CNN-Based Acoustic Scene Classification System
نویسندگان
چکیده
منابع مشابه
Acoustic Scene Classification Using a CNN-SuperVector System Trained with Auditory and Spectrogram Image Features
Enabling smart devices to infer about the environment using audio signals has been one of the several long-standing challenges in machine listening. The availability of public-domain datasets, e.g., Detection and Classification of Acoustic Scenes and Events (DCASE) 2016, enabled researchers to compare various algorithms on standard predefined tasks. Most of the current best performing individua...
متن کاملAcoustic Scene Classification
In this article we present an account of the state-of-the-art in acoustic scene classification (ASC), the task of classifying environments from the sounds they produce. Starting from a historical review of previous research in this area, we define a general framework for ASC and present different implementations of its components. We then describe a range of different algorithms submitted for a...
متن کاملHierarchical learning for DNN-based acoustic scene classification
In this paper, we present a deep neural network (DNN)-based acoustic scene classification framework. Two hierarchical learning methods are proposed to improve the DNN baseline performance by incorporating the hierarchical taxonomy information of environmental sounds. Firstly, the parameters of the DNN are initialized by the proposed hierarchical pre-training. Multi-level objective function is t...
متن کاملHierachical learning for DNN-based acoustic scene classification
In this paper, we present a deep neural network (DNN)-based acoustic scene classification framework. Two hierarchical learning methods are proposed to improve the DNN baseline performance by incorporating the hierarchical taxonomy information of environmental sounds. Firstly, the parameters of the DNN are initialized by the proposed hierarchical pre-training. Multi-level objective function is t...
متن کاملLarge-Scale 3D Scene Classification With Multi-View Volumetric CNN
We introduce a method to classify imagery using a convolutional neural network (CNN) on multi-view image projections. The power of our method comes from using projections of multiple images at multiple depth planes near the reconstructed surface. This enables classification of categories whose salient aspect is appearance change under different viewpoints, such as water, trees, and other materi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Electronics
سال: 2021
ISSN: 2079-9292
DOI: 10.3390/electronics10040371