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AxonData
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background-noise-detection-dataset

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Noise Collection

background noise

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AxonData commited on Feb 13

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 ## Dataset summary
 50+ hours of real-world urban environmental/ambient background noise (field recordings) without intelligible speech (speech-free), from three scenes: airport, street, subway. The dataset is non-synthetic and intended for speech enhancement via noise augmentation and sound event detection (SED) as “clean background”/negative class
 ## Purpose and usage scenarios
 - Speech enhancement: adding ambient/background noise to clean speech
 - Sound Event Detection: background samples without target events/speech; negative samples and false alarm rate estimation

 ## Dataset summary
 50+ hours of real-world urban environmental/ambient background noise (field recordings) without intelligible speech (speech-free), from three scenes: airport, street, subway. The dataset is non-synthetic and intended for speech enhancement via noise augmentation and sound event detection (SED) as “clean background”/negative class
+## Full version of dataset is availible for commercial usage - leave a request on our website [Axonlabs ](https://axonlab.ai/?utm_source=hugging-face&utm_medium=cpc&utm_campaign=profile&utm_content=profile_link)to purchase the dataset 💰
 ## Purpose and usage scenarios
 - Speech enhancement: adding ambient/background noise to clean speech
 - Sound Event Detection: background samples without target events/speech; negative samples and false alarm rate estimation