Results 231 to 240 of about 25,464 (256)

A comparative between Mel Frequency Cepstral Coefficients (MFCC) and Inverse Mel Frequency Cepstral Coefficients (IMFCC) features for an Automatic Bird Species Recognition System

2018 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2018
In this paper a comparative between Mel Frequency Cepstral Coefficients (MFCC) and Inverse Mel Frequency Cepstral Coefficients (IMFCC) features for an automatic bird species recognition system is proposed with the aim to validate IMFCC as a feature that can also be extracted for bird species recognition.
Ángel David Pedroza Ramírez, José Ismael de la Rosa Vargas, Rogelio Rosas Valdez, Aldonso Becerra   +3 more
openaire   +1 more source

Encrypted Domain Mel-Frequency Cepstral Coefficient and Fragile Audio Watermarking

2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE), 2018
Audio has become increasingly important in modern social communication and mobile Internet, e.g., the employment of voice messaging in mobile social Apps. In the scenario of cloud computing, we need to consider the privacy protection of the audio content and the integrity of the audio simultaneously.
Jian Chen, Ziyang Chen, Peijia Zheng, Jianting Guo, Wei Zhang 0016, Jiwu Huang   +5 more
openaire   +2 more sources

Emotion recognition using Lyapunov exponent of the Mel-frequency energy bands

Proceedings of the 2014 6th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), 2014
This paper presents a method for emotion recognition by using LLE - Largest Lyapunov exponent of the Mel-frequency energy bands for the Romanian language. The emotion recognition for features vectors that contains LLE is better using Support Vector Machine - SVM classifier (76.4%) than Weighted K-Nearest Neighbors - WKNN classifier (72.8%).
Monica Feraru, Marius-Dan Zbancioc
openaire   +2 more sources

Mel-Frequency Cepstral and Linear Predictive Coefficients

2018
Mel-frequency cepstral coefficients (MFCCs) and linear predictive coefficients (LPCs) are features used to describe sound according to time, frequency, and amplitude. These techniques, which are mainly used in speech analysis, are reviewed step by step for a good understanding and practice.
openaire   +1 more source

Identification of satellite images based on mel frequency cepstral coefficients

2009 International Conference on Computer Engineering & Systems, 2009
MFCC technique is an efficient technique which can be used for speech signals' classification as MFCC can be applied for 1-D signals. This paper suggests a new application for MFCC technique as it can be used for classification of satellite images, which are 2-D objects.
T. M. Talal, Ayman El-Sayed
openaire   +1 more source

Mel Frequency Cepstral Coefficients Based Similar Albanian Phonemes Recognition

2016
In Albanian language there are several phonemes that are similar in pronunciation like /q/ - /c/, /rr/ - /r/, /th/ - /dh/ and /gj/ - /xh/. These phonemes are difficult to distinguish by human ear even for native speaking Albanians from different regions.
Bertan Karahoda, Krenare Pireva, Ali Shariq Imran   +2 more
openaire   +2 more sources

Speaker recognition method based on Mel frequency cepstrum coefficient and inverted Mel frequency cepstrum coefficient

Journal of Computer Applications, 2013
Feng-song HU, Xuan ZHANG
openaire   +1 more source

Improved speech emotion recognition with Mel frequency magnitude coefficient

Applied Acoustics, 2021
A Milton
exaly  

Speech production based on the mel-frequency cepstral coefficients

6th European Conference on Speech Communication and Technology, 1999
Zbynek Tychtl, Josef Psutka
openaire   +2 more sources

Intelligent rolling bearing imbalanced fault diagnosis based on Mel-Frequency Cepstrum Coefficient and Convolutional Neural Networks

Measurement: Journal of the International Measurement Confederation, 2022
Faye Zhang, Mingshun Jiang, Lei Jia
exaly