Results 151 to 160 of about 3,463 (178)

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   +1 more source

Multiple time resolutions for derivatives of Mel-frequency cepstral coefficients

IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01., 2005
Most speech recognition systems are based on Mel-frequency cepstral coefficients and their first- and second-order derivatives. The derivatives are normally approximated by fitting a linear regression line to a fixed-length segment of consecutive frames. The time resolution and smoothness of the estimated derivative depends on the length of the segment.
G. Stemmer, C. Hacker, E. Noth, H. Niemann   +3 more
openaire   +1 more source

Choosing an accurate number of mel frequency cepstral coefficients for audio classification purpose

Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis, 2017
In this paper, we study several audio classification schemes applied on different number of features for multiclass classification with imbalanced datasets. As features, we proposed the liftering Mel frequency cepstral coefficients, while for classification we use probabilistic methods, instance-based learning algorithms, support vector machines ...
Lacrimioara Grama, Corneliu Rusu
openaire   +1 more source

Phase Based Mel Frequency Cepstral Coefficients for Speaker Identification

2016
In this paper new Phase based Mel frequency Cepstral Coefficient (PMFCC) are used for speaker identification. GMM with VQ are used as a classifier for classification of speakers. The identification performance of proposed features is compared with identification performance of MFCC features and phase features. The performance of PMFCC features has been
Sumit Srivastava, Mahesh Chandra, G. Sahoo   +2 more
openaire   +1 more source

RETRACTED: Breathing site classification via joint mel frequency cepstral coefficients and gammatone frequency cepstral coefficients approach

Journal of Intelligent & Fuzzy Systems
This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Zhang, Jiarui, Ling, Bingo Wing-Kuen
openaire   +1 more source

Interpreting mel frequency cepstral coefficients for frication on the Turkish rhotic

Canonically, the “r” in Turkish is produced as an alveolar tap; however, word-finally, this tap has been described as devoiced and fricated. Previous work found that mel frequency cepstral coefficients (MFCCs) show spectral differences between canonical and fricated taps in Turkish.
Miklas, Janalyn, Kelley, Matthew C.
openaire   +1 more source

Speech production based on the mel-frequency cepstral coefficients

6th European Conference on Speech Communication and Technology, 1999
Zbynek Tychtl, Josef Psutka
openaire   +1 more source

Feasibility of Applying Mel-Frequency Cepstral Coefficients in a Drive-by Damage Detection Methodology for High-Speed Railway Bridges

Sustainability, 2022
Diogo Ribeiro, Hermes Carvalho, Edson Florentino De Souza   +2 more
exaly  

Drive-by bridge damage detection using Mel-frequency cepstral coefficients and support vector machine

Structural Health Monitoring, 2023
Weiwei Lin, Zhenkun Li, Youqi Zhang
exaly  

Mel Frequency Cepstral Coefficients and Support Vector Machines for Cough Detection

2023
Mpho Mashika, Dustin van der Haar
openaire   +1 more source