitations
+- Small training dataset (2K samples) → Model may not generalize well to rare medical terms, long passages, or other medical domains outside cardiology.
+- English-only support → Model is not trained for other languages.
+- TTS artifacts → Some generated audio may contain unnatural pauses, mispronunciations, or clipping in challenging sentences.
+- Not for diagnostic purposes → Model outputs speech for educational/illustrative purposes and should not be used for medical diagnosis or patient instructions.
+- Model size and resources → CSM-1B is large; requires GPU for real-time inference and significant VRAM for batch synthesis.
 ## How to Get Started with the Model
 ### Training Data
+- Dataset: Dev372/Cardiology_Medical_STT_Dataset
+1,530 samples of cardiology-related text paired with audio.
 ### Framework versions
 - PEFT 0.15.2