automatic speech造句
例句与造句
- Application of hmm in automatic speech recognition system
在语音识别系统中的应用 - Asr automatic speech recognition
自动语音识别 - Automatic speech recognition
自动语音识别 - 345 introduces students to the rapidly developing field of automatic speech recognition
345向学生介绍自动语音识别这一快速发展中的领域。 - Results show that ann has a higher recognition rate and potential advantages in automatic speech recognition
研究结果表明，神经网络识别方法有较高的识别率和独特的应用优势。 - It's difficult to find automatic speech in a sentence. 用automatic speech造句挺难的
- The framework and functions of the system based on commercial automatic speech recognition ( asr ) engine are introduced
摘要介绍实现商用自动语音识别的系统架构及其功能，阐述应用自动语音识别技术实现的新通信增值业务。 - Since hmm was introduced at the end of 1960 , it has been applied to the connected , speaker - independent , automatic speech recognition with the advantage of modeling various patterns
在1960年末被提出的hmm模型，已经被应用的连续的和演讲者无关的自动演讲识别中。 - Automatic speech recognition is used more and more widely in people ’ s life , which is categorized into continuous speech recognition and keyword spotting
自动语音识别技术在当代人们的生活中有了越来越广泛的应用。目前自动语音识别又大致分为连续语音识别和关键词识别。 - The noise robustness is one of the crucial factors that have deep influence upon the practicability of the speech recognition system , and then it has become the focus in the research field of automatic speech recognition
语音识别系统的噪声鲁棒性是决定语音识别技术从实验室走向实际应用的关键环节，是目前语音识别领域的研究热点与难点。 - Along with rapid development of human computer interaction system , emotion in speech is a topic that has received much attention during the last few years , in the context of speech synthesis as well as in automatic speech recognition
随着人机交互系统的快速发展,语音信号中的情感信息近年来正越来越受到人们的重视,特别是在语音合成和语音识别等领域。 - A general structure of speech control for intelligent electrical system is presented , which includes an operation platform for both automatic speech recognition ( asr ) and driver intention recognition ( dir ) and the intelligent electrical / electronic system in vehicles
摘要提出一种语音控制汽车智能电器系统的总体结构框架，包括语音识别和驾驶员意图识别的运算平台及汽车智能电器系统。 - The application of artificial neural networks ( ann ) to automatic speech recognition ( asr ) is investigated in this thesis . the recognition of speaker - independent and isolated words is focused and three types of ann model are presented . the related algorithms and programs are developed
本文基于自动语音识别( asr )的原理和过程，结合人工神经网络( ann )的建模理论及特点，主要研究了人工神经网络在自动语音识别中的应用问题。 - Based on the theory and procedure of the automatic speech recognition ( asr ) ， and combined the theory and characteristics of the artificial neural networks ( ann ) ， the research in this paper is oriented on the theory and application of the mixed model ? hmmnn ， which is formed by the combination of the hidden markov model ( hmm ) and the self - organized neural networks （ sonn ） ， and the related algorithms and model are developed
本文基于自动语音识别（ asr ）的原理和过程，结合人工神经网络( ann )的建模理论及特点，主要研究了隐含马尔可夫模型（ hmm ）与自组织神经网络( sonn )相结合的混合模型hmmnn的原理及在语音识别中的应用，分析构造了相应的语音识别模型与算法。 - Fourthly , since the missing between training and practical environments is the fundamental reason for the degradation of performance of automatic speech recognition , we have proposed a method to compensate and amend hmm to adapt noise environments . experiments show that better noisy robustness can be achieved , especially in stationary background noisy environments
在语音特征参数级去噪的基础上，提出了一种基于hmm和倒谱特征的噪声补偿方法，通过对纯净环境下的模型参数的补偿与修正，实现训练环境与测试环境的匹配。 - Professor ching s research interests include adaptive digital signal processing , time delay estimation and target localization , wavelets , blind signal estimation and separation , automatic speech recognition for cantonese , speech modeling and speech synthesis , hands - free communications and advanced signal processing techniques for communications
程教授从事的研究包括信息技术、数字信号处理、语音分析合成、识别，以及阵列处理及通信等。他出版了一百六十多篇专文，先后于国际性期刊刊登及于国际会议中发表。