FDBN: Design and development of Fractional Deep Belief Networks for speaker emotion recognition

No abstract is available for this paper.

• Publication year

  2016

• Venue

  International Journal of Speech Technology

• Publication date

  2016-09-30

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1007/s10772-016-9368-y
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Speaker-sensitive emotion recognition via ranking: Studies on acted and spontaneous speech

  2015cited by this paper
• Speech Emotion Recognition Using Fourier Parameters

  2015cited by this paper
• SVM based speaker emotion recognition in continuous scale

  2015cited by this paper
• Speech emotion recognition using amplitude modulation parameters and a combined feature selection procedure

  2014cited by this paper
• Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks

  2014cited by this paper
• Features and classifiers for emotion recognition from speech: a survey from 2000 to 2011

  2012cited by this paper
• An Introduction to Audio Content Analysis: Applications in Signal Processing and Music Informatics

  2012cited by this paper
• Spoken emotion recognition using hierarchical classifiers

  2011influential reference
• Survey on speech emotion recognition: Features, classification schemes, and databases

  2011cited by this paper
• Particle swarm optimization with fractional-order velocity

  2010cited by this paper
• On assisting a visual-facial affect recognition system with keyboard-stroke pattern information

  2010cited by this paper
• Feature Analysis and Evaluation for Automatic Emotion Identification in Speech

  2010cited by this paper
• Deep Belief Networks

  2010cited by this paper
• Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations

  2009cited by this paper
• Improved Emotion Recognition With a Novel Speaker-Independent Feature

  2009cited by this paper
• Modeling naturalistic affective states via facial and vocal expressions recognition

  2006cited by this paper
• Chroma-based estimation of musical key from audio-signal analysis

  2006influential reference
• A Fast Learning Algorithm for Deep Belief Nets

  2006cited by this paper
• Mel-frequency cepstral coefficient analysis in speech recognition

  2006cited by this paper
• Feature analysis of pathological speech signals using local discriminant bases technique

  2005cited by this paper
• Audio Signal Classification

  2000cited by this paper
• VOCAL MEASUREMENT OF EMOTION

  1989cited by this paper

• Facial Recognition Using Hog Algorithm and Svm Classifier

  2025cites this paper
• Clustering based emotional speech recognition using fuzzy and K-means for tamil language

  2024cites this paper
• What Influence Does the Type of Extracted Audio Features Have on Emotional States?

  2024cites this paper
• Research on the mechanism of motor muscle control based on optical EEG images.

  2024cites this paper
• Classification of EEG Signals Based on Sparrow Search Algorithm-Deep Belief Network for Brain-Computer Interface

  2023cites this paper
• Trends in speech emotion recognition: a comprehensive survey

  2023cites this paper
• Deep ganitrus algorithm for speech emotion recognition

  2022influential citation
• Speech recognition using Taylor-gradient Descent political optimization based Deep residual network

  2022cites this paper
• Performance Comparison of Deep Learning Algorithm for Speech Emotion Recognition

  2022cites this paper
• Renyi entropy and deep learning-based approach for accent classification

  2021cites this paper
• Deep learning approaches for speech emotion recognition: state of the art and research challenges

  2021cites this paper
• An Analysis of Emotional Speech Recognition for Tamil Language Using Deep Learning Gate Recurrent Unit

  2021cites this paper
• Speech Emotion Recognition Using Deep Learning LSTM for Tamil Language

  2021cites this paper
• Enhanced Deep Hierarchical Long Short-Term Memory and Bidirectional Long Short-Term Memory for Tamil Emotional Speech Recognition using Data Augmentation and Spatial Features

  2021cites this paper
• Enhanced Facial Emotion Recognition by Optimal Descriptor Selection with Neural Network

  2021cites this paper
• Taylor-DBN: A new framework for speech recognition systems

  2020cites this paper
• Emotion recognition of speech signal using Taylor series and deep belief network based classification

  2020cites this paper
• Speaker Identification in Different Emotional States in Arabic and English

  2020cites this paper
• Behavioral feature recognition of multi-task compressed sensing with fusion relevance in the Internet of Things environment

  2020cites this paper
• Emotion Recognition Using Knn

  2020cites this paper
• Automatic Answer Script Evaluator

  2020cites this paper
• Emotion Recognition System for Specially Needed People with Optimized Deep Learning Algorithm

  2020cites this paper
• Classification Of Dress Codes Using Convolution Neural Networks

  2020cites this paper
• Speaker Identification in Different Emotional States

  2020cites this paper
• A stuttered speech self-repair system using Mel-filter and Lasso regression machine learning technique

  2020cites this paper
• Sound Source Localization Using 3D Microphone Array

  2020cites this paper
• EmotionC: A Novel Framework for Emotion Detection Using Personalized Search Engine

  2020cites this paper
• Verification/Identification Of Speaker In Variable Health Conditions

  2019cites this paper
• Copy and Move Detection in Audio Recordings using Dynamic Time Warping Algorithm

  2019cites this paper
• A robust face emotion recognition approach through optimized SIFT features and adaptive deep belief neural network

  2019cites this paper
• Emotion recognition in speech signals using optimization based multi-SVNN classifier

  2018cites this paper
• Speech Emotion Recognition In Marathi Language Using Deep Belief Network For Robotics Application

  2018cites this paper