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    • Image courtesy of auralhub.blogspot.com

      auralhub.blogspot.com

      • A sound or sound sequence in its spatial and temporal context as part of a SOUNDSCAPE. Whereas the SOUND OBJECT is abstracted from its original context and exists only as an acoustical object for study, the sound event acquires its meaning through its social and environmental context, as well as from its own acoustic characteristics.
      www.sfu.ca/sonic-studio-webdav/handbook/Sound_Event.html
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  2. Sound Event Detection (SED) is the task of recognizing the sound events and their respective temporal start and end time in a recording. Sound events in real life do not always occur in isolation, but tend to considerably overlap with each other.

  3. Aug 27, 2021 · Sound Event Detection: A tutorial Abstract: Imagine standing on a street corner in the city. With your eyes closed you can hear and recognize a succession of sounds: cars passing by, people speaking, their footsteps when they walk by, and the continuous falling of rain.

    • Annamaria Mesaros, Toni Heittola, Tuomas Virtanen, Mark D. Plumbley
    • 2021
  4. Jul 12, 2021 · In practice, the goal is to recognize at what temporal instances different sounds are active within an audio signal. This paper gives a tutorial presentation of sound event detection, including its definition, signal processing and machine learning approaches, evaluation, and future perspectives.

    • Annamaria Mesaros, Toni Heittola, Tuomas Virtanen, Mark D. Plumbley
    • arXiv:2107.05463 [eess.AS]
    • 2021
    • Audio and Speech Processing (eess.AS)
  5. Apr 29, 2024 · Sound event detection (SED) is a rapidly advancing field in current research dedicated to identifying and classifying diverse sounds within specified environments. Its applications span various domains: office spaces, parks, hospitals, forests, hotels, shopping malls, space research, and the automotive industry.

  6. Sep 26, 2019 · Let’s say a sound event is an audio clip which is generated from an action. The action can be speaking, humming, finger-snapping, walking, water pouring, etc. As humans, we have been training since we are very little to recognize events with audio.

  7. The goal of automatic sound event detection (SED) methods is to recognize what is happening in an audio signal and when it is happening. In practice, the goal is to recognize at what temporal instances different sounds are active within an audio signal. This task is illustrated in Fig. 1.

  8. Nov 17, 2022 · This article is an introduction to Sound Event Detection (SED). The article is aimed at anyone who wants to learn more about how to capture, use AI and machine learning to create insights in real time, based on incoming audio data in your own applications.