Audio Classification
Transformers
Safetensors
English
wav2vec2
voice-gender-detection
male
female
biology
SFT
Instructions to use prithivMLmods/Common-Voice-Gender-Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Common-Voice-Gender-Detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="prithivMLmods/Common-Voice-Gender-Detection")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("prithivMLmods/Common-Voice-Gender-Detection") model = AutoModelForAudioClassification.from_pretrained("prithivMLmods/Common-Voice-Gender-Detection") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -14,7 +14,7 @@ tags:
|
|
| 14 |
- SFT
|
| 15 |
---
|
| 16 |
|
| 17 |
-

|
| 18 |
|
| 19 |
# Common-Voice-Gender-Detection
|
| 20 |
|
|
|
|
| 143 |
* **Conversational AI Personalization** – Adjust tone or dialogue based on gender detection for more personalized voice assistants.
|
| 144 |
* **Voice Dataset Curation** – Automatically tag or filter voice datasets by speaker gender for better dataset management.
|
| 145 |
* **Research Applications** – Enable linguistic and acoustic research involving gender-specific speech patterns.
|
| 146 |
+
* **Multimedia Content Tagging** – Automate metadata generation for gender identification in podcasts, interviews, or video content.
|