It creates a massive gap between the dataset’s applications and the researchers. However, there are different domains of life where data sets are scarce, or there is no precise data set available for study.

Another large-scale dataset was published 7, 8 that included more than 40 classes of daily life sounds. They have used various audio datasets that are publicly available, providing over a thousand audio clips labelled in multiple categories for different essential sounds, such as clapping, laughter, music, environmental noise, etc. With the availability of large datasets, researchers are making great strides in identifying and understanding audio 1, 2, 3, 4, 5, 6. However, collecting a dataset is a gigantic task, requiring efforts on a larger-scale, time, and resources. In addition, the researchers have implemented countless signal processing and AI techniques on the datasets to achieve their research objectives. AI techniques such as machine learning (ML) and deep learning (DL) for audio event detection and identification are in high demand these days. Similarly, any audio event-triggered AI algorithm requires a large-scale audio dataset for acoustic detection. Datasets are the key to any AI algorithm for training and decision-making. The technical validity of the dataset is also established.Īrtificial intelligence (AI) is now extensively used in many classification problems including audio classification. The developed dataset offers high quality and range of real-world traffic sounds and emergency vehicle sirens. The dataset is divided into two labelled classes one for emergency vehicle sirens and one for traffic noises. This work collects audio data using different methods, and pre-processed them to develop a high-quality and clean dataset. It also improves emergency response time, especially for fire and health events. Demand for such datasets is high as they can control traffic flow and reduce traffic congestion. This research paper presents a high-resolution dataset that will help the research community to apply AI techniques to classify any emergency vehicle from traffic and road noises. It is essential to develop new ideas to solve these problems, either by improving the infrastructure or applying the latest technology to use the existing infrastructure better. Traffic congestion, accidents, and pollution are becoming a challenge for researchers.

Mu online 97d sound files