[PDF] Top 20 Speech/Music Classification using SVM
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Speech/Music Classification using SVM
... Where h(m) = w2(m). The term h(m) is interpreted as the impulse response of a linear filter. The choice of the impulse response, h(n)determines the nature of the short time energy representation. Short time energy of the ... See full document
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Improvement of Speech/Music Classification for 3GPP EVS Based on LSTM
... Speech/music classification algorithms are an important component of variable rate speech coding and coverage of communication bandwidth, and provide effective means for enhancing the capacity ... See full document
7
Speech/music Change Point Detection using Sonogram and SVM
... for speech/music classification, indexing and retrieval usually take segmented audios rather than raw audio data as ...between speech and music changes in audio ... See full document
5
Speech emotion classification using SVM and MLP on prosodic and voice quality features
... The classification-based approach focuses on selecting and designing classifiers that can determine the actual mapping between different emotions ...appropriate classification algorithms is the most ... See full document
7
A Decision-Tree-Based Algorithm for Speech/Music Classification and Segmentation
... 1.1. Former Studies. The topic of speech/music classification was studied by many researchers. Table 1 summarizes some of these studies. It can be seen from the table that, while the applications can ... See full document
14
Speech Emotion Recognition Based on SVM Using MATLAB
... from speech signal is ...from speech signal to analyze the characteristics and behavior of ...the speech signal. Support Vector Machine (SVM) are used for recognition of emotional ...with ... See full document
6
Emotion Recognition in Music Signal using AANN and SVM
... emotional speech data were done using the AANN structure 39L 50N 16N 50N ...emotions using this structure is shown in the Table ...emotions using MFCC features with AANN model (39L 50N 16N 50N ... See full document
8
Automatic Dialect Classification using SVM
... Dialect Classification has attracted researchers in the field of speech signal ...Dialect classification is a substantial tool in speech recognition and has the potential to improve the ... See full document
7
An Improved Sentiment Classification using Lexicon into SVM
... Opinion mining can be divided into two or three parts, while more may be needed for some specific domains given by Balahur et al., 2010. In first steps, the documents are split into sections, such as sentences, and each ... See full document
6
A Novel Music Emotion Classification Method Using SVM
... though music itself contains some expressions of the vocalists, it can manipulate our ...the music is the combination of emotion vocalist tone and Linguistic ...input music files are extracted by ... See full document
8
Audio Classification in Speech and Music: A Comparison between a Statistical and a Neural Approach
... as speech, whereas the black ones show the seg- ments classified as ...worst classification results are obtained in the third music segment, between the minutes 20 and ...of music contain ... See full document
7
Classification of MEG signals using RCSP and SVM
... of SVM modeling is to determine the optimal hyper plane that isolates clusters of vector in such a manner that different categories of target variables are aligned on the different ... See full document
6
Research of Sensor Fault Detection and Diagnosis for EMB System Based on CSA-SVM Model
... of SVM, CSA is used to optimize ...probability. Using CSA randomly generated initial antibodies, and selecting the first N antibody, then decoding it for the kernel and punishment ...correct ... See full document
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EDUCATIONAL MODELLING IN CLOUD COMPUTING USING IMS LEARNING DESIGN
... automatic classification of normal and abnormal images using SVM classifier developed by Daljit Singh [7] proposed a technique for Tumor Detection and Classification using Decision ... See full document
5
Classification of sex chromosomes using SVM classifier
... chromosome classification, The input image of size (517 x 645 pixels) are fed in to the median filter for preprocessing and the output image of preprocessing and enhanced image is given to the segmentation ... See full document
8
IJCSMC, Vol. 8, Issue. 8, August 2019, pg.82 – 86 A DYNAMIC ROI BASED GLAUCOMA DETECTION AND REGION ESTIMATION TECHNIQUE
... A novel method for automated diagnosis of the glaucoma affected and the normal eye is presented [3]. It takes both the texture and higher order spectra characteristics of digital fundus image for the purpose of analysis. ... See full document
5
A NOVEL EARLY WARNING SYSTEM USING FUZZY MULTIPLE ATTRIBUTE DECISION MAKING ALGORITHM AND METEOROLOGICAL DATA
... 5444 The articles were classified by the most used techniques in malware detection as showed in Figure 3. Techniques that have been employed less than three times have been classified in “Others”. It is apparent that ... See full document
20
Support Vector Machine-based Multi-scale Entropy of Curves Recognition for Electrocardiogram Data
... In this study, a dataset from PhysioNet [12] was used to demonstrate the performance of the proposed method. The dataset included two subsets of participants. The first subset was labeled as the regular sinus rhythm R–R ... See full document
8
An Integrated Intrusion Detection System by Combining SVM with AdaBoost
... The SVM is used to construct base classifiers, and the AdaBoost is used for training these learning modules and generating the final intrusion detection model by iterating to update the weight of samples and ... See full document
9
Classification Tuberculosis DNA using LDA-SVM
... for classification of Tuberculosis using Deoxyribo Nucleic Acid (DNA) sequence data from mycobacterium ...is using machine learning algorithm which is Support Vector Machines ...DNA ... See full document
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