Results 81 to 90 of about 3,240 (204)

Exploring the Impact of Image-Based Audio Representations in Classification Tasks Using Vision Transformers and Explainable AI Techniques

Information
An important hurdle in medical diagnostics is the high-quality and interpretable classification of audio signals. In this study, we present an image-based representation of infant crying audio files to predict abnormal infant cries using a vision ...
Sari Masri, Ahmad Hasasneh, Mohammad Tami, Chakib Tadj   +3 more
doaj   +1 more source

Advancing Marine Bioacoustics With Deep Generative Models: A Hybrid Augmentation Strategy for Southern Resident Killer Whale Detection

Marine Mammal Science, Volume 42, Issue 3, July 2026.
ABSTRACT Automated detection and classification of marine mammal vocalizations is critical for conservation and management efforts but is hindered by limited annotated datasets and the acoustic complexity of real‐world marine environments. Data augmentation has proven to be an effective strategy to address this limitation by increasing dataset ...
Bruno Padovese, Fabio Frazao, Michael Dowd, Ruth Joy   +3 more
wiley   +1 more source

Adaptive Acoustic Monitoring for Endangered Cook Inlet Beluga Whales in Complex Soundscapes

Marine Mammal Science, Volume 42, Issue 3, July 2026.
ABSTRACT Effective conservation of the endangered Cook Inlet beluga whale (Delphinapterus leucas) requires comprehensive spatiotemporal data, yet monitoring efforts remain spatially biased, underrepresenting important southern habitats. Passive acoustic monitoring (PAM) provides the necessary broad‐scale coverage, but its expansion introduces ...
Manuel Castellote, Rahul Dodhia, Daniela Ruiz, Zhongqi Miao, Pablo Arbelaez, Verena Gill, Lori Polasek, Juan M. Lavista Ferres   +7 more
wiley   +1 more source

Speech, spectrogram, mel-spectrogram and mfcc images of used datasets.

Speech, spectrogram, mel-spectrogram and mfcc images of used datasets.
Thanh-Cong Truong (18452213), Quoc Bao Diep (18452207), Hong Yen Phan (18452210)   +2 more
core   +1 more source

full_cough_2_d_coswara_coughvid_features

, 2022
Features extracted from Coswara and COUGHVID datasets: Mel-spectrogram, MFCC 13, 26 ...
Duong, Van Binh
core   +1 more source

Architectural Scalability and Attention Stabilization for Robust Impulsive Acoustic Spectrogram Classification Using Swin Transformer V2

IEEE Access
Impulsive acoustic event classification based on spectrogram representations remains challenging due to the non-stationary and broadband characteristics of transient signals.
Pafan Doungpaisan, Peerapol Khunarsa
doaj   +1 more source

Gate‐Align‐SED: Semi‐Supervised Sound Event Detection via Adaptive Feature Gating and Cross‐Task Alignment in Situation Awareness

Advanced Intelligent Systems, Volume 8, Issue 6, June 2026.
Overview of the proposed Gate‐Align‐SED, including two stages of training: (1) Mean‐Teacher SSL Training; and (2) Enhancer Model Training. In complex real‐world environments such as disaster monitoring, effective sound event detection (SED) is often hindered by the presence of noise and limited labeled data.
Jieli Chen, Li‐Minn Ang, Chee Shen Lim, Kah Phooi Seng, Jeremy Smith   +4 more
wiley   +1 more source

Indian Regional Music Dataset

, 2021
This dataset is a collection of mel-spectrogram features extracted from Indian regional music containing the following languages: Hindi, Gujarati, Marathi, Konkani, Bengali, Oriya, Kashmiri, Assamese, Nepali, Konyak, Manipuri, Khasi & Jaintia, Tamil ...
Yeshwant Singh, Anupam Biswas
core   +1 more source

Interpreting CNN models for musical instrument recognition using multi-spectrogram heatmap analysis: a preliminary study

Frontiers in Artificial Intelligence
IntroductionMusical instrument recognition is a critical component of music information retrieval (MIR), aimed at identifying and classifying instruments from audio recordings.
Rujia Chen, Akbar Ghobakhlou, Ajit Narayanan   +2 more
doaj   +1 more source

Application of Music Data Visualization Technology in Music Appreciation Teaching

Engineering Reports, Volume 8, Issue 6, June 2026.
The simulation environment is used to simulate real‐world music appreciation scenarios. DL is employed to preprocess music data, extract features, and identify rhythm information, which is then associated with visual design parameters to construct a parametric model.
Xiaowei Chen
wiley   +1 more source