speech recognition and translation models.
Focus on enhancing data quality and accessibility for AI development, including: 1. Multilingual Speech Dataset: A high-quality dataset covering over 30 languages to improve speech recognition and translation models. 2. Data Labeling and Annotation: Accurate labeling services for various applications, such as voice deepfake detection, 3D animation, and vehicle history reporting.