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利用SAPI 5.0进行音素分解
- 利用SAPI 5.0进行音素分解图片说明。-use SAPI 5.0 phoneme decomposition caption.
phoneme
- 音素分割.很实用.基于SAPI.肯定不会让大家失望-phoneme segmentation. Practical. Based on SAPI. Definitely not let you down
smc_speech
- 《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 Networ
g2p-r96.tar
- 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
利用SAPI 5.0进行音素分解
- 利用SAPI 5.0进行音素分解图片说明。-use SAPI 5.0 phoneme decomposition caption.
phoneme
- 音素分割.很实用.基于SAPI.肯定不会让大家失望-phoneme segmentation. Practical. Based on SAPI. Definitely not let you down
smc_speech
- 《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 Networ
g2p-r96.tar
- 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
phoneme
- 用于语音信号的基因检测，过零率以及能量计算-Genes for voice signal detection, zero crossing rate and energy calculation
ContextDependentPhonemeModels
- 上下文相关的语音模型建模讲义，对3音素模型需要的人可参看。-Context Dependent Phoneme Models
phoneme_advanced-mr2-dev-src-b97-20_nov_2008
- This is a resource based on j2me embedded,if you dont understand,you can connection with me .
Speakerindependentspeechrecognitionsystem
- 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
asr2000
- 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) [
F2_6764
- 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
speech
- Speech Coding and Phoneme Classification Using MATLAB and NeuralWorks
phoneme_feature-mr4-rel-src-b01-20_apr_2009
- phoneME feature MR4(最新版)源码-phoneME feature MR4 (latest version) source code
cldc_midp_src_from_phoneme
- JAVA实现CLDC与MIDP底层编程的代码21264217收集自Sun官方的开源项目phoneME，J2ME游戏编程时你会用到，你可以由此进一步探讨JavaME在Java底层的实现，可能对新手有些难度。 -JAVA realization of CLDC and the MIDP low-level programming code 21,264,217 collected from Sun' s official open s
newyxu1
- 收集自Sun官方的开源项目phoneME，J2ME游戏编程时你会用到，你可以由此进一步探讨JavaME在Java底层的实现，可能对新手有些难度。 -Collected from Sun' s official open source project phoneME, J2ME game programming you will use, you can further explore this JavaME the botto
Classification-base-on-phoneme
- 音素辨识病态嗓音的界面，包括患者病例生成、录音、特征提取、模式识别等。-Phoneme recognition pathological voice interface, including patient case generation, recording, feature extraction, pattern recognition and so on.
phoneme-confusion
- phoneme confusion paper pdf