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Home/General Data/Living Room TV Content Audio Background Sound Classification Dataset

Living Room TV Content Audio Background Sound Classification Dataset

#audio classification #background sound analysis #noise recognition #smart home #audio processing #background sound recognition

Records: 500 hours
Size: 1.4G
Format: WAV
Provider: MOBIUSI INC
Updated: v1.02026-11-04

AI Analysis & Value Prop

In modern households, smart home devices need to recognize and adapt to the surrounding sound environment, but due to the diversity of audio signals, devices still face challenges in accuracy and real-time performance in background sound recognition. Existing audio recognition systems lack detailed categorization of background sounds and handling of special scenarios, making it difficult to respond accurately in changing environments. This dataset aims to address the classification of audio background sounds in living room TV content to meet the recognition needs of smart audio devices. Data was collected in real household environments using high-sensitivity microphone equipment to record audio data at different times and occasions. Quality control includes multiple rounds of annotation and consistency checks to ensure the accuracy of background sound classification. The annotation team consists of ten experts with experience in audio sorting. Data preprocessing employs advanced filtering and normalization techniques, and is organized and stored in WAV format.

Overview

Dataset Insights

Preview

Sample Examples

0257514667ba35d1d228dd6562fe299b.wav|44100

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Schema

Technical Specifications

Field	Type	Description
file_name	string	File name
duration	string	Duration
audio_rate	string	Audio sample rate
audio_channel	string	Audio channel
background_noise_type	string	The type of background noise identified in the audio, such as voices, music, traffic, etc.
background_noise_level	float	The intensity level of background noise in the audio, typically measured in decibels.
speech_presence	boolean	Indicates whether human speech is present in the audio.
music_presence	boolean	Indicates whether music is present in the audio.
duration_of_speech	float	The total duration of human speech in the audio, measured in seconds.
duration_of_music	float	The total duration of music segments in the audio, measured in seconds.
silence_percentage	float	The percentage of the audio that consists of silence.
audio_language	string	The identifiable language present in the audio.

Trust

Compliance Statement

Authorization Type

Proprietary - Commercial AI Training License (No Redistribution)

Commercial Use

Requires exclusive subscription or authorization contract (monthly or per-invocation charging)

Privacy and Anonymization

No PII, no real company names, simulated scenarios follow industry standards

Compliance System

Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

FAQ

Frequently Asked Questions

What is the main purpose of this dataset?: The main purpose of this dataset is to classify and recognize audio background sounds in living room TV content.

What types of research or projects is this dataset suitable for?: This dataset is suitable for audio classification, acoustic analysis, and related machine learning projects.

What should be noted when using the dataset?: When using the dataset, it is important to ensure data privacy and compliance with relevant usage standards.

How does this dataset assist in enhancing audio-related technologies?: By providing diverse audio background data, this dataset can help improve audio classification and recognition algorithms.

What specific types of background sounds are included in the audio dataset?: The dataset includes various background sounds such as dialogue, music, and ambient sounds.

How to evaluate the model's performance on this dataset?: The model performance can be evaluated by comparing metrics such as classification accuracy, recall, and F1-score.

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Cite this Work

@dataset{Mobiusi2026,
  title={Living Room TV Content Audio Background Sound Classification Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/b9a6bc75b5837c78e20f1b8de4a30f93?dataset_scene_id=16},
  urldate={2026-02-04},
  keywords={audio background sound dataset, living room TV audio classification, smart home audio recognition},
  version={1.0}
}

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