AI Training

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AI training is the process of teaching a model to perform a task by exposing it to large datasets and adjusting its parameters to minimize error.

A speech enhancement model might be trained on millions of clean–noisy audio pairs to learn how to remove background noise.

The model iteratively updates its weights through backpropagation, gradually improving its ability to predict clean outputs from new inputs.

Here at ai-coustics, we continuously train and refine our models using diverse, high-quality datasets to deliver state-of-the-art speech enhancement.