Commercial

Sound Effects Dataset

This dataset contains 500,000 professionally recorded and curated sound effect audio files, designed for a wide range of creative, research, and machine learning applications.

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  • Audio
    500,000
  • Machine Learning
  • Audio Processing
  • ASR
  • Voice Recognition
  • Audio
    500,000

Dataset Info

Characteristic Data
Description Sound effect audio files covering diverse categories, regions, and both synthetic & real-world recordings
Data types Audio
Tasks Speech recognition, Audio Synthesis Models
Number of audio files 500,000
Labeling Metadata (id, name, audio_format, genres, var_tags, instruments, vocal_instrumental, artist_name, album_id, gender, duration, release date, acoustic electric, album_name, speed, language)
Gender Male, Female
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Statistics

Distribution by gender
Distribution by speed

Technical
Characteristics

Characteristic Data
Audio Format MP3, WAV, FLAC
Sampling Rate 44.1 kHz or higher
Number of Channels Primarily stereo; mono files are included only when originally recorded as mono (approx. 1,5% of the dataset)
Source and collection methodology: Data was collected via crowdsourcing platforms.

Industries

Entertainment Industry

  • Film & Game Development:

    High-quality sound effects for immersive storytelling, game design, and post-production.

  • Music Production:

    Unique audio samples for composers and producers to enhance creative projects.

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E-commerce and Retail

  • Product Sound Design:

     Create distinctive audio cues for brand devices (e.g., smart speaker notifications, checkout sounds).

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Our team got in touch with UniData for purchasing video data. The team at UniData was transparent, timely, and pleasant to communicate and negotiate with. Their samples and descriptions aligned well with the data we received. We will certainly reach out to UniData again if we're in search of 3rd party video data.

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Data is well organized and easy to…

Data is well organized and easy to consume. We could download and use it for training within few hours of receiving the data links.

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