Welcome![Sign In][Sign Up]
Location:
Search - phoneme speech recognition

Search list

[Speech/Voice recognition/combinesmc_speech

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.
Platform: | Size: 723671 | Author: 付诗 | Hits:

[Speech/Voice recognition/combinesmc_speech

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: | Size: 722944 | Author: 付诗 | Hits:

[assembly languageSpeakerindependentspeechrecognitionsystem

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 | Hits:

[Speech/Voice recognition/combineasr2000

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 | Hits:

[Speech/Voice recognition/combineF2_6764

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 | Hits:

[Speech/Voice recognition/combinemonophone

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 | Hits:

[OtherDesign-of-Speech-Recognition-System

Description: 中文语音识别论文,对于中文拼音音素识别的学习有较大帮助!-Chinese speech recognition papers, phoneme recognition for learning Chinese pinyin great help!
Platform: | Size: 899072 | Author: | Hits:

CodeBus www.codebus.net