自动语音识别的英文

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"自动语音识别"怎么读用"自动语音识别"造句

英文翻译手机版

automatic speech recognition

"自动"英文翻译 voluntarily; of one's own ac ...
"语音"英文翻译 speech sounds; pronunciation ...
"识别"英文翻译 discriminate; distinguish; d ...
"自动语言识别，自动语音识别" 英文翻译 : automatic speech recognition (asr)
"语音识别" 英文翻译 : sr speech recognition; voice recognition
"语音识别, 声音识别" 英文翻译 : voice recognition
"连续语音识别" 英文翻译 : continuous speech recognition; recognition of continuous speech
"语音识别程序" 英文翻译 : speech recognition equipment
"语音识别技术" 英文翻译 : voice recognition
"语音识别模块" 英文翻译 : vrm voice recognition module
"语音识别系统" 英文翻译 : speech recognition system; srs; voice recognition system
"自动语音检索" 英文翻译 : asr automatic speech retrival
"自动话音识别" 英文翻译 : avr automatic voice recognition
"电话语音识别技术" 英文翻译 : vvt via voice telephony
"连续语音识别引擎" 英文翻译 : mcsr
"语音识别打字机" 英文翻译 : voice recognition typewriter
"语音识别呼叫处理" 英文翻译 : vrcvoice recognition call processing
"语音识别与合成" 英文翻译 : vras voice recognition and synthesis
"自动语法识别" 英文翻译 : automatic syntax recognition
"自动语言识别" 英文翻译 : automatic speech recognition
"语音识别和语音理解" 英文翻译 : speech recognition and understanding
"讲话人无关识别〖语音识别" 英文翻译 : sir speaker independent recognition
"自动语音合成仪" 英文翻译 : vocoder
"自动语音数据交换" 英文翻译 : avds automatic voice data switching
"自动语言识别系统" 英文翻译 : automatic speech verification system

例句与用法

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。
In the recent years large progress has been made in speech auto - recognition ; many voice speech systems have been developed
近年来，自动语音识别研究取得了突破性的进展，出现了许多不同类型的语音识别系统。
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。
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。
Keyword spotting is also a good solution for problems of tongue , such as non - standard , incoherence , etc . when there are many differences between the speeches for training and the speeches for testing , the performance of the system is greatly degraded
这对于在自然对话情景下口语的不规范、不连贯等问题也是一种很好的解决方案。在自动语音识别中,当训练语音和识别语音有较大差别时,将导致系统的识别率急剧下降。
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。
There are difficulties in noisy speech recognition , especially low signal - to - noise rations are more difficult . this paper describes briefly six methods for speaker - dependent noisy speech recognition isolated words . they are lpc prediction error method , one - side auto - correlation sequence lpc , acoustic front end processing , canonical correlation based on compensation method , combination of features method and increase of poles method . the experimental results show that all the six techniques can improve effectively noisy speech recognition , and the best noisy speech recognition rate is above 80 % when snr 0db
它们是：线性预测误差法，单边自相关线性预测法，语音前端声学处理法，正则相关分析的谱变换补偿方法，特征综合法和同模极点增加法。实验结果表明，这6种方法都有效地提高了噪声环境中语音识别率，其中较好的方法在强噪声环境中信噪比为0db的语音识别率达到80 %以上，为信噪比较低的噪声环境中自动语音识别展现了美好前景。