voice frequency signal

简明释义

音频信号

英英释义

例句

1.A voice frequency signal 语音频率信号 can be affected by background noise during a call.

通话期间，语音频率信号 voice frequency signal 可能会受到背景噪音的影响。

2.Digital systems often convert voice frequency signals 语音频率信号 into digital data for processing.

数字系统通常将语音频率信号 voice frequency signals 转换为数字数据进行处理。

3.The telephone converts sound waves into a voice frequency signal 语音频率信号 for transmission.

电话将声波转换为语音频率信号 voice frequency signal 以进行传输。

4.In telecommunications, the voice frequency signal 语音频率信号 is crucial for clear audio communication.

在电信中，语音频率信号 voice frequency signal 对于清晰的音频通信至关重要。

5.The modem uses a voice frequency signal 语音频率信号 to send data over traditional phone lines.

调制解调器使用语音频率信号 voice frequency signal 通过传统电话线路发送数据。

作文

In the realm of telecommunications, the term voice frequency signal refers to the electrical representation of sound waves that are within the frequency range of human speech. This range typically spans from about 300 Hz to 3400 Hz, which is crucial for clear voice communication. Understanding voice frequency signal is essential for both engineers and users alike, as it forms the foundation of how we transmit and receive voice messages over various communication systems. The concept of voice frequency signal is significant in multiple applications, including traditional telephone systems, radio broadcasting, and modern digital communications. In traditional telephony, for instance, the voice frequency signal is modulated onto a carrier wave to enable transmission over long distances. This modulation allows the original sound to be reconstructed accurately at the receiving end, ensuring that conversations remain intelligible. Moreover, the technology behind voice frequency signal has evolved with advancements in digital communications. Digital signal processing techniques have enabled more efficient encoding and decoding of voice signals, enhancing the clarity and quality of voice calls. For example, Voice over Internet Protocol (VoIP) systems rely heavily on the principles of voice frequency signal processing to convert analog voice signals into digital data packets, which can be transmitted over the internet. The importance of voice frequency signal extends beyond mere communication; it plays a critical role in various fields such as linguistics, acoustics, and even artificial intelligence. Researchers study the characteristics of voice frequency signal to develop better speech recognition systems, which can interpret and respond to human speech with increasing accuracy. This has profound implications for technology, enabling hands-free devices, virtual assistants, and automated customer service solutions that rely on understanding human language. Furthermore, the analysis of voice frequency signal can aid in diagnosing and treating speech disorders. Speech therapists often utilize tools that measure the frequency and amplitude of voice signals to assess a person's speech patterns and identify areas that require improvement. By understanding the nuances of voice frequency signal, therapists can tailor their approaches to help individuals regain their communication abilities. In conclusion, the voice frequency signal is an integral component of modern communication technologies. Its significance spans across various domains, impacting not only how we communicate but also how we understand and interact with the world around us. As technology continues to advance, the study and application of voice frequency signal will undoubtedly play a pivotal role in shaping the future of human interaction and connectivity. The ability to harness and manipulate these signals effectively opens up new possibilities for innovation and enhances our daily lives in ways we may not always recognize.

在电信领域，术语语音频率信号指的是人声的声音波的电气表示，这些声音波的频率范围通常在300 Hz到3400 Hz之间，这对于清晰的语音通信至关重要。理解语音频率信号对工程师和用户来说都是必不可少的，因为它构成了我们如何通过各种通信系统传输和接收语音消息的基础。语音频率信号的概念在多个应用中具有重要意义，包括传统电话系统、广播和现代数字通信。例如，在传统电话中，语音频率信号被调制到载波波上，以便能够在长距离上传输。这种调制使得原始声音能够在接收端准确重建，从而确保对话保持可懂性。此外，随着数字通信技术的进步，关于语音频率信号的技术也得到了发展。数字信号处理技术使得语音信号的编码和解码更加高效，提高了语音通话的清晰度和质量。例如，基于互联网协议的语音通信（VoIP）系统在很大程度上依赖于语音频率信号处理的原理，将模拟语音信号转换为数字数据包，这些数据包可以通过互联网传输。语音频率信号的重要性不仅限于通信，它在语言学、声学甚至人工智能等多个领域中都发挥着关键作用。研究人员研究语音频率信号的特征，以开发更好的语音识别系统，这些系统可以以越来越高的准确性解读和响应人类的语言。这对技术产生了深远的影响，使得免提设备、虚拟助手和自动化客户服务解决方案能够依赖于理解人类语言。此外，分析语音频率信号有助于诊断和治疗语言障碍。语言治疗师通常利用测量语音信号的频率和幅度的工具来评估一个人的语音模式，并确定需要改进的地方。通过理解语音频率信号的细微差别，治疗师可以量身定制他们的方法，帮助个人恢复沟通能力。总之，语音频率信号是现代通信技术不可或缺的组成部分。它的重要性跨越多个领域，不仅影响着我们的沟通方式，也影响着我们如何理解和与周围世界互动。随着技术的不断进步，语音频率信号的研究和应用无疑将在塑造人类互动和连接的未来中发挥关键作用。有效利用和操控这些信号的能力，为创新开辟了新的可能性，并以我们可能并不总是意识到的方式提升了我们的日常生活。