Results 31 to 40 of about 3,790,103 (166)

Flow chart showing the procedure for computation of mel-frequency cepstral coefficients.

, 2014
Flow chart showing the procedure for computation of mel-frequency cepstral coefficients.
Chandra Sekhar Seelamantula (531536), P. V. D. S. Sundeep (531535), Rohini Balakrishnan (463161), Samira Agnihotri (531534)   +3 more
core   +1 more source

Ekstraksi Ciri Pelafalan Huruf Hijaiyyah Dengan Metode Mel-Frequency Cepstral Coefficients [PDF]

, 2019
Huruf hijaiyyah merupakan huruf penyusun ayat dalam Al Qur’an. Setiap hurufhijaiyyah memiliki karakteristik pelafalan yang berbeda. Tetapi dalam praktiknya,ketika membaca huruf hijaiyyah terkadang tidak memperhatikan kaidah bacaanmakhorijul huruf ...
INDRAWATY, YOULLIA, LUKMAN, RIZKI, DEWI, IRMA AMELIA   +2 more
core   +1 more source

The Mel-Frequency Cepstral Coefficients In The Context Of Singer Identification.

, 2005
[TODO] Add abstract here.
Annamaria Mesaros, Jaakko Astola
openaire   +3 more sources

The Intelligent Diagnosis of a Hydraulic Plunger Pump Based on the MIGLCC-DLSTM Method Using Sound Signals

Machines
To fully exploit the rich state and fault information embedded in the acoustic signals of a hydraulic plunger pump, this paper proposes an intelligent diagnostic method based on sound signal analysis.
Liqiang Ma, Anqi Jiang, Wanlu Jiang
doaj   +1 more source

Acoustic Classification of Singing Insects Based on MFCC/LFCC Fusion

Applied Sciences, 2019
This work introduces a new approach for automatic identification of crickets, katydids and cicadas analyzing their acoustic signals. We propose the building of a tool to identify this biodiversity.
Juan J. Noda, Carlos M. Travieso-González, David Sánchez-Rodríguez, Jesús B. Alonso-Hernández   +3 more
doaj   +1 more source

Spoken Digit Recognition using the k-Nearest-Neighbor method and Mel Frequency Cepstral Coefficients [PDF]

Informatică economică
This study investigates the utilization of the k-nearest-neighbor algorithm within the framework of machine learning for speech recognition applications. The AudioMNIST dataset is used for performing the evaluations in which the model predicts the spoken
Sorin MURARU, Catalina Lucia COCIANU
doaj   +1 more source

SENTIMENT ANALYSIS ON SPEECH SIGNALS: LEVERAGING MFCC-LSTM TECHNIQUE FOR ENHANCED EMOTIONAL UNDERSTANDING [PDF]

Proceedings on Engineering Sciences
The analysis of emotions expressed in spoken language holds a pivotal role in human communication, artificial intelligence, and human-computer interaction. While emotion recognition in text has seen considerable advancements, recognizing emotional states
Suman Lata , Neha Kishore , Pardeep Sangwan   +2 more
doaj   +1 more source

Towards a Compositional Framework for Describing Human Phenotypes

Advanced Science, EarlyView.
The Phenotype Assembly Method (PhenoAM) decomposes phenotype variables into measurable Features and typed Qualifiers, enabling standardized, machine‐readable Phenome Data Elements (PhenoDEs) that preserve measurement context. Applied in the International Human Phenome Project (IHPP), the framework yields 58 371 PhenoDEs and supports component‐level ...
Wanting Hu, Yunchao Ling, Xinyue Hu, Wei Chen, Rong Zhou, Xinhao Zhuang, Yanfeng Jiang, Jialu Zhao, Xingdong Chen, Jingchun Luo, Li Jin, Guoqing Zhang   +11 more
wiley   +1 more source

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