Results 41 to 50 of about 3,484 (180)

Mel Frequency Cepstral Coefficients: An Evaluation Of Robustness Of Mp3 Encoded Music.

open access: yes, 2006
[TODO] Add abstract here.
Sigurdsson, Sigurdur   +2 more
openaire   +2 more sources

Artificial Intelligence in Voice Disorders: Current Landscape, Emerging Applications and Future Directions

open access: yesWorld Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objective To provide a comprehensive review of the current landscape of artificial intelligence (AI) applications in voice disorder, with emphasis on emerging applications, limitations, and future directions for clinical integration. Methods Literature review.
Rachel B. Kutler, Anaïs Rameau
wiley   +1 more source

Acoustic lung signals analysis based on Mel frequency cepstral coefficients and self-organizing maps

open access: yesRevista Facultad de Ingeniería, 2016
This study analyzes acoustic lung signals with different abnormalities, using Mel Frequency Cepstral Coefficients (MFCC), Self-Organizing Maps (SOM), and K-means clustering algorithm. SOM models are known as artificial neural networks than can be trained
Álvaro David Orjuela-Cañón   +1 more
doaj   +1 more source

Efficient Masked Autoencoder for Birdsong Representation with Applications on Wild Bird Species Classification

open access: yesIntegrative Zoology, EarlyView.
Research on mosquito feeding preferences and the malaria parasites they transmit is essential for understanding the interactions between hosts, vectors, and parasites. In this study, vertebrate hosts were identified in 72 mosquitoes. Most blood meals (58.7%) came from birds, representing 25 species, while 40.0% came from mammals (13 species), and 1.3 ...
Qin Zhang   +8 more
wiley   +1 more source

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

open access: yesWIREs 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   +3 more
wiley   +1 more source

Voice Analysis and Classification System Based on Perturbation Parameters and Cepstral Presentation in Psychoacoustic Scales

open access: yesДоклады Белорусского государственного университета информатики и радиоэлектроники, 2022
The paper describes an approach to design a system for analyzing and classification of a voice signal based on perturbation parameters and cepstral representation.
M. I. Vashkevich   +2 more
doaj   +1 more source

Design Patterns for the Development and Implementation of Bioacoustic Deep Learning Recognizers

open access: yesEcology and Evolution, Volume 16, Issue 8, August 2026.
This paper presents a set of design patterns for developing and integrating Convolutional Neural Network (CNN) recognizers in bioacoustic monitoring programs. Using a western toad case study, we illustrate solutions to common challenges in model development and workflow integration. These patterns provide a practical framework to improve the efficiency,
Gavin Hurd   +2 more
wiley   +1 more source

Speech Emotion Recognition Method Based on Support Vector Machine and Suprasegmental Acoustic Features

open access: yesДоклады Белорусского государственного университета информатики и радиоэлектроники
The problem of recognizing emotions in a speech signal using mel-frequency cepstral coefficients using a classifier based on the support vector machine has been studied. The RAVDESS data set was used in the experiments.
D. V. Krasnoproshin, M. I. Vashkevich
doaj   +1 more source

The Impact of Speaking Style on Speaker Classification Using Mel-Frequency Cepstral Coefficients [PDF]

open access: yesزبان پژوهی
This research investigates the impact of different speaking styles (read and spontaneous) on speaker identification accuracy. Mel-Frequency Cepstral Coefficients (MFCCs) were employed as input features, and the Random Forest algorithm was used for ...
Homa Asadi
doaj   +1 more source

Speech and Language Markers of Bipolar Disorder: Challenges and Opportunities

open access: yesBipolar Disorders, Volume 28, Issue 5, August 2026.
ABSTRACT Background Clinicians aspire to predict the emergence of Bipolar Disorder (BD) in a timely manner. To accomplish this, markers reflecting mental states that can be gathered non‐invasively and at large scale are needed. Here, we systematically evaluate evidence relating speech‐based markers to mood states in BD.
Farida Zaher   +4 more
wiley   +1 more source

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