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101 Hours Environmental Noise Audio Dataset – Multi-Scene Ambient Sounds Recorded by Voice Recorder
environmental noise dataset
ambient sound recordings
voice recorder audio dataset
background noise dataset
subway noise
city soundscapes
airport audio data
sound recognition dataset
AI training audio
multi-scene noise dataset
This dataset contains 101 hours of environmental noise recordings captured using high-quality voice recorders across a wide range of real-world locations, including subways, supermarkets, dining halls, city streets, airports, cinemas, expressways, and high-speed trains. It offers diverse ambient sound conditions ideal for tasks such as noise reduction, environmental sound classification, and audio preprocessing in speech or sound recognition systems. The data has been validated by major AI companies and complies with 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.
Specifications
Format
44.1kHz, 16bit, wav, dual-channel;
Content category
Noise;
Recording condition
Noisy scenarios including subway, supermarket, dinning hall, street, exhibition hall, airport, cinema, high-speed train,express way, roads in city(in car);
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.
Specifications
Sample
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