Successful machine learning systems rely heavily on well-labeled data. Feeding your models with accurate and relevant labels enables them to learn relationships within the data and create meaningful insights. The process of tagging data to specific categories or classes is known as data labeling, and it plays a vital role in the overall performance

Data tagging is a crucial process in developing intelligent systems. It involves attaching tags to data points, which allows machine learning algorithms to learn patterns and produce predictions. Accurate labeled collections are essential for training AI models to perform tasks such as speech synthesis. The difficulty here of the labeling process d