Polarization Engineering in Vinylene‐Linked COFs Toward Efficient Neuromorphic Computing [PDF]
A vinyl‐linked covalent organic framework (COF‐DIBPY) was synthesized on a conductive substrate for memristor applications. Redox reactions and bromide migration enable low‐voltage (0.5V) conductance switching with high analog on/off ratio (15.7). The device was further integrated into a speech emotion recognition system for acoustic simulation and ...
Hao Wang +5 more
wiley +2 more sources
The Capacity Of Mel Frequency Cepstral Coefficients For Speech Recognition
Speech recognition is of an important contribution in promoting new technologies in human computer interaction. Today, there is a growing need to employ speech technology in daily life and business activities. However, speech recognition is a challenging task that requires different stages before obtaining the desired output.
Al-Anzi, Fawaz S., Dia AbuZeina
openaire +3 more sources
Musical instrument identification using multiscale Mel-frequency cepstral coefficients. [PDF]
We investigate the benefits of evaluating Mel-frequency cepstral coefficients (MFCCs) over several time scalesin the context of automatic musical instrument identificationfor signals that are monophonic but derived from real musical settings.We define several sets of features derived from MFCCs computed using multiple time resolutions,and compare their
Sturm, Bob L. +2 more
openaire +3 more sources
Fusion of Linear and Mel Frequency Cepstral Coefficients for Automatic Classification of Reptiles
Bioacoustic research of reptile calls and vocalizations has been limited due to the general consideration that they are voiceless.
Juan J. Noda +2 more
doaj +2 more sources
The Use of Mel-frequency Cepstral Coefficients in Musical Instrument Identification.
This paper examines the use of Mel-frequency Cepstral Coefficients in the classification of musical instruments. 2004 piano, violin and flute samples are analysed to get their coefficients. These coefficients are reduced using principal component analysis and used to train a multi-layered perceptron.
Loughran, Róisín +3 more
openaire +3 more sources
Analysis of COVID-19 Heavy Cough Sounds Using Bark Wavelet Cepstral Coefficients [PDF]
Coronavirus is known as COVID-19. It spreads in all over the world as pandemic. Until writing this paper, 164.5 million person worldwide is affected with this disease. Over 3.4 million people are died due to that disease.
Mohamed Azmy
doaj +1 more source
MEL frequency cepstral coefficients (MFCC) of original speakers and their imitators
The results of intra- and interspeaker distances between MFCC vectors obtained from speech samples of eight well-known Polish personalities and their imitations performed by cabaret entertainers are presented and discussed.
W. Majewski
doaj +1 more source
Combination of VMD Mapping MFCC and LSTM: A New Acoustic Fault Diagnosis Method of Diesel Engine
Diesel engines have a wide range of functions in the industrial and military fields. An urgent problem to be solved is how to diagnose and identify their faults effectively and timely.
Hao Yan +5 more
doaj +1 more source
Penerapan Metode Mel Frequency Cepstral Coefficients pada Sistem Pengenalan Suara Berbasis Desktop [PDF]
Teknologi biometrik sedang menjadi tren teknologi dalam berbagai bidang kehidupan. Teknologi biometrik memanfaatkan bagian tubuh manusia sebagai alat ukur sistem yang memiliki keunikan disetiap individu. Suara merupakan bagian tubuh manusia yang memiliki
Islamuddin, Nur +2 more
core +1 more source
Automatic Speaker Recognition Using Mel-Frequency Cepstral Coefficients Through Machine Learning
: Automatic speaker recognition (ASR) systems are the field of Human-machine interaction and scientists have been using feature extraction and feature matching methods to analyze and synthesize these signals.
Ugur Ayvaz +5 more
semanticscholar +1 more source

