Results 31 to 40 of about 3,484 (180)

Speech Emotion Recognition Using Cepstral Features Extracted With Gammatone Filter Banks Realized Based on ERB and Mel Frequency Scales

IEEE Access
Speech emotion recognition (SER) involves identifying a speaker’s emotional state from their speech utterance. Prior research has explored various cepstral features for developing SER systems. Among these, Mel-frequency cepstral coefficients (MFCC)
Nagarajan Sugan, Lakshmi Sutha Kumar, Nettimi Satya Sai Srinivas   +2 more
doaj   +1 more source

Automatic Cough Detection from Audio Signals Using Deep Learning and Hybrid CNN–SVM Models [PDF]

EPJ Web of Conferences
Coughing is a natural physiological reflex that helps maintain respiratory health by clearing the airways of irritants, fluids, and pathogens. It also serves as a key clinical indicator for various respiratory conditions, including asthma, infections ...
Barkani Fatima, Hamidi Mohamed, Satori Hassan   +2 more
doaj   +1 more source

Ion‐Gating Reservoir Computing for Preprocessing‐Free Speech Recognition from Throat Vibrations

Advanced Electronic Materials, EarlyView.
This work presents a throat‐mounted mechanoelectric sensor integrated with an ion‐gel/graphene reservoir device for on‐device speech recognition. The system converts raw biomechanical vibrations into rich nonlinear current dynamics, enabling efficient classification through a simple linear readout. The approach highlights a compact and tunable physical‐
Daiki Nishioka, Akito Tateyama, Hina Kitano, Takashi Nakanishi, Kazuya Terabe, Takashi Tsuchiya   +5 more
wiley   +1 more source

Mel Frequency Cepstral Coefficient: A Review [PDF]

Proceedings of the 2nd International Conference on ICT for Digital, Smart, and Sustainable Development, ICIDSSD 2020, 27-28 February 2020, Jamia Hamdard, New Delhi, India, 2021
Shalbbya Ali, Safdar Tanweer, Syed Khalid, Naseem Rao   +3 more
openaire   +1 more source

Speech-Based Vehicle Movement Control Solution

Journal of Telecommunications and Information Technology, 2021
The article describes a speech-based robotic prototype designed to aid the movement of elderly or handicapped individuals. Mel frequency cepstral coefficients (MFCC) are used for the extraction of speech features and a deep belief network (DBN) is ...
Gurpreet Kaur, Mohit Srivastava, Amod Kumar   +2 more
doaj   +1 more source

Soft Active Electromyography Interface for Machine Learning‐Enabled Silent Speech Recognition

Advanced Intelligent Systems, EarlyView.
A soft, hand‐worn electromyography interface enables intent‐driven silent speech recognition without continuous facial attachment. The device integrates liquid‐metal interconnects, a transparent flexible circuit, and elastomer encapsulation with a fingertip electrode that contacts perioral muscles only on demand.
Yuta Kurotaki, Shusuke Yamakoshi, Reitaro Yoshida, Yutaka Isoda, Tamami Takano, Yuji Isano, Yusuke Miyake, Kentaro Kuribayashi, Hiroki Ota   +8 more
wiley   +1 more source

Voice authentication module using mel-cepstral coefficients

Вестник Дагестанского государственного технического университета: Технические науки
Objective. The purpose of the study is to develop and apply a method for extracting information about the identity of users from recordings of their voices using the calculation of mel-cepstral coefficients.Method.
D. A. Elizarov, P. A. Ashaeva, E. A. Stepanova   +2 more
doaj   +1 more source

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

Hardware Accelerator Design of DCT Algorithm With Unique-Group Cosine Coefficients for Mel-Scale Frequency Cepstral Coefficients

IEEE Access, 2022
This study presents a compact $L$ -points discrete cosine transform (DCT) hardware accelerator for $M$ -points Mel-scale Frequency Cepstral Coefficients (MFCC).
Shin-Chi Lai, Ying-Hsiu Hung, Yi-Chang Zhu, Szu-Ting Wang, Qi-Xian Huang, Ming-Hwa Sheu, Wen-Ho Juang   +6 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