AIMC Topic: Sound

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Fast environmental sound classification based on resource adaptive convolutional neural network.

Scientific reports
Recently, with the construction of smart city, the research on environmental sound classification (ESC) has attracted the attention of academia and industry. The development of convolutional neural network (CNN) makes the accuracy of ESC reach a high...

Real-Time Sonar Fusion for Layered Navigation Controller.

Sensors (Basel, Switzerland)
Navigation in varied and dynamic indoor environments remains a complex task for autonomous mobile platforms. Especially when conditions worsen, typical sensor modalities may fail to operate optimally and subsequently provide inapt input for safe navi...

Medical image segmentation model based on triple gate MultiLayer perceptron.

Scientific reports
To alleviate the social contradiction between limited medical resources and increasing medical needs, the medical image-assisted diagnosis based on deep learning has become the research focus in Wise Information Technology of med. Most of the existin...

Deep Prior Approach for Room Impulse Response Reconstruction.

Sensors (Basel, Switzerland)
In this paper, we propose a data-driven approach for the reconstruction of unknown room impulse responses (RIRs) based on the deep prior paradigm. We formulate RIR reconstruction as an inverse problem. More specifically, a convolutional neural networ...

A Survey of Underwater Acoustic Data Classification Methods Using Deep Learning for Shoreline Surveillance.

Sensors (Basel, Switzerland)
This paper presents a comprehensive overview of current deep-learning methods for automatic object classification of underwater sonar data for shoreline surveillance, concentrating mostly on the classification of vessels from passive sonar data and t...

Sensing Control Parameters of Flute from Microphone Sound Based on Machine Learning from Robotic Performer.

Sensors (Basel, Switzerland)
When learning to play a musical instrument, it is important to improve the quality of self-practice. Many systems have been developed to assist practice. Some practice assistance systems use special sensors (pressure, flow, and motion sensors) to acq...

Large-scale recognition of natural landmarks with deep learning based on biomimetic sonar echoes.

Bioinspiration & biomimetics
The ability to identify natural landmarks on a regional scale could contribute to the navigation skills of echolocating bats and also advance the quest for autonomy in natural environments with man-made systems. However, recognizing natural landmarks...

Sound Can Help Us See More Clearly.

Sensors (Basel, Switzerland)
In the field of video action classification, existing network frameworks often only use video frames as input. When the object involved in the action does not appear in a prominent position in the video frame, the network cannot accurately classify i...

Exploiting deep neural network and long short-term memory method-ologies in bioacoustic classification of LPC-based features.

PloS one
The research describes the recognition and classification of the acoustic characteristics of amphibians using deep learning of deep neural network (DNN) and long short-term memory (LSTM) for biological applications. First, original data is collected ...

Sound Event Detection by Pseudo-Labeling in Weakly Labeled Dataset.

Sensors (Basel, Switzerland)
Weakly labeled sound event detection (WSED) is an important task as it can facilitate the data collection efforts before constructing a strongly labeled sound event dataset. Recent high performance in deep learning-based WSED's exploited using a segm...