activity
20172020
most citedSpeech Emotion Recognition using Support Vector Machine

21 citations · 26 across the 6 of their papers we have counts for

collaborators

11 papers

cs.CR2020

Image Encryption Decryption Using Chaotic Logistic Mapping and DNA Encoding

Sakshi Patel, Bharath K P, Rajesh Kumar Muthu

In this paper we have proposed a method that uses chaotic logistic mapping and DNA encoding to encrypt the image. A 32 bit ASCII private key is used to diffuse the image. The resul…

cs.CV2020

Medical Image Enhancement Using Histogram Processing and Feature Extraction for Cancer Classification

Sakshi Patel, Bharath K P, Rajesh Kumar Muthu

MRI (Magnetic Resonance Imaging) is a technique used to analyze and diagnose the problem defined by images like cancer or tumor in a brain. Physicians require good contrast images…

cs.CV2020

Medicine Strip Identification using 2-D Cepstral Feature Extraction and Multiclass Classification Methods

Anirudh Itagi, Ritam Sil, Saurav Mohapatra +4

Misclassification of medicine is perilous to the health of a patient, more so if the said patient is visually impaired or simply did not recognize the color, shape or type of medic…

cs.SD2020

Performance Analysis of Adaptive Noise Cancellation for Speech Signal

Pratibha Balaji, Shruthi Narayan, Durga Sraddha +3

This paper gives a broader insight on the application of adaptive filter in noise cancellation during various processes where signal is transmitted. Adaptive filtering techniques l…

eess.AS202021 cited

Speech Emotion Recognition using Support Vector Machine

Manas Jain, Shruthi Narayan, Pratibha Balaji +4

In this project, we aim to classify the speech taken as one of the four emotions namely, sadness, anger, fear and happiness. The samples that have been taken to complete this proje…

cs.CV2020

Radial Based Analysis of GRNN in Non-Textured Image Inpainting

Karthik R, Anvita Dwivedi, Haripriya M +2

Image inpainting algorithms are used to restore some damaged or missing information region of an image based on the surrounding information. The method proposed in this paper appli…