多年来，计算机用户都能够运行处理器密集型的语音识别应用程序来基于声音处理执行命令，但这常常需要进行大量的配置。
For many years, computer users have been able to run processor-intensive speech recognition applications executing commands based on voice processing and requiring extensive configuration.
这一点同样适用于计算机语音识别。
即使如此，但有许多流行技术，比如语音识别，机器翻译，以及IBM那台击败人类国际象棋大师的计算机“深蓝”似乎都像是人工智能的某种萌芽。
Even so, there are many current technologies, such as speech recognition, machine translation, and IBM's human-beating chess grandmaster Deep Blue, that would have seemed like AI at the beginning.
面对会议盛况，张益肇博士说：“合作的潜力是本次会议的驱动力”。 无论是致力于语音识别技术的技术战略总监张益肇博士(见左侧下)，还是聚焦多媒体分析技术的副院长李世鹏博士，微软亚洲研究院来自不同领域的计算机科学家们，正携手致力于用信息技术来改善全人类的医疗保健。
The potential for collaboration, said Chang, director of Technology Strategy for Microsoft Research Asia, was the driver behind the event.
训练一台计算机识别语音以及向它听到的内容应用文法规则，是一个相当直观的过程，即使在开源世界也是如此。
Training a computer to recognize spoken sounds and apply grammar rules to what it hears is a fairly straightforward process, even in the world of open source.
相比之下，文本处理的硬件要求微不足道，并且可以在同一台计算机上运行，而不会影响语音识别处理的性能。
By contrast, the text-processing hardware requirements are negligible and can be run on the same machine without affecting the performance of the speech-recognition processing.
然后，他们将庞大的声响数据库发送给计算机，以验证机器学习是否能帮助他们理解这些问题，比如使用用于人类语音识别的算法。
They then fed their huge database of calls to computers, to test whether machine learning could help make sense of them, using algorithms like the ones used for human speech recognition.
谷歌把大量财力和技术资源投入到了一系列数据挖掘和人口智能系统之中，从语音识别到机器翻译再到计算机视觉，不一而足。
Google has shoveled vast financial and engineering resources into a collection of data mining and artificial intelligence systems, from speech recognition to machine translation to computer vision.
这对于人机自然交互，听觉视觉双模态语音识别，计算机视觉的研究都有重要意义。
It is important for the study of man machine natural interaction, audiovisual bimodal speech recognition and computer vision.
您的计算机必须有声卡或内置式声音才能运行语音识别。
Your computer must either have a sound card or built in sound capabilities for speech recognition to work.
计算机语音技术涉厦到人工智能、模式识别、微机技术、语言声学、语言学和认知科学等许多学科领域。
Computer technology of phonetics relates to many disciplines, such as Artificial Intelligence, Pattern Identification, Computer technology, Linguistics, Language Acoustics, Cogniza-tion, and etc.
模板匹配是计算机语音识别的重要手段之一。
Template matching is one the important technology in the area of computer speech recognition.
把内部调制解调器技术与语音识别结合起来，用计算机取代电话基本上是可以的。
When you combine the technologies present in internal modems with voice recognition, the basics for having your computer replace your phone-voice line are in place.
用于语音识别的设备，方法，计算机系统和存储介质。
Equipment, method, computer system and storage medium for speed identification.
计算机的自动语音识别。
即便是最好的人类棋手，计算机一直以来都能够击败。但在语音识别和对象识别这些认知领域，直到最近计算机才能够达到人类的平均水平。
Computers have long been able to defeat even the best human chess player, but are only recently matching some of the abilities of average human beings to recognize objects or speech.
语音识别是指利用计算机通过识别和理解把人类的语音信号转变为相应的文本或命令技术。
Speech recognition is changing the human voice signal into corresponding technical texts or order by means of identifying and understanding using computers.
该职位并不要求事先具备计算机语音识别的技术知识，但有此方面背景知识者为佳。
The position does not require prior knowledge of computer speech recognition technology, though it would be an advantage to have that.
他们希望那些推动实现语音、图片识别重大进展的技术也可以帮助计算机更高效地解析、生成语言。
The hope is that techniques that have produced spectacular progress in voice and image recognition, among other areas, may also help computers parse and generate language more effectively.
符号学研究已成为一种国际性的研究热点，但是真正运用到计算机在对语音文本识别实验中较为鲜见。
Study on semiotics has a hot topic around the world, but it hesitates to be applied into computer-field, which would be a wonder if it has access to the speech recognition.
语种识别是利用计算机对一定长度的语音材料进行处理，判别其所属语言种类的过程，是语音识别的一个重要研究方向。
Language identification is the process of determining the language to which a given utterance belongs by a computer, which is an important research direction in speech recognition.
介绍了利用MCS- 96单片计算机构成实用语音传感器的电路设计方案和配合该系统研究的语音识别方法以及实验结果等。
A practical speech sound sensor is introduced which employs a MCS-96 monolithic processor. The circuit design, associated methods for recognizing speech sound and testing results are also presented.
要建立一个具有听、说能力的计算机语音系统，必需的两项关键技术就是语音识别技术与语音合成技术。
To establish a computer system which has listening and speaking ability, Voice Identification and Voice Synthesis are the two key technologies.
因此本文利用现有的语音识别技术和计算机视觉技术，来开发适合残疾人用户使用的人机交互辅助系统。
This paper makes use of existing speech recognition and computer vision technology to develop a human-computer interaction support system for disabled users.
计算机模拟实验显示，经该方法预处理后的语音送入隐马尔柯夫模型的语音识别系统比传统算法有更高的识别率。
Traditional training methods for hidden Markov models, such as Baum Welch method can only lead to local optima, which reduces the recognition rate.
计算机模拟实验显示，经该方法预处理后的语音送入隐马尔柯夫模型的语音识别系统比传统算法有更高的识别率。
Traditional training methods for hidden Markov models, such as Baum Welch method can only lead to local optima, which reduces the recognition rate.
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