In this paper, we develop a speech learning machine by using Neural-Network. The work is based on a previous work of Neural Network, named Net Talk and compare Net Talk model with Hidden Markov Model (HMM). The work presents simulated result for the simulated neural network to mimic the pronunciation of English vocabulary especially the vowel sounds and the silent pronounced letters
The project is an exploration of the field of Artificial Intelligence, especially Artificial Neural ...
Speech coding algorithms are developed and optimised to satisfy many applications ’ specific require...
This contribution describes the programme for one part of theautomatic Text-to-Speech (TTS) synthesi...
Neural Talk is a system developed to convert written text into audible speech. This PC-based system ...
This research was accomplished during my studies at University of Sussex under supervision of Dr Si ...
A neural net based speech synthesis project is discussed. The novelty is that the reproduced speech ...
Modern day technology demands sophisticated technology to give input commands to computational devic...
Speech is the most natural way for humans to communicate, and it is the majority of information that...
Text-to-speech synthesis based on deep neuralnetworks can generate highly humanlike speech,which rev...
Generative probabilistic and neural models of the speech signal are shown to be effective in speech ...
The use of neural networks in speech synthesis has been especially successful in the domain of proso...
This article describes a neural network model that addresses the acquisition of speaking skills by i...
Speech recognition is one of the most important problems in artificial intelligence today. Despite n...
This article describes a neural network model that addresses the acquisition of speaking skills by i...
This paper argues that neural networks are good vehicles for automatic speech recognition not simply...
The project is an exploration of the field of Artificial Intelligence, especially Artificial Neural ...
Speech coding algorithms are developed and optimised to satisfy many applications ’ specific require...
This contribution describes the programme for one part of theautomatic Text-to-Speech (TTS) synthesi...
Neural Talk is a system developed to convert written text into audible speech. This PC-based system ...
This research was accomplished during my studies at University of Sussex under supervision of Dr Si ...
A neural net based speech synthesis project is discussed. The novelty is that the reproduced speech ...
Modern day technology demands sophisticated technology to give input commands to computational devic...
Speech is the most natural way for humans to communicate, and it is the majority of information that...
Text-to-speech synthesis based on deep neuralnetworks can generate highly humanlike speech,which rev...
Generative probabilistic and neural models of the speech signal are shown to be effective in speech ...
The use of neural networks in speech synthesis has been especially successful in the domain of proso...
This article describes a neural network model that addresses the acquisition of speaking skills by i...
Speech recognition is one of the most important problems in artificial intelligence today. Despite n...
This article describes a neural network model that addresses the acquisition of speaking skills by i...
This paper argues that neural networks are good vehicles for automatic speech recognition not simply...
The project is an exploration of the field of Artificial Intelligence, especially Artificial Neural ...
Speech coding algorithms are developed and optimised to satisfy many applications ’ specific require...
This contribution describes the programme for one part of theautomatic Text-to-Speech (TTS) synthesi...
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