Results 41 to 50 of about 3,612,587 (208)

Machine Learning for Autism Spectrum Disorder Prediction: A Review of Data Augmentation and Feature Selection Techniques

Health Care Science, EarlyView.
Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by persistent difficulties in social communication, social interaction, and repetitive behaviors. Early diagnosis is often hindered by subjective clinical assessments and limited data availability.
Sahar Alkhaibari, Feng Dong
wiley   +1 more source

Genetic Algorithm for Combined Speaker and Speech Recognition using Deep Neural Networks

Journal of Telecommunications and Information Technology, 2018
Huge growth is observed in the speech and speaker recognition field due to many artificial intelligence algorithms being applied. Speech is used to convey messages via the language being spoken, emotions, gender and speaker identity.
Gurpreet Kaur, Mohit Srivastava, Amod Kumar   +2 more
doaj   +1 more source

Human biomarker navigator

iMeta, EarlyView.
The Human Biomarker Navigator integrates the disease continuum, biomarker dynamics, cross‐organ biomarker networks, biomarker classification, and technology‐driven paradigms. It maps how biomarkers link multi‐system physiology and pathology across the nervous, respiratory, endocrine, circulatory, immune, digestive, urinary, reproductive, and ...
Meng‐Yao Li, Qian Zhang, Zijie Wang, Zeping Gui, Jing Liu, Jingda Li, Maojun Jiang, Zukang Chang, Qingqing Han, Bendong Yang, Tariq Saeed, Jun Li, Jinghan Jia, Chenghu Song, Tong Shao, Tianhuan Peng, Xueying Zhang, Pingping Guo, Jun Luo, Gangao Yang, Yuan Wan, Gokhan Zengin, Quan Yuan, Lingru Li, Xiaohui Fan, Yang Luo, Lvyun Zhu, Yanfei Zheng, Wenjun Mao, Wenlong Sun   +29 more
wiley   +1 more source

Comparison of Mel Frequency Cepstral Coefficient (MFCC) Feature Extraction, With and Without Framing Feature Selection, to Test the Shahada Recitation

RSF Conference Series: Engineering and Technology, 2021
Voice research for feature extraction using MFCC. Introduction with feature extraction as the first step to get features. Features need to be done further through feature selection. The feature selection in this research used the Dominant Weight feature for the Shahada voice, which produced frames and cepstral coefficients as the feature extraction ...
Heriyanto Heriyanto, Dyah Ayu Irawati
openaire   +2 more sources

PEMODELAN SPEECH RECOGNITION SPEECH-TO-TEXT DALAM BAHASA INDONESIA MENGGUNAKAN MEL FREQUENCY CEPSTRAL COEFFICIENTS (MFCC) DAN HIDDEN MARKOV MODEL (HMM) Speech Recognition Modeling Speech-to-Text in Bahasa Using Mel Frequency Cepstral Coefficients (MFCC) a [PDF]

, 2013
ABSTRAKSI: Speech recognition merupakan salah satu teknologi yang mempermudah pekerjaan manusia dalam berinteraksi dengan komputer. Oleh karena itu, penelitian mengenai speech recognition merupakan kunci pengembangan teknologi tersebut.
SITI KHODIJAH F N F
core  

Passive Acoustic Identification of Social Groups in the Hainan Gibbon

Remote Sensing in Ecology and Conservation, EarlyView.
Passive acoustic monitoring offers a non‐invasive means of assessing visually hard‐to‐survey wildlife species with distinctive vocalizations. We evaluated whether deep learning can identify Hainan gibbon (Nomascus hainanus) social groups from their calls.
Emmanuel Kabuga, Emmanuel Dufourq, Nonhlanhla L. Luphade, Samuel T. Turvey, Heidi Ma, Susan M. Cheyne, Hui Liu, Jessica V. Bryant, Qing Chen, Wenyong Li, Zhiwei Liu, Zhaoli Zhou, Stefan Britz, Bubacarr Bah, Ian Durbach   +14 more
wiley   +1 more source

Widespread Bomb Fishing in Indo‐Pacific Archipelago Revealed Through Machine Learning Accelerated Passive Acoustic Monitoring

Remote Sensing in Ecology and Conservation, EarlyView.
AI‐accelerated passive acoustic monitoring reveals extensive bomb fishing within the Spermonde Archipelago, with annual incidents numbering in the thousands. ABSTRACT Bomb fishing is recognised as the most destructive fishing practice that can be performed in our oceans.
Ben Williams, Mars Coral Restoration Project Monitoring Team, Aimee du Luart, Sonny Burniston, Tries B. Razak, Timothy A. C. Lamont, David J. Smith, Jamaluddin Jompa, David Curnick, Kate E. Jones   +9 more
wiley   +1 more source

Speech Emotion Recognition Method Based on Multiple Kernel Learning Feature Fusion [PDF]

Jisuanji gongcheng, 2019
Extracting the Mel-Frequency Cepstral Coefficients(MFCC) in speech emotion recognition will lose the spectral feature information,resulting in a low accuracy of emotion recognition.Therefore,a speech emotion recognition method combining MFCC and ...
WANG Zhongmin, LIU Ge, SONG Hui
doaj   +1 more source

Robust Speaker Recognition Using Perceptual Stationary Wavelet Coefficients and Prosodic Feature in Noisy Conditions

IEEE Access
Wavelet-based front-ends have been extensively utilized in speech processing systems, particularly for recognizing speech and speakers, and have significantly improved their performance.
Ibrahim Missaoui, Zied Lachiri
doaj   +1 more source

A Comparison Study to Identify Birds Species Based on Bird Song Signals

ITM Web of Conferences, 2017
this paper presents a comparison study in automatically identifying bird species based on bird acoustic signals, using audio files from XENO-CANTO online database.
Guo Xin, Liu Qing-Zhong
doaj   +1 more source