speech signal

简明释义

语言信号

英英释义

例句

1.The speech signal 语音信号 was recorded for further analysis in the lab.

该语音信号已被录制以便在实验室进行进一步分析。

2.When processing a speech signal 语音信号, it's important to filter out background noise.

处理语音信号时，重要的是过滤掉背景噪声。

3.The computer can analyze the speech signal 语音信号 to determine the speaker's mood.

计算机可以分析语音信号以确定说话者的情绪。

4.In voice recognition systems, the quality of the speech signal 语音信号 is crucial for accurate transcription.

在语音识别系统中，语音信号的质量对准确转录至关重要。

5.Researchers are developing algorithms to enhance speech signals 语音信号 in noisy environments.

研究人员正在开发算法，以增强嘈杂环境中的语音信号。

作文

In the realm of communication, understanding the nuances of human interaction is vital. One of the fundamental components of this interaction is the speech signal, which refers to the acoustic waveforms produced during spoken language. These signals are not just mere sounds; they carry a wealth of information that can convey emotions, intentions, and meanings. The speech signal can be analyzed in various ways, including its frequency, amplitude, and duration, all of which contribute to our understanding of speech. When we speak, our vocal cords vibrate, creating sound waves that travel through the air. These sound waves are then captured by our ears, allowing us to perceive and interpret the speech signal. However, this process is not as straightforward as it may seem. Various factors can affect how we produce and perceive these signals, such as background noise, speaker accents, and even emotional states. For instance, in a noisy environment, distinguishing one speech signal from another can be challenging. This is where technology plays a crucial role. Speech recognition systems, for example, are designed to analyze speech signals and convert them into text. These systems rely on sophisticated algorithms that can filter out background noise and accurately identify the desired speech signal. Moreover, the study of speech signals extends beyond just understanding how we communicate. It also encompasses various fields such as linguistics, psychology, and artificial intelligence. In linguistics, researchers analyze the phonetic properties of speech signals to understand different languages and dialects. Psychologists study how speech signals can influence social interactions, while AI researchers work on improving speech recognition technologies to enhance human-computer interaction. Another important aspect of speech signals is their role in conveying emotions. The tone, pitch, and rhythm of a speech signal can significantly impact how a message is received. For example, a high-pitched voice may indicate excitement or nervousness, while a low, steady tone may suggest calmness or authority. Understanding these emotional cues within speech signals can improve interpersonal communication and help us connect with others on a deeper level. In conclusion, the speech signal is a complex and multifaceted phenomenon that plays a crucial role in our daily lives. From enabling effective communication to serving as a subject of academic research, speech signals are integral to understanding human interaction. As technology continues to advance, our ability to analyze and interpret speech signals will only improve, paving the way for enhanced communication and understanding in an increasingly interconnected world. Overall, mastering the concept of speech signals not only enriches our knowledge of language but also enhances our communication skills, making it an essential area of study in both personal and professional contexts.

在沟通的领域，理解人际交往的细微差别至关重要。人际交往的基本组成部分之一是语音信号，它指的是在口语交流中产生的声波。这些信号不仅仅是简单的声音；它们承载着丰富的信息，可以传达情感、意图和意义。语音信号可以通过多种方式进行分析，包括其频率、幅度和持续时间，这些都对我们理解语言至关重要。当我们说话时，我们的声带振动，产生的声波通过空气传播。这些声波随后被我们的耳朵捕捉，使我们能够感知和解释语音信号。然而，这个过程并不像看起来那么简单。各种因素都可能影响我们如何产生和感知这些信号，例如背景噪音、说话者的口音，甚至情绪状态。例如，在嘈杂的环境中，区分一个语音信号与另一个可能会很具挑战性。在这方面，技术发挥了至关重要的作用。语音识别系统就是一个例子，它们旨在分析语音信号并将其转换为文本。这些系统依赖于复杂的算法，可以过滤掉背景噪音，并准确识别所需的语音信号。此外，语音信号的研究不仅仅限于理解我们如何交流。它还涉及多个领域，如语言学、心理学和人工智能。在语言学中，研究人员分析语音信号的音位特性，以了解不同的语言和方言。心理学家研究语音信号如何影响社会交往，而人工智能研究人员则致力于改进语音识别技术，以增强人机交互。语音信号的另一个重要方面是它们在传达情感中的作用。语音信号的音调、音高和节奏对信息的接收有显著影响。例如，高音调的声音可能表示兴奋或紧张，而低沉稳定的音调可能暗示冷静或权威。理解语音信号中的这些情感线索可以改善人际沟通，并帮助我们与他人建立更深层次的联系。总之，语音信号是一个复杂而多面的现象，在我们的日常生活中扮演着至关重要的角色。从实现有效沟通到作为学术研究的主题，语音信号对于理解人际互动是不可或缺的。随着技术的不断进步，我们分析和解释语音信号的能力只会提高，为在日益互联的世界中增强沟通和理解铺平道路。总体而言，掌握语音信号的概念不仅丰富了我们对语言的理解，还提高了我们的沟通技巧，使其成为个人和职业环境中必不可少的研究领域。