1,297 Hours Environmental Noise Dataset – Multi-Scenario Real-World Audio by Voice Recorder

real-world noise data

voice recorder audio

subway noise dataset

supermarket audio dataset

noise reduction training data

sound classification dataset

AI training audio data

This dataset contains 1,297 hours of environmental noise recordings collected using voice recorders across diverse real-world scenarios, including subways, supermarkets, restaurants, roads, and more. All recordings are annotated with timestamps and relevant metadata, making the data ideal for training AI models in noise reduction, environmental sound classification, audio preprocessing, and speech enhancement tasks. The dataset has been validated by leading AI companies and complies with global data protection regulations including GDPR, CCPA, and PIPL.

This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.

What languages and scenarios are covered by Nexdata’s speech recognition datasets?

Nexdata offers speech recognition datasets covering a broad range of languages, dialects, and accents, backed by extensive global language resources. Our datasets include diverse speakers, acoustic environments, and real-world speech scenarios, supporting multilingual ASR, voice assistants, conversational AI, speech-to-text, and other speech-enabled applications.

Can Nexdata customize speech recognition datasets for specific languages or requirements?

Yes. If our off-the-shelf datasets do not fully meet your requirements, Nexdata provides flexible custom data collection, transcription, and annotation services. We can customize datasets based on target languages or dialects, speaker profiles, recording environments, speech scenarios, data volume, and annotation specifications to meet specific ASR development needs.

How does Nexdata ensure the quality and scalability of speech recognition datasets?

Nexdata applies multi-stage quality control throughout speech data collection, transcription, annotation, and validation. Combined with our extensive language resources and scalable collection capabilities, we can support both large-scale multilingual projects and specialized datasets for specific languages, dialects, accents, and speech scenarios.

1,297 Hours Environmental Noise Dataset – Multi-Scenario Real-World Audio by Voice Recorder

real-world noise data voice recorder audio subway noise dataset supermarket audio dataset noise reduction training data sound classification dataset AI training audio data

Current Project Maturity

real-world noise data

voice recorder audio

subway noise dataset

supermarket audio dataset

noise reduction training data

sound classification dataset

AI training audio data