gam30/

nepali-asr-test-set-all-noisy

A curated dataset of Nepali speech with synthetic noise for automatic speech recognition (ASR) research and testing.

This dataset contains 726 audio samples of Nepali speech with noise augmentation, derived from the FLEURS (Google Federated Learning for Emoji Recognition via Speech) test set.

	Key Characteristics




	

Property Value

Language Nepali

Source FLEURS Google Test Set

Number of Samples 726… See the full description on the dataset page: https://huggingface.co/datasets/gam30/nepali-asr-test-set-all-noisy.