automatic speech recognition

简明释义

自动语音识别;

英英释义

例句

1.Language translation apps often use automatic speech recognition 自动语音识别 to convert spoken language into text.

语言翻译应用程序通常使用自动语音识别自动语音识别将口语转换为文本。

2.In customer service, automatic speech recognition 自动语音识别 can help reduce wait times by routing calls to the right department.

在客户服务中，自动语音识别自动语音识别可以通过将电话转接到正确的部门来减少等待时间。

3.The virtual assistant uses automatic speech recognition 自动语音识别 to understand and respond to user commands.

虚拟助手使用自动语音识别自动语音识别来理解和响应用户命令。

4.Many smartphones now come equipped with automatic speech recognition 自动语音识别 technology to assist users in making calls hands-free.

许多智能手机现在都配备了自动语音识别自动语音识别技术，以帮助用户免提拨打电话。

5.The transcription software utilizes automatic speech recognition 自动语音识别 to create written records of meetings.

转录软件利用自动语音识别自动语音识别来创建会议的书面记录。

作文

In today's fast-paced world, technology continues to evolve at an astonishing rate, making our lives easier and more efficient. One of the most remarkable advancements in recent years is automatic speech recognition, which has transformed the way we interact with devices and access information. This innovative technology allows machines to understand and process human speech, enabling users to communicate with their devices using their voice rather than traditional input methods such as typing. The implications of automatic speech recognition are vast and varied, impacting numerous sectors including education, healthcare, and customer service.To begin with, automatic speech recognition has significantly enhanced accessibility for individuals with disabilities. For those who may have difficulty using a keyboard or touchscreen, this technology provides an alternative means of communication. Voice-activated systems allow users to dictate text, control smart home devices, or even browse the internet without needing to physically interact with a device. This not only empowers individuals with disabilities but also promotes inclusivity in our increasingly digital society.Moreover, in the realm of education, automatic speech recognition offers students new ways to engage with learning materials. Language learners, for instance, can benefit from speech recognition tools that provide instant feedback on pronunciation and fluency. These tools can help students practice speaking in a foreign language, allowing them to improve their skills in a supportive environment. Additionally, educators can use automatic speech recognition to create interactive lessons that cater to diverse learning styles, making education more personalized and effective.In the healthcare sector, automatic speech recognition is revolutionizing the way medical professionals document patient information. Traditionally, physicians would spend hours entering data into electronic health records, taking time away from patient care. With the advent of speech recognition technology, doctors can now dictate notes directly into the system, streamlining the documentation process. This not only saves time but also reduces the likelihood of errors associated with manual data entry, ultimately improving patient outcomes.Furthermore, businesses are harnessing the power of automatic speech recognition to enhance customer service. Many companies have implemented voice-activated chatbots and virtual assistants to handle customer inquiries, providing quick and efficient responses. This technology enables businesses to offer 24/7 support, ensuring that customers receive assistance whenever they need it. As a result, organizations can improve customer satisfaction and loyalty while reducing operational costs.Despite its many benefits, automatic speech recognition does face challenges. Accents, dialects, and background noise can affect the accuracy of speech recognition systems, leading to misunderstandings or misinterpretations. Developers are continuously working to improve these systems, incorporating machine learning algorithms that adapt to different speech patterns and environments. As technology advances, we can expect automatic speech recognition to become even more accurate and reliable.In conclusion, automatic speech recognition is a groundbreaking technology that has the potential to reshape how we interact with the world around us. From enhancing accessibility for individuals with disabilities to streamlining processes in healthcare and customer service, the applications of this technology are limitless. As we continue to embrace advancements in artificial intelligence and machine learning, it is essential to recognize the transformative power of automatic speech recognition and its ability to improve our everyday lives.

在当今快节奏的世界中，科技以惊人的速度不断发展，使我们的生活变得更加轻松和高效。近年来最显著的进展之一是自动语音识别，它改变了我们与设备互动和获取信息的方式。这项创新技术使机器能够理解和处理人类的语言，使用户能够通过语音而不是传统的输入方式（如打字）与设备进行交流。自动语音识别的影响广泛而多样，影响着包括教育、医疗保健和客户服务在内的多个领域。首先，自动语音识别显著提高了残疾人士的可及性。对于那些可能难以使用键盘或触摸屏的人来说，这项技术提供了一种替代的交流方式。语音激活系统允许用户直接口述文本、控制智能家居设备，甚至在不需要物理接触设备的情况下浏览互联网。这不仅赋予了残疾人士权力，也促进了我们日益数字化社会的包容性。此外，在教育领域，自动语音识别为学生提供了与学习材料互动的新方式。例如，语言学习者可以受益于提供发音和流利度即时反馈的语音识别工具。这些工具可以帮助学生在外语口语练习中提高技能，让他们在一个支持性的环境中进步。此外，教育工作者可以利用自动语音识别创建互动课程，满足不同的学习风格，使教育变得更加个性化和有效。在医疗领域，自动语音识别正在彻底改变医疗专业人员记录患者信息的方式。传统上，医生需要花费数小时将数据输入电子健康记录，这占用了患者护理的时间。随着语音识别技术的出现，医生现在可以直接将笔记口述到系统中，从而简化文档处理过程。这不仅节省了时间，还减少了手动数据输入相关的错误可能性，最终改善了患者的结果。此外，企业正在利用自动语音识别增强客户服务。许多公司已经实施了语音激活的聊天机器人和虚拟助手来处理客户咨询，提供快速高效的响应。这项技术使企业能够提供24/7的支持，确保客户在需要时随时获得帮助。因此，组织可以提高客户满意度和忠诚度，同时降低运营成本。尽管有许多好处，自动语音识别确实面临挑战。口音、方言和背景噪音会影响语音识别系统的准确性，导致误解或误读。开发人员正在不断努力改进这些系统，结合机器学习算法，以适应不同的语音模式和环境。随着技术的进步，我们可以期待自动语音识别变得更加准确和可靠。总之，自动语音识别是一项突破性的技术，具有重塑我们与周围世界互动方式的潜力。从提高残疾人士的可及性到简化医疗和客户服务中的流程，这项技术的应用是无限的。随着我们继续接受人工智能和机器学习的进步，认识到自动语音识别的变革力量及其改善我们日常生活的能力至关重要。