Description: 《Neural Networks for Text-to-Speech Phoneme Recognition》This paper presents two different artificial neural network approaches for phoneme recognition for text-to-speech applications: Staged Backpropagation Neural Networks and Self-Organizing Maps.- Neural Networks for Text-to-Speech Phoneme Recognition This paper presents two different artificial neural network approaches for phoneme recognition for text-to-speech applications: Staged Backpropagation Neural Networks and Self-Organizing Maps. Platform: |
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Author:付诗 |
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Description: Grapheme-to-Phoneme converter,能够自动将字形词通过训练，转换成音子，对语音识别非常有用处-Grapheme-to-Phoneme converter, able to automatically shape the word, through training, into sub-tone of voice recognition is very useful Platform: |
Size: 96256 |
Author:韩润强 |
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Description: 基于音素识别的非特定人语音识别系统，国外原版论文，经过PDF排版处理-Phoneme recognition based on non-specific human speech recognition system, foreign original papers, after dealing with PDF publishing Platform: |
Size: 506880 |
Author:曾忞 |
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Description: Hidden Markov Models (HMMs) are a popular approach
for speech recognition. Commonly, a left-to-right Markov
chain topology is used, where each phoneme is represented
by a sequence of states (typically three) [ Platform: |
Size: 82944 |
Author:ahmed |
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Description: 端点检测是指用数字处理技术来找出语音信号中的各种段落（如音素、音节、词素、词等）的始点和终点的位置。语音段起止端点检测是语音分析、语音合成和语音识别中的一个必要环节。传统的端点检测方法是从wav文件中获取语音采样，将其分帧并计算短时能量和过零率参数，然后进行端点检测。这种工作方式被称为离线处理方法 ，无法实现语音信号的实时处理，对于语音信号分析具有一定的局限性。本文通过开发ActiveX控件，在MATLAB环境下将其嵌入到figure窗口中，以GUI程序的方式使用，实现语音信号端点检测的实时处理。-Endpoint detection is the use of digital processing techniques to identify the speech signals in a variety of paragraphs (such as phoneme, syllable, morpheme, word, etc.) the starting point and the end position. Speech endpoint detection is a paragraph beginning and end speech analysis, speech synthesis and speech recognition of a necessary link. Traditional endpoint detection method is to obtain from the wav file voice sampling, its sub-frame and calculate the short-term energy and zero-crossing rate parameters, and then proceed to endpoint detection. This work is called off-line approach can not achieve real-time speech signal processing, analysis of the speech signal has a certain limitations. In this paper, through the development of ActiveX controls, in the MATLAB environment to embedded figure window to use GUI program, the realization of speech signal processing real-time endpoint detection. Platform: |
Size: 30720 |
Author:cike |
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Description: 针对语音识别数据准备工作，写了一套自动拆分音节为音素的程序，输入一个带拼音的关键词文件，输出一个将音节翻译为音素组合的文件，方便后期语音识别的音素建模。-Preparations for voice recognition data, write a set of automatically split syllable phoneme procedures the Pinyin input with a keyword file, outputs a syllable translation file of a combination for the phoneme, convenient late phoneme modeling of speech recognition. Platform: |
Size: 1316864 |
Author:bill |
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