封面图片

Understanding the Use of Acoustic Measurement and Mel Frequency Cepstral Coefficient (MFCC) Features for the Classification of Depression Speech

Depression has been affecting people all around the world, including Malaysians. Early detection mechanisms are vital for assisting clinical professionals in identifying depressed patients at an early stage. Although this can be accomplished through interviews and questionnaires, the time-consuming...

Saved in:

书目详细资料
Main Authors:	Shanmugam M., Ismail N.N.N., Magalingam P., Hashim N.N.W.N., Singh D.
其他作者:	36195134500
格式:	Book chapter
出版:	Springer Science and Business Media Deutschland GmbH 2024
主题:	Acoustic measurement Depression Malay language Mel frequency cepstral coefficient (MFCC) Support vector machine (SVM)
标签:	添加标签没有标签, 成为第一个标记此记录!

相似书籍

Simulink model of Mel Frequency Cepstral Coefficient analysis for extracting asphyxiated infant cry features
由: Mohebbi Zulfikar, Mohd Ali, et al.
出版: (2012)

Speech recognition using MFCC and DTW classifier
由: Mukrimah, Nawir
出版: (2016)

Classification of speech dysfluencies with MFCC and LPCC features
由: Ooi, Chia Ai, et al.
出版: (2011)

MFCC in audio signal processing for voice disorder: a review
由: Sidhu M.S., et al.
出版: (2025)

Infant cry recognition system: A comparison of system performance based on Mel frequency and linear prediction cepstral coefficients
由: Abdulaziz Y., et al.
出版: (2023)

MFCC based recognition of repetitions and prolongations in stuttered speech using k-NN and LDA
由: Lim, Sin Chee, et al.
出版: (2010)

Comparison of speech parameterization techniques for the classification of speech disfluencies
由: Chong, Yen Fook, et al.
出版: (2014)

Respiratory sound classification using cepstral features and support vector machine
由: Palaniappan, Rajkumar, et al.
出版: (2014)

DWT and MFCC based human emotional speech classification using LDA
由: Murugappan, Muthusamy, Dr., et al.
出版: (2012)

Human activities classification based on ?-OTDR system by utilizing gammatone filter cepstrum coefficient envelope using support vector machine
由: Saleh N.L., et al.
出版: (2024)

Speech emotion recognition using kNN classifier
由: M. N., Hasrul, et al.
出版: (2013)

Improving event classification using Gammatone Filter for distributed acoustic sensing
由: B., Faisal, et al.
出版: (2022)

Feature space reduction in ethnically diverse Malaysian English accents classification
由: Yusnita, Mohd Ali, et al.
出版: (2014)

A comparative study of the difference between MFCC and PLP in the recognition of sound
由: Sabur A. Alim, et al.
出版: (2012)

Opinion mining of movie review using hybrid method of support vector machine and particle swarm optimization
由: Abd. Samad Hasan, Basari, et al.
出版: (2013)

Evaluating endpoint detection algorithms for isolated word from Malay parliamentary speech
由: Seman N., et al.
出版: (2023)

Mel Frequency Cepstral Coefficient (MFCC) extraction for speaker identification on FPGA
由: Phak Len, Eh Kan, et al.
出版: (2009)

Fault detection of bearing using advanced artificial interlligence
由: Danial Danish Bin Mustaffa Kamal
出版: (2023)

Classification of vowel sounds using MFCC and feed forward neural network
由: Paulraj, Murugesa Pandiyan, Prof. Madya, et al.
出版: (2010)

Development of a rapid and accurate system to differentiate Malaysian honey samples using UV and color image
由: Abd Alazeez, Almaleeh
出版: (2016)

Diagnosis of voices disorders using MEL scaled WPT and functional link neural network
由: Paulraj, Muregesa Pandiyan, Prof. Madya Dr., et al.
出版: (2011)

An accurate infant cry classification system based on continuos hidden Markov model
由: Abdulaziz Y., et al.
出版: (2023)

Parallel execution of distributed SVM using MPI (CoDLib)
由: Salleh N.S.M., et al.
出版: (2023)

Crime detection with DCT and artificial intelligent approach
由: Ahmad Kadri, Junoh, et al.
出版: (2014)

Signature verification and recognition by using support vector machine
由: Aida Nurfarhana, Saidin
出版: (2016)

Identification of vocal fold pathology based on Mel Frequency Band Energy Coefficients and singular value decomposition
由: Hariharan, Muthusamy, et al.
出版: (2010)

Voice Recognition Algorithms using Mel Frequency Cepstral Coefficient (MFCC) and Dynamic Time Warping (DTW) Techniques
由: Muda, Lindasalwa, et al.
出版: (2010)

Statistik Sosial Perhubungan dan Rekreasi : Bilangan Mel yang Dikendalikan Mengikut Lapangan Terbang, Malaysia, 2017
由: Malaysia, Jabatan Perangkaan
出版: (2019)

Statistik Sosial Perhubungan dan Rekreasi : Bilangan Mel yang Dikendalikan Mengikut Lapangan Terbang, Malaysia, 2016
由: Malaysia, Jabatan Perangkaan
出版: (2019)

Statistik Sosial Perhubungan dan Rekreasi : Bilangan Mel yang Dikendalikan Mengikut Lapangan Terbang, Malaysia, 2015
由: Malaysia, Jabatan Perangkaan
出版: (2019)

Development of classification methods for wheeze and crackle using mel frequency cepstral coefficient (MFCC): a deep learning approach
由: Mohamed Sadi, Tinir, et al.
出版: (2020)

Akaun e-mel peribadi setiap rakyat
由: Rajagopal, Magendran, et al.
出版: (2011)

Classification of speech dysfluencies using LPC based parameterization techniques
由: Hariharan, Muthusamy, et al.
出版: (2011)

Comparison of LPCC and MFCC for isolated Malay speech recognition
由: Chong x, Chong Yen Fook, et al.
出版: (2013)

The design and analysis of high Q factor film bulk acoustic wave resonator for filter in super high frequency
由: N.I.M., Nor, et al.
出版: (2022)

Malay speech recognition in normal and noise condition
由: Fook, C. Y., et al.
出版: (2013)

EEG emotion recognition using features of Mel Frequency Cepstral Coefficients
由: Othman, Marini, et al.
出版: (2011)

Lightning Fault Classification for Transmission Line Using Support Vector Machine
由: Asman S.H., et al.
出版: (2024)

Support vector machines study on english isolated-word-error classification and regression
由: Hasan A.B., et al.
出版: (2023)

Early predictionof cardiovascular diseases using ECG signal: A review
由: Nurul Hikmah, Kamaruddin, et al.
出版: (2013)