Sound Effects Dataset
Sound Effects Dataset contains 500,000 professionally recorded and curated sound effect audio files, designed for a wide range of creative, research, and machine learning applications. This high-quality audio dataset includes real-world and synthetic audio events, rich metadata, and stereo recordings, enabling audio classification, speech recognition, and scene analysis across diverse acoustic environments.
-
- Audio
- 500,000
- Machine Learning
- Audio Processing
- ASR
- Voice Recognition
Sound Effects Dataset contains 500,000 professionally recorded and curated sound effect audio files, designed for a wide range of creative, research, and machine learning applications. This high-quality audio dataset includes real-world and synthetic audio events, rich metadata, and stereo recordings, enabling audio classification, speech recognition, and scene analysis across diverse acoustic environments.
- 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 |
Statistics
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- 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) |
Dataset Use Cases
FAQs
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