model speech
英 [ˈmɒdl spiːtʃ]
美 [ˈmɑːdl spiːtʃ]
【计】模式语言
双语例句
- Design of language model of speech recognition based on HTK and its performance analysis
基于HTK的语音识别语言模型设计及性能分析 - ANN/ HMM Hybrid Model in Speech Recognition
ANN/HMM混合模型在语音识别中的应用 - Novel Articulatory Feature based Dynamic Bayesian Network model for speech recognition
结合发音特征的动态贝叶斯网络语音识别模型 - Reconstructing the Categorization of English Business Letters with Reference to the Categorizing Model of Speech Acts
以言语行为分类模式重构英文商务信函的分类 - Presupposition, Code Model and Speech Communication
预设、代码模式与言语交际 - This paper also introduces HMM model and speech digital signal processing associated with speech recognition.
理论上详细介绍了HMM模型及与语音识别相关的语音数字信号处理。 - Study on the Model of Speech Information Retrieval
可视化语音信息检索模型研究 - Language model for speech recognition applications
语音识别中统计与规则结合的语言模型 - The excitation source for LPC model of speech signals
语音信号线性预测模型中的激励源 - Auditory Model Based Speech Recognition and Comparison with Other Methods
听觉模型用于语音识别以及与一般方法的比较 - Hybrid Model of Hidden Markov Models and a Self Organizing Neural Network Model in Speech Recognition
语音识别中HMM与自组织神经网络结合的混合模型 - Acoustic Model and Language Model for Speech Recognition Systems for Chinese
汉语语言识别的声学模型和语言模型 - DTW and HMM Unified Model in Speech Recognition
语音识别中动态时间规整和隐马尔可夫统一模型 - Model for Speech Recognition Based on Multiple Time Scale Features
基于多时间尺度特征的语音识别模型 - In this paper, after reviewing the history of Chinese speech recognition research, we expound three main problems of speech recognition-feature extraction, pattern dividing and time alignment and the language model in speech recognition.
本文在汉语语音识别的历史回顾基础上，阐述了语音识别的三个基本问题&特征抽取、模式划分和时间对准，以及语音识别中的语言模型。 - In the methods based on a speech model for speech enhancement, the approach based on speech model and kalman filter is discussed.
在分析了基于语音生成模型增强方法基础上，主要研究了基于全极点模型和卡尔曼滤波的方法，并把子带技术与之有机结合起来。 - A model for speech recognition based on joint modeling of frame-based and segmental features
基于帧特征、段特征联合建模的语音识别模型 - Introduction on the digital model of speech signal generation and the principle of the Linear Prediction Analysis-by-Synthesis ( LPAS) coding technology which is based on the principle of speech signal generation.
根据语音信号形成机理，介绍语音信号生成的数字模型和线性预测合成分析编码原理。 - An improved speech/ silence detector is developed by combining a noise parameter estimation method based on short time stationarity of speech signal with a statistical model based speech/ silence detection method.
基于语音信号短时平稳性以及语音信号和噪声的统计模型，提出了一种语音信号有声/无声的检测方法.该方法可对所有语音短时帧更新噪声参数的估值，因而提高了检测的准确性。 - Improvement of Hidden Markov Model for Speech Recognition
语音识别隐马尔可夫模型的改进 - A Noise-Robust Feature Extraction Method Based on Auditory Model in Speech Recognition
一种基于听觉模型的抗噪语音识别特征提取方法 - On the basis of the digital model of speech generation, the speech signal is analyzed in the time domain, frequency domain and the cepstrum domain.
本文基于语音信号产生的数学模型，从时域、频域、倒谱域出发，对语音信号进行分析，论述了语音识别的基本理论。 - A model for speech recognition by computer is suggested.
本文中提出了一个机器识别语言的模型。 - Including: ( 1) We describe the motivation of stochastic segment model and develop linear dynamical system model for speech recognition.
主要工作包括：（1）分析了随机分段模型的建模思想，重点研究了基于分段的线性动态系统声学模型。 - Firstly, this disquisition introduced the foundation acoustics knowledge of speaker recognition: the mathematic model of speech signal and the characteristic parameters of speech both in time-region and frequency-region.
文中首先介绍了说话人识别的声学基础，详细论述了语音信号的数字模型和时域、频域特征参数。 - Acoustic model and speech recognition theory is the basis for building speech recognition systems.
语音的声学模型和识别理论是构建语音识别系统的基础。 - To find out the effects of applying the trace model of speech perception in junior middle school English listening teaching, a teaching experiment which lasted two and a half months was carried out.
为了证实言语听辨轨迹模型理论对初中英语听力教学的作用，笔者提出了实验假设，并进行了两个半月的教学实验。 - For this purpose and based on linguistic theory and language teaching theory, the general law and basic concept of language acquiring by hearing impaired children is worked out as well as the teaching model of speech rehabilitation of children with hearing impairment.
本文正是基于这样的认识，基于语言学理论和语言教学理论，提出听障儿童语言习得一般规律和基本理念，并在此基础上提出听障儿童语言康复的教学模式。 - In the current neural network model of speech production, DIVA model is relatively the most thorough, and is a unique pseudo-inverse model control scheme.
在当前真正具有生物学意义的语音生成和获取神经网络模型中，DIVA模型的定义和测试相对而言是最彻底的，并且是一种唯一应用伪逆控制方案的模型。 - To solve this problem, this paper presents a super-Gaussian mixture model to model the speech signal spectral amplitude. Parameters of the super-Gaussian mixture model are estimated using EM algorithm.
针对这一问题，本文使用了一种超高斯混合模型为语音信号谱幅度建立模型，采用EM算法对超高斯混合模型中的参数进行估计。