Butta Rajasekhar

• Doctor of Philosophy
• Professor (Associate) at Gudlavalleru Engineering College

Effective Alzheimer's disease (AD) treatment is dependent on a timely and precise diagnosis. While ensemble learning (EL) has the potential to increase the efficacy of learning systems, deep learning (DL) has shown promise as a way to diagnose AD at an early stage. This paper proposes a novel DL-based ensemble technique for rapid and precise AD dia...

Nowadays, medical imaging systems tend to have greatest impact on disease identification, diagnosis, and surgical preparation. To save hardware space and transmission bandwidth, it is important to reduce data redundancy in the image. Compressing images is very important for storage and transmitting purposes as it decreases the amount of bits requir...

One of the fastest and the natural mode of communication between humans is speech. Recently in speech signal processing, noncontact clinical issue, patient remote monitoring, and man–machine interaction application; emotion recognition from the speech is becoming a popular topic of research. The basic principle behind speech emotion recognition is...

Nowadays, a great attention is focusing on the study of the emotional content in speech signals since the speech signal is one of the quickest and natural tactic to communicate among humans, and thus, many systems have been suggested to recognize the emotional content of a spoken utterance. This paper schemes two contributions: Gender recognition a...

Wireless Sensor Networks are generally employed for observing and monitoring specific environments. WSNs are made from a huge amount of low-cost sensor nodes separated and distributed in different environments for distributing data through sensor nodes. The collection of data by the various sensors were transmitted into the Base Station. An enhance...

The main design of the present invention discloses the multimodal voice-based framework for security applications, which comprises voice authentication and matcher. The main purpose of the present invention is to predict the authorized user based on their voice without replacing the voice template while aging. Initially, the authorized user store t...

Data clustering is a major research area having diverse applications in certain fields, which involves recognition of patterns, machine learning, and mining massive datasets. Also, it is a process of grouping the data, which are similar to each other. As the clustering issue on numerical databases can be modeled as a major combinatorial optimizatio...

Purpose Nowadays, the speech emotion recognition (SER) model has enhanced as the main research topic in various fields including human–computer interaction as well as speech processing. Generally, it focuses on utilizing the models of machine learning for predicting the exact emotional status from speech. The advanced SER applications go successful...

The present invention discloses an intelligent customer care center system for the customer care center, wherein the system comprises the customer care center, emotion processing system, structuring responses, and three-level management. The system of the present invention evaluates the voice quality of the customer with their emotion by emotion pr...

An RNN based real-time emotion recognition system is implemented on an FPGA. And it describes the RNNs for acoustic modeling and character-level modeling language modeling, and is optimized for real-time operations using unidirectional RNNs. The vocabulary size of the emotions recognition is unlimited so the character-level RNN can be declare out o...

Speech carries vast information about age, gender and the emotional state of the Speaker. Emotion Recognition is a difficult task of identifying a specific emotion from a speaker. In this work the effect of Discrete wavelet Transform (DWT), Cepstrum, Pitch and Mel-Frequency Cepstral Coefficients (MFCC) are considered in the detection of emotions an...

Steganography is the art and science of hiding information in unremarkable cover media so as not to observe any suspicion. It is an application under information security field, being classified under information security, Steganography will be characterized by having set of measures that rely on strengths and counter attacks that are caused by wea...