AIMC Topic: Acoustics

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Using deep learning for acoustic event classification: The case of natural disasters.

The Journal of the Acoustical Society of America
This study proposes a sound classification model for natural disasters. Deep learning techniques, a convolutional neural network (CNN) and long short-term memory (LSTM), were used to train two individual classifiers. The study was conducted using a d...

A system of coordinated autonomous robots for Lagrangian studies of microbes in the oceanic deep chlorophyll maximum.

Science robotics
The deep chlorophyll maximum (DCM) layer is an ecologically important feature of the open ocean. The DCM cannot be observed using aerial or satellite remote sensing; thus, in situ observations are essential. Further, understanding the responses of mi...

Model-based convolutional neural network approach to underwater source-range estimation.

The Journal of the Acoustical Society of America
This paper is part of a special issue on machine learning in acoustics. A model-based convolutional neural network (CNN) approach is presented to test the viability of this method as an alternative to conventional matched-field processing (MFP) for u...

Highlighting interlanguage phoneme differences based on similarity matrices and convolutional neural network.

The Journal of the Acoustical Society of America
The goal of this research is to find a way of highlighting the acoustic differences between consonant phonemes of the Polish and Lithuanian languages. For this purpose, similarity matrices are employed based on speech acoustic parameters combined wit...

Marine animal tracking with classical and emerging localization algorithms.

Science robotics
Localization algorithms applied to acoustic tags for tracking marine animals can also be used to localize marine robots.

Mobile robotic platforms for the acoustic tracking of deep-sea demersal fishery resources.

Science robotics
Knowing the displacement capacity and mobility patterns of industrially exploited (i.e., fished) marine resources is key to establishing effective conservation management strategies in human-impacted marine ecosystems. Acquiring accurate behavioral i...

Meta-analysis of voice disorders databases and applied machine learning techniques.

Mathematical biosciences and engineering : MBE
Voice disorders are pathological conditions that directly affect voice production. Computer based diagnosis may play a major role in the early detection and in tracking and even development of efficient pathological speech diagnosis, based on a comp...

A feedforward neural network for direction-of-arrival estimation.

The Journal of the Acoustical Society of America
This paper examines the relationship between conventional beamforming and linear supervised learning, then develops a nonlinear deep feed-forward neural network (FNN) for direction-of-arrival (DOA) estimation. First, conventional beamforming is refor...

Beluga whale acoustic signal classification using deep learning neural network models.

The Journal of the Acoustical Society of America
Over a decade after the Cook Inlet beluga (Delphinapterus leucas) was listed as endangered in 2008, the population has shown no sign of recovery. Lack of ecological knowledge limits the understanding of, and ability to manage, potential threats imped...

Convolutional neural network for single-sensor acoustic localization of a transiting broadband source in very shallow water.

The Journal of the Acoustical Society of America
When a broadband source of radiated noise transits past a fixed hydrophone, a Lloyd's mirror constructive/destructive interference pattern can be observed in the output spectrogram. By taking the spectrum of a (log) spectrum, the power cepstrum detec...