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Commercial
Sound Effects Dataset
This audio 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, 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
- Machine Learning
- Audio Processing
- ASR
- Voice Recognition
This audio 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, 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
-
- 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
What types of annotations are provided?
Each audio file is accompanied by rich metadata annotations, including sound type, genre, instruments, vocal or instrumental classification, artist information, duration, and recording details. These annotations enable training supervised machine learning models and automated audio recognition systems with high accuracy.
Can I request a sample of the dataset before purchasing or downloading it?
Yes. You can request a free sample of Sound Effects Dataset to evaluate audio quality, diversity of sound events, and metadata completeness. Sampling allows researchers and developers to assess its suitability for training audio recognition systems or synthesizing new sounds.
Is it possible to request a custom dataset?
Yes. Unidata provides custom dataset services, allowing clients to select specific audio categories, instruments, vocal/instrumental types, or acoustic environments. Custom datasets are ideal for specialized projects in music information retrieval, speech recognition, or sound classification.
How was the data collected?
The dataset was collected through crowdsourcing platforms, sourcing both real-world field recordings and synthetic audio events.
How are Unidata datasets licensed?
Unidata datasets follow a dual-licensing model: free samples are provided for evaluation and testing, while full datasets are available exclusively through purchase, supporting both academic and commercial use.
Do Unidata datasets follow GDPR or other data privacy regulations?
Yes. All datasets, including Sound Effects Dataset, comply with GDPR and applicable data protection laws. Data is sourced from legally permissible channels, ensuring ethical usage and privacy protection.
How are Unidata datasets stored?
Datasets are securely stored on AWS cloud infrastructure, ensuring high availability, scalability, and data integrity. Storage practices comply with ISO 27001 and ISO 27701 standards, providing a secure environment for handling audio data.
How long does it take to receive the dataset?
Once your request is submitted, Unidata reviews your details and completes the necessary documentation. After payment and signing, Sound Effects Dataset is delivered within 3–10 business days.
How can this dataset improve multimodal AI systems?
The sound effects dataset can be synchronized with video, image, or sensor datasets to help AI models understand events using multiple data modalities. This supports applications such as robotics, autonomous vehicles, video understanding, digital assistants, and intelligent monitoring systems.
Still have questions about using Unidata datasets?
Read our user-guides
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