Results 101 to 110 of about 8,338,200 (223)

Multi‐Modal AI Approach in Depression Detection and Treatment: A Systematic Review of Last Decade

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
Overview of multimodal approaches for depression detection and treatment. ABSTRACT Depression is a common and devastating mental health illness with serious personal and societal consequences. Despite advancing treatment techniques, there are still hurdles in the effective diagnosis and treatment of depression, such as prompt diagnosis, personalized ...
Smith K. Khare, Esmaeil S. Nadimi, U. Rajendra Acharya, Victoria Blanes‐Vidal   +3 more
wiley   +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

A Systematic Review of Data Science in Early Voice‐Based Detection of Parkinson's and Amyotrophic Lateral Sclerosis Neurodegenerative Diseases

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
Seven‐stage AI‐powered voice biomarker pipeline for neurodegenerative disease diagnosis and clinical decision support. ABSTRACT Recent studies have shown that voice analysis provides a feasible, non‐invasive diagnostic alternative for the early detection of neurodegenerative diseases (NDs), such as Parkinson's disease (PD) and Amyotrophic Lateral ...
Abdulazeez Mousa, Fatih Özyurt, Ridwan Boya Marqas Shamoun, Laszlo Barna Iantovics   +3 more
wiley   +1 more source

Mel-FullSubNet: Mel-Spectrogram Enhancement for Improving Both Speech Quality and ASR [PDF]

In this work, we propose Mel-FullSubNet, a single-channel Mel-spectrogram denoising and dereverberation network for improving both speech quality and automatic speech recognition (ASR) performance.
Zhou, Rui, Li, Xiaofei, Li, Xian, Fang, Ying   +3 more
core  

Explainable Artificial Intelligence for Clinical Trust in Parkinson's Disease: A Scoping Review on Non‐Invasive Digital Biomarkers

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
Explainable artificial intelligence is expanding Parkinson's disease research by improving model transparency, supporting biomarker discovery and optimizing predictive models, but further validation and clinical integration are needed before routine healthcare implementation. ABSTRACT Parkinson's disease (PD) increasingly relies on non‐invasive digital
Lorenzo Rettori, Erika Rovini, Hamido Fujita, Filippo Cavallo   +3 more
wiley   +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

High-quality Speech Synthesis Using Super-resolution Mel-Spectrogram

CoRR, 2019
In speech synthesis and speech enhancement systems, melspectrograms need to be precise in acoustic representations. However, the generated spectrograms are over-smooth, that could not produce high quality synthesized speech. Inspired by image-to-image translation, we address this problem by using a learning-based post filter combining Pix2PixHD and ...
Leyuan Sheng, Dong-Yan Huang, Evgeniy N. Pavlovskiy   +2 more
openaire   +3 more sources

Crystallization of dmisteinbergite (hexagonal CaAl2Si2O8) from type B CAI analog melt

Meteoritics &Planetary Science, Volume 61, Issue 9, Page 2258-2268, September 2026.
Abstract Dmisteinbergite is a metastable polymorph of CaAl2Si2O8, which has been found in calcium−aluminum‐rich inclusions (CAIs) in chondrites, although anorthite is the predominant CaAl2Si2O8 phase in natural type B CAIs. The occurrence/absence of igneous dmisteinbergite would put tighter constraints on the thermal history of CAIs.
Yasuaki Tsuruoka, Hideto Yoshida, Yuki Inoue, Daiki Yamamoto, Hiroyuki Kagi, Akira Miyake, Shogo Tachibana   +6 more
wiley   +1 more source

Comparing acoustic representations for deep learning-based classification of underwater acoustic signals: A case study on orca (Orcinus orca) vocalizations

Ecological Informatics
Passive acoustic monitoring of marine mammal vocalizations often relies on automated detectors to process large quantities of data. Many automated systems use spectrograms as a way to represent acoustic information, including those built on deep ...
Fabio Frazao, Ruth Joy, Michael Dowd
doaj   +1 more source

The Mel CGD spectogram.

, 2015
The left figure (A) shows the CGD spectrogram with Mel frequency resolution. The right figure (B) shows the corresponding mean values of each frequency value from the Mel CGD spectrogram.
M. Kashiha (732017), T. A. Niewold (732021), S. Ott (732016), C. P. H. Moons (732019), J. Vandermeulen (732012), F. A. M. Tuyttens (732020), E. Tullo (732014), I. Fontana (732015), C. Bahr (732013), M. Guarino (732018), D. Berckmans (732022)   +10 more
core   +1 more source