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Home > All Category Datasets > Speech Recognition Datasets > Radio Frequency Noise Dataset – 20 Hours Indoor Microphone Audio

Radio Frequency Noise Dataset – 20 Hours Indoor Microphone Audio

radio frequency noise dataset
RF noise audio
microphone noise data
ambient noise dataset
indoor noise audio
sound interference dataset
noise detection dataset
sound source localization dataset
acoustic modeling data
background noise recordings

This dataset contains 20 hours of radio frequency noise audio recorded via high-quality microphones in 66 different rooms, with 2–4 recording points per room and multiple recording angles per point. The setup simulates real-world RF interference and ambient indoor noise scenarios, supporting tasks like sound source localization, acoustic modeling, and noise classification. The dataset has been validated by leading AI firms and complies with all major privacy regulations, including GDPR, CCPA, and PIPL.

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SpecificationsSpecifications
Format
44.1kHz, 24bit, .wav, 12 Sound Channel;
Content category
Noise;
Recording condition
Quiet rooms with 16 suites, and 2-4 place per suites and 2-5 sets of data per place;
Recording device
BK measurement microphone; microphone array.
Sample Sample
  • Audio

  • Audio

  • Audio

  • Audio

  • Audio

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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.

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