Collecting and labeling large-scale speech data that is representative, diverse, and accurately annotated is a significant challenge.
Data Services
Improves the robustness of research models.
Developing and refining Automatic Speech Recognition (ASR)systems, Voice User Interfaces (VUI), and Speech-to-Text (STT) models requires vast amounts of clean and well-labeled speech data.
NS, STT, PLC
Enhances the performance of research projects in speech recognition and related fields.
Research projects often involve working with noisy, lossy, or incomplete speech data, which can hinder the accuracy and reliability of NLP models.
NS, SE, LC, VAD
Accurate results