recognizer

简明释义

英[ˈrekəɡnaɪzə(r)]美[ˈrekəɡˌnaɪzər]

n. [计] 识别器，[计] 识别程序

英英释义

单词用法

同义词

反义词

例句

1.Microsoft speech recognizer. How to recognize questions?

微软的语音识别。如何识别问题？

2.The most important feature is to open the water recognizer, which allows the end user as a verifier to identify the reliability and the true copyright author of the software work.

该方案最大的特点是公开了水印识别器，允许最终用户以验证者的身份鉴别软件作品的可靠性和真实性。

3.In spite of almost 50 years of research, design of a general purpose machine pattern recognizer remains an elusive goal.

尽管近50年的研究，设计一种通用机器识别模式仍是一个遥不可及的目标。

4.First, you can express a grammar in a number of different ways, depending on which speech recognizer application you use.

首先，您可以用很多不同的方式表达一种文法，具体取决于您使用的是哪个语音识别器应用程序。

5.The recognizer matches the user utterance to an entry in an active grammar, and the voice browser responds based on how you design the VoiceXML program.

识别器把用户的话语与活动语法内的一个条目匹配起来，语音浏览器根据您对VoiceXML程序的定义进行响应。

6.The state recognizer is used to rectify the variations of system's parameters and the system nonlinear.

系统通过状态观测器修正系统因参数变化和非线性引起的误差，并应用正交实验法进行参数整定。

7.The state recognizer is used to rectify the variations of system's parameters and the system nonlinear. The right-across experiment method is proposed to adjust the parameters.

系统通过状态观测器修正系统因参数变化和非线性引起的误差，并应用正交实验法进行参数整定。

8.This recognizer will perform best if it can check for new terms and actions from a central server.

如果此识别器可以检查来自中央服务器的新条件和操作，则其性能最佳。

9.The speech recognizer 识别器 can convert spoken words into text.

这个语音识别器可以将口语转换为文本。

10.Our new app uses a face recognizer 识别器 to unlock your phone securely.

我们的新应用使用面部识别器来安全解锁您的手机。

11.The handwriting recognizer 识别器 helps digitize handwritten notes.

手写识别器帮助数字化手写笔记。

12.With the image recognizer 识别器, you can identify objects in photos.

使用图像识别器，您可以识别照片中的物体。

13.The AI recognizer 识别器 can detect patterns in large datasets.

AI识别器可以在大型数据集中检测模式。

作文

In the rapidly evolving world of technology, the term recognizer refers to a system or device that is capable of identifying and interpreting information from various inputs, such as speech, images, or gestures. The concept of a recognizer is integral to numerous applications we encounter daily, from virtual assistants like Siri and Alexa to advanced security systems that utilize facial recognition. Understanding how these recognizers function can enhance our appreciation of technology and its impact on our lives. One of the most common examples of a recognizer is speech recognition software. This technology converts spoken language into text, allowing users to interact with their devices using voice commands. For instance, when you ask your smartphone to send a message or play a song, the built-in speech recognizer processes your words and executes the command. This not only makes technology more accessible but also revolutionizes how we communicate with machines. Another significant application of recognizers is in the field of image processing. Image recognizers analyze visual data to identify objects, people, or even emotions. For example, social media platforms often use image recognizers to automatically tag friends in photos. By recognizing faces and matching them with existing profiles, these systems save users time and streamline the sharing process. Additionally, in the realm of autonomous vehicles, image recognizers are crucial for detecting pedestrians, road signs, and other vehicles, ensuring safety on the roads. The development of gesture recognizers has further expanded the ways we interact with technology. These systems interpret physical movements as commands, allowing for touchless control of devices. For example, smart TVs may use gesture recognizers to enable users to change channels or adjust volume simply by waving their hands. This innovation not only enhances user experience but also caters to individuals with disabilities who may find traditional interfaces challenging. While the benefits of recognizers are clear, it is essential to consider the ethical implications associated with their use. Privacy concerns arise when recognizers collect data about users without their explicit consent. For instance, facial recognition technology has sparked debates about surveillance and personal privacy, particularly in public spaces. As we continue to integrate recognizers into our lives, it is crucial to establish guidelines and regulations that protect individuals' rights while still reaping the advantages of technological advancements. In conclusion, the term recognizer encompasses a range of technologies that enhance our interaction with the digital world. From speech and image recognition to gesture control, these systems have transformed how we communicate, access information, and navigate our environment. However, as we embrace these innovations, we must remain vigilant about the ethical considerations they entail. By fostering a responsible approach to technology, we can ensure that recognizers serve to improve our lives while respecting our privacy and autonomy.

在快速发展的科技世界中，术语recognizer指的是能够从各种输入（如语音、图像或手势）中识别和解释信息的系统或设备。recognizer的概念对于我们每天遇到的许多应用至关重要，从虚拟助手如Siri和Alexa到利用面部识别的先进安全系统。理解这些recognizers的功能可以增强我们对科技及其对生活影响的欣赏。 最常见的recognizer示例之一是语音识别软件。这项技术将口语转换为文本，使用户能够通过语音命令与设备互动。例如，当你要求智能手机发送消息或播放歌曲时，内置的语音recognizer处理你的话并执行命令。这不仅使科技更加可及，还彻底改变了我们与机器的沟通方式。 recognizers的另一个重要应用是在图像处理领域。图像recognizers分析视觉数据以识别物体、人或甚至情感。例如，社交媒体平台通常使用图像recognizers自动标记照片中的朋友。通过识别面孔并将其与现有个人资料匹配，这些系统节省了用户的时间并简化了共享过程。此外，在自动驾驶汽车领域，图像recognizers对于检测行人、交通标志和其他车辆至关重要，确保道路安全。 手势recognizers的发展进一步扩展了我们与科技互动的方式。这些系统将身体动作解释为命令，允许无接触地控制设备。例如，智能电视可能使用手势recognizers使用户通过挥手更改频道或调整音量。这一创新不仅增强了用户体验，还满足了那些可能发现传统界面具有挑战性的残疾人士的需求。 尽管recognizers的好处显而易见，但考虑与其使用相关的伦理问题也至关重要。当recognizers在未获得用户明确同意的情况下收集有关用户的数据时，隐私问题随之而来。例如，面部识别技术引发了关于监控和个人隐私的辩论，特别是在公共场所。随着我们继续将recognizers融入我们的生活，制定保护个人权利的指南和法规，同时仍然享受技术进步的优势，变得至关重要。 总之，术语recognizer涵盖了一系列增强我们与数字世界互动的技术。从语音和图像识别到手势控制，这些系统已经改变了我们交流、访问信息和导航环境的方式。然而，随着我们拥抱这些创新，我们必须对它们所带来的伦理考量保持警惕。通过培养对技术负责任的态度，我们可以确保recognizers在改善我们生活的同时，尊重我们的隐私和自主权。