Results 31 to 40 of about 3,875,284 (170)

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

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

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

Fuzzy Logic System for Abnormal Audio Event Detection Using Mel Frequency Cepstral Coefficients

, 2017
This paper presents a fuzzy logic system for audio event detection using mel frequency cepstral coefficients (MFCC). Twelve MFCC of audio samples were analyzed. The range of values of MFCC were obtained including its histogram.
Dadula, Cristina P., Dadios, Elmer P., Elmer P. Dadios, null null, Cristina P. Dadula   +4 more
core   +2 more sources

Blind Source Separation via Time‐Frequency Localization on Sound Spectrogram for Environmental Sound Source Attribution

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT As urban sound environments grow more complex, environmental monitoring increasingly demands not just sound‐level measurement but also source attribution. Current source recognition techniques can identify which sources are present in a mixture, but cannot measure each source's energy contribution, making accountability impossible.
Rui Hu, Zhihao Wu, Yuxin Lin, Yong Xu
wiley   +1 more source

Hyperbolically-Warped Cepstral Coefficients for Improved Micro-Doppler Classification

, 2016
Mel-frequency cepstrum coefficients (MFCC) have been used in many recent works as features for micro-Doppler classification. Originally proposed as features for speech recognition, the filter bank applied as part of the computation of the MFCC is ...
Gurbuz, Sevgi Zubeyde, Erol, Baris
core   +1 more source

Combining Voiceprint Feature Extraction With Deep Learning Based Classifiers for Early Chronic Obstructive Pulmonary Disease Screening

Vector: The Journal of Engineering, Volume 2027, Issue 1, January/December 2027.
Graphic Abstract (GA) presents an overview of the CNN‐based classification process, which consists of several convolutional layers, several pooling layers, and a classification layer. Multilayer CNNs are capable of automatic feature enhancement, denoising, feature extraction, and pattern recognition tasks, and they have been applied in automatic ...
Pi‐Yun Chen, Can‐Xiang Wang, Neng‐Sheng Pai, Yu‐En Cheng, Chun‐Yu Lin, Chien‐Ming Li, Chia‐Hung Lin   +6 more
wiley   +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

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