Summary Large-scale audio dataset for emergency vehicle sirens and road noises | Scientific Data www.nature.com
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Researchers developed a comprehensive audio dataset for emergency vehicle sirens and road noises to support AI classification and traffic management, which incorporates a detailed analysis of ambulance sirens.
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Key Points
- Researchers have developed a large-scale audio dataset for emergency vehicle sirens and road noises.
- The dataset aims to help the research community apply AI techniques to classify emergency vehicles from traffic and road noises.
- The dataset was collected using live camera feeds and converted into audio files.
- The dataset consists of 1800 audio files labeled into two classes: siren sound and road noise.
- Various features, such as frequency and amplitude, were extracted from the audio files to train a system for differentiation.
Summaries
29 word summary
Researchers created a large audio dataset for emergency vehicle sirens and road noises to assist in AI classification and traffic control. It includes a detailed interpretation of ambulance sirens.
45 word summary
Researchers have developed a large-scale audio dataset for emergency vehicle sirens and road noises to aid in the application of AI techniques for classifying emergency vehicles and controlling traffic flow. The dataset addresses limitations in existing datasets by including a comprehensive interpretation of ambulance sirens
282 word summary
Researchers have developed a large-scale audio dataset for emergency vehicle sirens and road noises. The dataset aims to help the research community apply AI techniques to classify emergency vehicles from traffic and road noises, which can in turn control traffic flow, reduce congestion, and
This research work presents the development of an audio dataset that includes a wide range of real-world traffic sounds and emergency vehicle sirens. Existing datasets lack comprehensive interpretation of ambulance sirens and have various limitations. For example, the Google AudioSet dataset is in
The SSUET site in Karachi was one of the locations where data was collected for a large-scale audio dataset on emergency vehicle sirens and road noises. Live camera feeds were used to capture video, which was then converted into audio files. The videos
A large-scale audio dataset for emergency vehicle sirens and road noises was analyzed and prepared for scientific use. The dataset consists of 1800 audio files labeled into two classes: siren sound and road noise. The data collection process involved sampling frequencies and
A large-scale audio dataset for emergency vehicle sirens and road noises was created. The data was divided into metadata and audio WAV files, and various features were extracted, including frequency and amplitude. These features were used to train a system to differentiate between different
The article discusses a large-scale audio dataset specifically focused on emergency vehicle sirens and road noises. It mentions various related studies and datasets, such as VGGSound, Ar-DAD, EVP-STC, Urban Sound Dataset, FSD50K,
The document is a scientific data article titled "Large-scale audio dataset for emergency vehicle sirens and road noises." The authors of the article are Muhammad Asif, Muhammad Usaid, Munaf Rashid, Tabarka Rajab, and Sarwar