An efficient adaptive artificial neural network based text to speech synthesizer for Hindi language

[1]  Seyed Mohammad Mirjalili,et al.  The Ant Lion Optimizer , 2015, Adv. Eng. Softw..

[2]  K Samudravijaya,et al.  Development of Assamese Text-to-speech System using Deep Neural Network , 2019, 2019 National Conference on Communications (NCC).

[3]  G. Bharadwaja Kumar,et al.  A Robust Syllable Centric Pronunciation Model for Tamil Text To Speech Synthesizer , 2019 .

[4]  Mohamed Deriche,et al.  A Hybrid Unsupervised Segmentation Algorithm for Arabic Speech Using Feature Fusion and a Genetic Algorithm (July 2018) , 2018, IEEE Access.

[5]  Muhammad Javed,et al.  Unsupervised Phonetic Segmentation of Classical Arabic Speech Using Forward and Inverse Characteristics of the Vocal Tract , 2020 .

[6]  Yassine Ben Ayed,et al.  Text-to-speech synthesis system with Arabic diacritic recognition system , 2015, Comput. Speech Lang..

[7]  Vinu Sundararaj,et al.  An optimal cluster formation based energy efficient dynamic scheduling hybrid MAC protocol for heavy traffic load in wireless sensor networks , 2018, Comput. Secur..

[8]  T. Shreekanth,et al.  Duration Modelling Using Neural Networks for Hindi TTS System Considering Position of Syllable in a Word , 2015 .

[9]  Vinu Sundararaj,et al.  Optimised denoising scheme via opposition-based self-adaptive learning PSO algorithm for wavelet-based ECG signal noise reduction , 2017 .

[10]  V. Ansal,et al.  ALO-optimized artificial neural network-controlled dynamic voltage restorer for compensation of voltage issues in distribution system , 2019, Soft Computing.

[11]  K. Sreenivasa Rao,et al.  Sentence Based Discourse Classification for Hindi Story Text-to-Speech (TTS) System , 2016, ICON.

[12]  Soumya Priyadarsini Panda,et al.  Automatic speech segmentation in syllable centric speech recognition system , 2016, Int. J. Speech Technol..

[13]  Keikichi Hirose,et al.  Hierarchical stress modeling and generation in mandarin for expressive Text-to-Speech , 2015, Speech Commun..

[14]  G. Ramteke,et al.  Efficient Model for Numerical Text-To-Speech Synthesis System in Marathi, Hindi and English Languages , 2017 .

[15]  T. Nagarajan,et al.  A Multi-level GMM-Based Cross-Lingual Voice Conversion Using Language-Specific Mixture Weights for Polyglot Synthesis , 2015, Circuits, Systems, and Signal Processing.

[16]  K. Sreenivasa Rao,et al.  Prosodic Mapping Using Neural Networks for Emotion Conversion in Hindi Language , 2016, Circuits Syst. Signal Process..

[17]  Anne H. H. Ngu,et al.  Towards Effective Content-Based Music Retrieval With Multiple Acoustic Feature Combination , 2006, IEEE Transactions on Multimedia.

[18]  S. Baulkani,et al.  Geometric structure information based multi-objective function to increase fuzzy clustering performance with artificial and real-life data , 2019, Soft Comput..

[19]  Wei Chen,et al.  Inferring Emphasis for Real Voice Data: An Attentive Multimodal Neural Network Approach , 2020, MMM.

[20]  Utpal Sharma,et al.  Text-to-Speech Synthesis System for Mymensinghiya Dialect of Bangla Language , 2019 .

[21]  Xufang Zhao,et al.  A new hybrid approach for automatic speech signal segmentation using silence signal detection, energy convex hull, and spectral variation , 2008, 2008 Canadian Conference on Electrical and Computer Engineering.

[22]  Vinu Sundararaj,et al.  Optimal Task Assignment in Mobile Cloud Computing by Queue Based Ant-Bee Algorithm , 2018, Wirel. Pers. Commun..

[23]  Oliver Watts,et al.  Syllable-Level Representations of Suprasegmental Features for DNN-Based Text-to-Speech Synthesis , 2016, INTERSPEECH.

[24]  Vinu Sundararaj,et al.  An Efficient Threshold Prediction Scheme for Wavelet Based ECG Signal Noise Reduction Using Variable Step Size Firefly Algorithm , 2016 .

[25]  R RejeeshM.,et al.  Interest point based face recognition using adaptive neuro fuzzy inference system , 2019, Multim. Tools Appl..

[26]  V. Ramu Reddy,et al.  Prosody modeling for syllable based text-to-speech synthesis using feedforward neural networks , 2016, Neurocomputing.

[27]  Hemant A. Patil,et al.  Effectiveness of Teager energy operator for epoch detection from speech signals , 2011, Int. J. Speech Technol..

[28]  Ruchika Kumari,et al.  Labelling of Hindi Speech , 2016 .

[29]  P Thejaswini,et al.  MOTF: Multi-objective Optimal Trilateral Filtering based partial moving frame algorithm for image denoising , 2020, Multim. Tools Appl..

[30]  V. Ramu Reddy,et al.  Two-stage intonation modeling using feedforward neural networks for syllable based text-to-speech synthesis , 2013, Comput. Speech Lang..

[31]  A. P. Sunija,et al.  Performance Analysis of Malayalam Language Speech Emotion Recognition System Using ANN/SVM , 2016 .

[32]  Vinu Sundararaj,et al.  CCGPA‐MPPT: Cauchy preferential crossover‐based global pollination algorithm for MPPT in photovoltaic system , 2020, Progress in Photovoltaics: Research and Applications.

[33]  Prajakta S. Rathod Script to speech conversion for Hindi language by using artificial neural network , 2011, 2011 Nirma University International Conference on Engineering.

[34]  Li Zhang,et al.  Fault feature extraction of low speed roller bearing based on Teager energy operator and CEEMD , 2019, Measurement.

[35]  C. Manoj Kumar,et al.  An Algorithm to Identify Syllable from a Visual Speech Recognition System , 2019, Wirel. Pers. Commun..

[36]  Anil Kumar Sao,et al.  Reducing footprint of unit selection based text-to-speech system using compressed sensing and sparse representation , 2018, Comput. Speech Lang..

[37]  Hema A. Murthy,et al.  Deep Learning Techniques in Tandem with Signal Processing Cues for Phonetic Segmentation for Text to Speech Synthesis in Indian Languages , 2017, INTERSPEECH.

[38]  J. Jayakumari,et al.  Text to speech synthesis system for tamil using HMM , 2017, 2017 IEEE International Conference on Circuits and Systems (ICCS).