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Home > All Category Datasets > Speech Recognition Datasets > Far-Field In-Home Noise Dataset – 10 Hours from Microphone Arrays

Far-Field In-Home Noise Dataset – 10 Hours from Microphone Arrays

far-field audio dataset

in-home noise dataset

mic array audio

microphone array dataset

household sound recordings

smart home dataset

far-field ASR dataset

voice enhancement data

indoor noise audio dataset

multi-mic speech dataset

This 10-hour Far-Field In-Home Noise Dataset was collected using multiple types of microphone arrays installed in real family home environments. Each mic array setup offers varied spatial capture perspectives, making the dataset ideal for AI tasks such as far-field automatic speech recognition (ASR), voice enhancement, smart speaker training, and multi-microphone signal processing. All data has undergone rigorous quality validation and complies with global privacy 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

Specifications

Format

Microphone array 48kHz 32bit(Floating point);

Content category

Background noises of TV,refrigerator,air-conditioner,kitchen ventilator,washing machine,airpurifier,and dust collector; multi-people dialogue;

Recording condition

Living room, kitchen, bedroom, with window open/closed;

Recording device

MEMS microphone array, 8-microphone ring array,6(6+1)-microphone ring array,4(4+1)-microphone ring array,4-microphone liner array,3(3+1)-microphone ring array,2-microphone liner array;

Sample

Sample

Audio
Audio
Audio
Audio
Audio

Recommended Datasets

Recommended Dataset

Radio Frequency Noise Dataset – 20 Hours Indoor Microphone Audio

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.

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

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