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SL-AUAID011501V1 - Audio scene classification using ...
https://www.st.com/en/solutions-reference-designs/sl-auaid011501v1.html#:~:text=Audio%20scene%20classification%20%28ASC%29%20can%20make%20objects%20smarter,safety%2C%20environmental%20monitoring%2C%20healthcare%2C%20and%20many%20other%20applications.
AUDIO-VISUAL SCENE CLASSIFICATION
http://dcase.community/documents/workshop2021/proceedings/DCASE2021Workshop_Wang_20.pdf
Scene Classification Audio ideo V Figure 1: Overview of audio-visual scene classification modal approaches were allowed, therefore there was no requirement to use both audio and video data. 2.1. Dataset The dataset for this task is TAUUrbanAudio-VisualScenes2021. The dataset was recorded during 2018-2019 and consists of ten
Audio-Visual Scene Classification - DCASE
http://dcase.community/challenge2021/task-acoustic-scene-classification-results-b
Abstract—This report shows a deep learning framework for audio-visual scene classification (SC). Our extensive experiments, which are conducted on DCASE Task 1B development dataset, achieve the best classification accuracy of 82.2%, 91.1%, and 93.9% with audio input only, visual input only, and both audio- visual input, respectively.
SL-AUAID011501V1 - Audio scene classification using ...
https://www.st.com/en/solutions-reference-designs/sl-auaid011501v1.html
Audio scene classification (ASC) can make objects smarter and allow them to be aware of user environments. This can add new levels of functionality and user experience in wearables, safety, environmental monitoring, healthcare, and many other applications. The challenge is to simplify software development and hardware design, especially for portable or wearable devices with …
SVM-based audio scene classification | IEEE Conference ...
https://ieeexplore.ieee.org/document/1598721/
Audio scene classification is very important in audio indexing, retrieval and video content analysis. In this paper we present our approach that uses support vector machine (SVM) for audio scene classification, which classifies audio clips into one of five classes: pure speech, non-pure speech, music, environment sound, and silence.
Audio Scene Classification Research Papers - …
https://www.academia.edu/Documents/in/Audio_Scene_Classification
Recent papers in Audio Scene Classification. Papers; People; EXPERIMENTS ON THE DCASE CHALLENGE 2016: ACOUSTIC SCENE CLASSIFICATION AND SOUND EVENT DETECTION IN REAL LIFE RECORDING. In this paper we present our work on Task 1 Acoustic Scene Classification and Task 3 Sound Event Detection in Real Life Recordings. Among our experiments we have ...
At the Speed of Sound: Efficient Audio Scene Classification
https://dl.acm.org/doi/10.1145/3372278.3390730
Efficient audio scene classification is essential for smart sensing platforms such as robots, medical monitoring, surveillance, or autonomous vehicles. We propose a retrieval-based scene classification architecture that combines recurrent neural networks and attention to compute embeddings for short audio segments.
Deep Learning Based Audio Scene Classification | …
https://link.springer.com/chapter/10.1007%2F978-981-13-0716-4_9
Acoustic Scene Classification (ASC) is defined as recognition and categorizing an audio signal that identifies the environment in which it has been produced. This work aims to develop a Deep Neural Network (DNN) based system to detect the real life environments by analyzing their sound data. Log Mel band features are used to represent the characteristics of …
Improved Audio Scene Classification Based on Label …
https://ieeexplore.ieee.org/document/7933052
Abstract: In this paper, we present an efficient approach for audio scene classification. We aim at learning representations for scene examples by exploring the structure of their class labels. A category taxonomy is automatically learned by collectively optimizing a tree-structured clustering of the given labels into multiple metaclasses.
AUDIO-VISUAL SCENE CLASSIFICATION: ANALYSIS OF DCASE …
https://www.readkong.com/page/audio-visual-scene-classification-analysis-of-dcase-2021-7082185
For acoustic scene classification the input is typ- mitted systems in terms of approaches. Since visual data has a large ically a short audio recording, while for visual scene classification number of large datasets, e.g. ImageNet [6], CIFAR [19], most tasks the input can be an image or …
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