voice recognition

简明释义

语言识别

英英释义

The ability of a computer or device to identify and process human voice inputs.

计算机或设备识别和处理人类语音输入的能力。

A technology that enables the recognition of spoken words and commands.

一种使得识别口语单词和命令的技术。

例句

1.Some cars now have advanced voice recognition 语音识别 systems that allow drivers to navigate and control music without taking their hands off the wheel.

一些汽车现在配备有先进的语音识别 voice recognition 系统,允许驾驶员在不离开方向盘的情况下导航和控制音乐。

2.The voice recognition 语音识别 feature in smart home devices allows you to control lights and appliances with your voice.

智能家居设备中的语音识别 voice recognition 功能允许你用声音控制灯光和电器。

3.Many smartphones now come equipped with voice recognition 语音识别 technology to assist users in making calls hands-free.

许多智能手机现在配备有语音识别 voice recognition 技术,以帮助用户免提拨打电话。

4.Using voice recognition 语音识别, you can dictate messages instead of typing them out on your device.

使用语音识别 voice recognition,你可以口述信息,而不是在设备上打字。

5.In customer service, voice recognition 语音识别 systems can help automate responses to frequently asked questions.

在客户服务中,语音识别 voice recognition 系统可以帮助自动回答常见问题。

作文

Voice recognition technology has become an integral part of our daily lives, transforming how we interact with devices and access information. This innovative technology enables machines to understand and process human speech, allowing users to perform tasks simply by speaking. The advancements in voice recognition 语音识别 have been remarkable over the past few years, leading to a surge in its applications across various fields. One of the most notable applications of voice recognition 语音识别 is in virtual assistants like Siri, Google Assistant, and Alexa. These digital companions can perform a multitude of tasks, from setting reminders and sending messages to controlling smart home devices. By using voice recognition 语音识别, these assistants provide a hands-free experience that is not only convenient but also enhances productivity. For example, when driving, a user can simply ask their assistant to navigate to a destination without taking their hands off the wheel or their eyes off the road. In addition to personal use, voice recognition 语音识别 technology is making waves in industries such as healthcare and customer service. In healthcare, professionals can use voice recognition 语音识别 to document patient information more efficiently. Instead of typing notes during patient consultations, doctors can dictate their observations and treatment plans directly into electronic health records. This not only saves time but also reduces the risk of errors associated with manual data entry. Customer service has also benefited from voice recognition 语音识别 systems. Many companies now implement automated phone systems that utilize this technology to assist customers. When a caller dials in, they can simply state their issue or request, and the system will interpret their words to connect them to the appropriate department or provide relevant information. This reduces wait times and improves overall customer satisfaction. Despite the numerous advantages, there are challenges associated with voice recognition 语音识别 technology. One significant hurdle is the accuracy of the system, which can vary depending on factors such as the user's accent, background noise, and the complexity of the spoken language. Developers are continuously working to improve algorithms and machine learning models to enhance understanding and accuracy. Furthermore, privacy concerns arise as voice recognition 语音识别 systems often require users to share personal data for better performance. Striking a balance between functionality and privacy is crucial for the widespread adoption of this technology. Looking ahead, the future of voice recognition 语音识别 technology appears promising. As artificial intelligence continues to evolve, we can expect even more sophisticated systems capable of understanding context and emotion in speech. This could lead to more natural interactions between humans and machines, making technology feel more intuitive and accessible. In conclusion, voice recognition 语音识别 technology is revolutionizing how we communicate with devices and access information. Its applications in personal assistants, healthcare, and customer service demonstrate its versatility and potential to enhance our lives. While challenges remain, ongoing advancements suggest that voice recognition 语音识别 will play an increasingly significant role in our future interactions with technology.

语音识别技术已成为我们日常生活中不可或缺的一部分,改变了我们与设备的互动方式和获取信息的方式。这项创新技术使机器能够理解和处理人类的语言,使用户仅通过说话即可执行任务。近年来,语音识别 voice recognition 的进步令人瞩目,导致其在各个领域的应用激增。语音识别 voice recognition 最显著的应用之一是在虚拟助手中,如Siri、Google Assistant和Alexa。这些数字助手可以执行多种任务,从设置提醒和发送消息到控制智能家居设备。通过使用语音识别 voice recognition,这些助手提供了一种免提体验,不仅方便,而且提高了生产力。例如,在驾驶时,用户只需询问助手导航到目的地,而无需将手从方向盘上移开或将视线从道路上移开。除了个人使用外,语音识别 voice recognition 技术在医疗保健和客户服务等行业也取得了很大进展。在医疗保健领域,专业人员可以使用语音识别 voice recognition 更有效地记录患者信息。医生可以直接将观察结果和治疗计划口述到电子健康记录中,而不是在患者咨询期间输入笔记。这不仅节省了时间,还减少了与手动数据输入相关的错误风险。客户服务也受益于采用语音识别 voice recognition 系统。许多公司现在实施自动电话系统,利用这项技术来协助客户。当来电者拨打电话时,他们可以简单地说明他们的问题或请求,系统会解释他们的话,以将他们连接到适当的部门或提供相关信息。这减少了等待时间,提高了整体客户满意度。尽管有许多优势,但语音识别 voice recognition 技术仍面临挑战。其中一个重大障碍是系统的准确性,这可能因用户的口音、背景噪音和所说语言的复杂性而异。开发人员不断努力改善算法和机器学习模型,以提高理解和准确性。此外,由于语音识别 voice recognition 系统通常要求用户共享个人数据以提高性能,因此隐私问题也随之而来。在功能和隐私之间找到平衡对于这项技术的广泛应用至关重要。展望未来,语音识别 voice recognition 技术的前景似乎令人鼓舞。随着人工智能的不断发展,我们可以期待更复杂的系统,能够理解语音中的上下文和情感。这可能导致人类与机器之间更自然的互动,使技术感觉更加直观和可访问。总之,语音识别 voice recognition 技术正在彻底改变我们与设备沟通和获取信息的方式。其在个人助手、医疗保健和客户服务中的应用展示了其多样性和增强我们生活的潜力。尽管仍然存在挑战,但持续的进步表明,语音识别 voice recognition 将在我们未来与技术的互动中发挥越来越重要的作用。

相关单词

recognition

recognition详解:怎么读、什么意思、用法