Mel-frequency cepstral coefficients

Results 101 to 110 of about 3,610,992 (210)

Voice spoofing detection using a neural networks assembly considering spectrograms and mel frequency cepstral coefficients. [PDF]

PeerJ Comput Sci, 2023
Hernández-Nava CA +5 more
europepmc +1 more source

MEL-FREQUENCY CEPSTRAL COEFFICIENTS (MFCC) FEATURE FOR PUMP ANOMALY DETECTION IN NOISY ENVIRONMENTS

Rekayasa Mesin
The continuity of a production process is supported by the availability of good assets. One of the efforts to support asset availability is through asset maintenance. One of the important assets in the industry is the pump. To detect anomalous conditions
Anindita Adikaputri Vinaya, Tiffani Febiola Aciandra +1 more
doaj +1 more source

Speaker identification using higher order spectral phase features and their effectiveness vis-a-vis Mel-Cepstral features

, 2004
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

Time Series-Based Spoof Speech Detection Using Long Short-Term Memory and Bidirectional Long Short-Term Memory

ARO-The Scientific Journal of Koya University
Detecting fake speech in voice-based authentication systems is crucial for reliability. Traditional methods often struggle because they can't handle the complex patterns over time.
Arsalan R. Mirza, Abdulbasit K. Al-Talabani +1 more
doaj +1 more source

Emotion Recognition of Speech Signals Based on Filter Methods [PDF]

Journal of Intelligent Procedures in Electrical Technology, 2016
Speech is the basic mean of communication among human beings.With the increase of transaction between human and machine, necessity of automatic dialogue and removing human factor has been considered.
Narjes Yazdanian, Hamid Mahmoodian
doaj

PEMODELAN SPEECH RECOGNITION SPEECH-TO-TEXT DALAM BAHASA INDONESIA MENGGUNAKAN MEL FREQUENCY CEPSTRAL COEFFICIENTS (MFCC) DAN HIDDEN MARKOV MODEL (HMM) Speech Recognition Modeling Speech-to-Text in Bahasa Using Mel Frequency Cepstral Coefficients (MFCC) a [PDF]

, 2013
ABSTRAKSI: Speech recognition merupakan salah satu teknologi yang mempermudah pekerjaan manusia dalam berinteraksi dengan komputer. Oleh karena itu, penelitian mengenai speech recognition merupakan kunci pengembangan teknologi tersebut.
SITI KHODIJAH F N F
core

Leveraging MFCC and Mel-Spectrogram Representations for Deep Learning-Based Speech Recognition

Engineering Proceedings
This work propose an audio feature pipeline to support machine learning tasks through the extraction of the Mel Frequency Cepstral Coefficients and Mel-spectrogram which is then used as the input of an Convolutional Neural Network which is trained to ...
Jose Antonio Lopez-Olvera +3 more
doaj +1 more source

A robust deep learning model for fall action detection using healthcare wearable sensors [PDF]

PeerJ Computer Science
The proposed technique begins with Butterworth’s sixth-order filtering of the data followed by segmentation through Hamming window application. The identification of essential patterns is achieved through the utilization of feature extraction methods ...
Abdulwahab Alazeb +6 more
doaj +2 more sources

ECG Biometrics on Mobile Devices: High-Accuracy Authentication Using i-Vectors and Cepstral Coefficients

IEEE Access
In recent years, the growing importance of personal data security has led to a rapid increase in demand for biometric authentication systems. This study proposes a biometric authentication method based on electrocardiogram (ECG) data that holds potential
F. Saba Kockan, Bulent Bolat
doaj +1 more source

Raga Identification Using Mel Frequency Cepstral Coefficient

International Journal of Innovations in Engineering and Science, 2023
Kavita. S. Patil, Pramod J. Deore, V. S. Kharote +2 more
openaire +1 more source

mfcc
mel frequency cepstral coefficients
machine learning

speaker recognition
mel-frequency cepstral coefficients mfcc
speech recognition