An efficient adaptive artificial neural network based text to speech synthesizer for Hindi language
暂无分享,去创建一个
[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).