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Welcome to Group Audio 2's Environmental Sound Event Detection site. On this site, you can search for previously recorded audio clips.
You can search for these by date. The system will recount short words (keyword spotting) and will also detect environmental sounds.
This web interface functions as part of the practical for the Smart Instrumentation course.
What is Environmental Sound Event Detection?
Environmental Sound Event Detection (SED) is a specialized area within the broader domains of audio signal processing and machine learning,
dedicated to the automatic recognition and classification of sound events in diverse environmental settings. The primary objective is to
develop computational systems that can analyze audio data and identify specific acoustic events or sound sources present in a given context.
This encompasses a wide range of everyday sounds, such as footsteps, vehicle noises, animal calls, or machinery sounds.
SED involves the extraction of relevant features from audio signals, followed by the application of machine learning algorithms to
categorize and identify different sound events. The challenges in this field include handling the variability in sound patterns due to
environmental conditions, background noise, and the diversity of sound sources.
Applications of Environmental Sound Event Detection are diverse and include environmental monitoring, urban soundscape analysis,
surveillance systems, and human-computer interaction. In environmental monitoring, SED can be used to track wildlife, detect natural
disasters, or assess the impact of human activities on ecosystems. In smart cities, it contributes to the analysis of urban soundscapes
for improving overall city planning and management. Additionally, SED can enhance surveillance systems by automatically recognizing
specific events or anomalies in audio data.
Overall, Environmental Sound Event Detection plays a crucial role in advancing technologies related to audio analysis, contributing to a
variety of fields that benefit from automated recognition and understanding of the acoustic environment.
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