Open Internet by MindsNet

Benchmarking Speech-to-Text Models in Noisy Environments

Evaluating speech-to-text (STT) models in real-world noisy environments is difficult due to the lack of labeled datasets that mimic production conditions. Existing public datasets are clean and don't reflect real-world noise, making it hard to accurately benchmark STT models.

Computing & Technology, Computer Science, Machine Learning