Results 191 to 200 of about 2,981,759 (215)
Some of the next articles are maybe not open access.
Multiple time resolutions for derivatives of Mel-frequency cepstral coefficients
IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01., 2005Most 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 +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, 2017In 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
2016In 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 +2 more
openaire +1 more source
Speech production based on the mel-frequency cepstral coefficients
6th European Conference on Speech Communication and Technology, 1999Zbynek Tychtl, Josef Psutka
openaire +2 more sources
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
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This article has been retracted.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 +2 more sources
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 +2 more sources
OPTIMIZATION METHOD FOR IMPLEMENTATION OF MEL-FREQUENCY CEPSTRAL COEFFICIENTS
2022TAN LI-LI +3 more
openaire +2 more sources
Retracted: Audio Detection using Mel-frequency Cepstral Coefficients
2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2021Uppu Jithendra +2 more
openaire +1 more source

