Results 91 to 100 of about 4,142,577 (212)
On Compensating the Mel-Frequency Cepstral Coefficients
This paper describes a novel noise-robust automatic speech recognition (ASR) front-end that employs a combination of Mel-filterbank output compensation and cumulative distribution mapping of cepstral coefficients with truncated Gaussian distribution ...
For Noisy Speech, Eric H. C. Choi
core
Dysphonia Detection based on modulation spectral features and cepstral coefficients [PDF]
In this paper, we combine modulation spectral features with mel-frequency cepstral coefficients for automatic detection of dysphonia. For classification purposes, dimensions of the original modulation spectra are reduced using higher order singular value
Arias-Londoño, Julián David +3 more
core
Background: Special consideration has recently been given to cepstral analysis with mel-frequency cepstral coefficients (MFCCs). The aim of this study was to assess the applicability of MFCCs in acoustic analysis for diagnosing occupational dysphonia in ...
Ewa Niebudek-Bogusz +3 more
doaj +1 more source
Identification of voice signals can be used to command a computer system. Identification can be made of voice owner and spoken word. Identification of voice owner is used for security, while spoken word identification is often used to execute command on ...
Munggaran, Angga Kersana +2 more
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Voice source characteristics in different phonation types vary due to the tension of laryngeal muscles along with the respiratory effort. This study investigates the use of mel-frequency cepstral coefficients (MFCCs) derived from voice source waveforms ...
Kadiri, Sudarsana Reddy +3 more
core +1 more source
The effectiveness of higher-order spectral (HOS) phase features in speaker recognition is investigated by comparison with Mel Cepstral features on the same speech data.
Sridharan, Subramanian +5 more
core +1 more source
Применение mel-кепстрального метода для идентификации акустических сигналов БПЛА [PDF]
This report describes the work of calculating the Mel-Frequency Cepstral Coefficients (MFCC). Measurements of characteristics were performed on a real model.
Калиновский, Р. В.
core
Implementation of Mel-Frequency Cepstral Coefficient As Feature Extraction Method On Speech Audio Data [PDF]
Sounds cannot be directly processed by machines without a feature extraction process being carried out first. Currently, there are so many choices of feature extraction methods that can be used, so determining the right feature extraction method is not ...
Kodong, Frans Richard +2 more
core +1 more source
Raga Identification Using Mel Frequency Cepstral Coefficient
Kavita. S. Patil +2 more
openaire +1 more source
Klasifikasi jenis suara manusia menggunakan algoritma Convolutional Neural Network dengan metode ekstraksi Mel-Frequency Cepstral Coefficients [PDF]
Deteksi jenis suara manusia dalam konteks paduan suara sebagai penggunaan media pembelajaran dengan menggunakan CNN dan MFCC. Penelitian ini bertujuan untuk mengklasifikasi jenis suara manusia sehingga terbaginya ke 4 label yaitu sopran, alto, tenor, dan
Fatah, Muhammad Reza Abdul
core +1 more source

