formants

简明释义

英[ˈfɔrmənts]美[ˈfɔrmənts]

n. [电子]共振峰（formant 的复数）；特盏率

英英释义

单词用法

同义词

反义词

例句

1.Results The data failed to show any difference in domain, pitch and the first formant ( P >0.05) between two methods, but it revealed obvious difference in energy and the other formants ( P< 0.01).

结果两种语音输入法的音长、音高和第一共振峰无明显差异（P>0 .0 5 ） ，而能量和第二、三共振峰有明显差异（P<0 .0 1）。

2.Results The data failed to show any difference in domain, pitch and the first formant ( P >0.05) between two methods, but it revealed obvious difference in energy and the other formants ( P< 0.01).

结果两种语音输入法的音长、音高和第一共振峰无明显差异（P>0 .0 5 ） ，而能量和第二、三共振峰有明显差异（P<0 .0 1）。

3.The improved method based on fuzzy entropy, which analyzed and distilled the weight of speech duration, average magnitudes, pitch frequency, formants and Mel-frequency cesptral coefficients.

分析了发音持续时间、平均振幅、基音频率，第一共振峰和Mel频率倒谱参数，并基于模糊熵理论提取了各参数的权重。

4.The SNR in public environment of whispered speech is lower than normal speech and the former hasn't pitch period and its formants are not obvious, so whispered speech enhancement is harder.

相对于正常语音来说，耳语音在公共场合的信噪比较低，而且没有基音周期，共振峰不明显，所以耳语音增强具有一定的难度。

5.A frequency domain technique is presented to be used in speech coding to improve the performance of low order linear prediction (LP) in modeling of formants of voiced speech.

讨论了一个用于语音编码的频域技术，用以在浊音语音共振峰模型方面改善低阶数线性预测(LP)的性能。

6.The formants were measured using LPC method. The averaged values and deviations of formants were given with statistical meaning.

共振峰的测量采用LPC法，给出了具有统计意义的前五个共振峰的平均值和散布。

7.The experimental items include the fundamental frequency (Fo), the rimal duration, the amplitude and the formants.

声学实验项目包括基本频率、音长、音强和共振峰。

8.A new approach of speech-driven facial animation based on formants analysis is presented.

提出了一种基于共振峰分析的语音驱动人脸动画的方法。

9.In phonetics, the analysis of vowel sounds often involves examining their formants 共振峰 to understand how they are produced.

在语音学中，元音声音的分析通常涉及检查它们的formants 共振峰以理解它们是如何产生的。

10.Speech synthesis technology relies on accurately generating formants 共振峰 to create realistic human-like voices.

语音合成技术依赖于准确生成formants 共振峰来创造逼真的类人声音。

11.When teaching pronunciation, it is important to highlight the role of formants 共振峰 in distinguishing between similar vowel sounds.

在教授发音时，强调formants 共振峰在区分相似元音声音中的作用是很重要的。

12.Linguists often use spectrograms to visualize the formants 共振峰 of different phonemes in a language.

语言学家常常使用声谱图来可视化语言中不同音素的formants 共振峰。

13.The first two formants 共振峰 are crucial for identifying vowel quality in acoustic analysis.

在声学分析中，前两个formants 共振峰对识别元音质量至关重要。

作文

Understanding the concept of formants is crucial for anyone interested in the fields of linguistics, phonetics, or speech science. Formants are the resonant frequencies of the vocal tract that shape the sounds we produce when speaking. They play a significant role in distinguishing different vowel sounds and contribute to the overall quality of speech. When we articulate words, our vocal cords vibrate to create sound waves, and these sound waves travel through the complex structure of our vocal tract, which includes the throat, mouth, and nasal passages. The configuration of these structures determines the specific frequencies that resonate, resulting in distinct formants. For example, in the production of the vowel sound 'a' as in 'cat', the first two formants are particularly important. The first formant (F1) corresponds to the height of the tongue, while the second formant (F2) relates to the frontness or backness of the tongue position. By manipulating the tongue's position, speakers can create various vowel sounds that are easily recognizable to listeners. This is why formants are essential in phonetics; they provide a framework for understanding how different sounds are produced and perceived. Moreover, the study of formants extends beyond just vowels. Consonants also have their unique acoustic signatures, but they are often more complex due to the various ways they can be articulated. For instance, the sound 's' has a high-frequency energy concentration, while 'm' has a lower frequency due to the nasal resonance. Understanding these differences involves analyzing the formants associated with each sound, offering insights into the intricacies of human speech. In practical applications, knowledge of formants is invaluable in areas such as speech recognition technology and language learning. For instance, speech recognition systems rely on algorithms that analyze the formants of spoken words to convert them into text accurately. By understanding how formants work, engineers can improve the accuracy of these systems, making them more effective in real-world applications. Additionally, language learners can benefit from recognizing formants in their target language. By training their ears to identify the specific formants associated with different sounds, learners can enhance their pronunciation skills. This awareness allows them to adjust their articulation to better match native speakers, ultimately improving their communication abilities. In conclusion, formants are a fundamental aspect of speech production and perception. They are not only key to understanding how we produce different sounds but also play a vital role in various technological advancements and language acquisition strategies. By delving deeper into the study of formants, we can unlock a better understanding of human communication and its complexities. Whether you are a linguist, a language learner, or simply someone fascinated by the mechanics of speech, grasping the significance of formants will undoubtedly enrich your knowledge and appreciation of language.

理解formants这个概念对于任何对语言学、语音学或语音科学感兴趣的人来说都是至关重要的。Formants是声道的共振频率，它们塑造了我们在说话时所产生的声音。它们在区分不同元音声音方面发挥着重要作用，并且对语音的整体质量有贡献。当我们发音时，声带振动以产生声波，这些声波通过我们复杂的声道结构传播，包括喉咙、嘴巴和鼻腔。这些结构的配置决定了共振的特定频率，从而产生独特的formants。 例如，在发出'cat'中'a'的元音时，前两个formants尤其重要。第一个formant（F1）对应于舌头的高度，而第二个formant（F2）与舌位的前后位置有关。通过操控舌头的位置，发言者可以创造出各种元音声音，听众很容易辨认出来。这就是为什么formants在语音学中至关重要；它们提供了理解不同声音如何产生和感知的框架。 此外，formants的研究不仅限于元音。辅音也有其独特的声学特征，但由于它们的发音方式各异，往往更为复杂。例如，'s'的声音具有高频能量集中，而'm'由于鼻音共鸣而具有较低的频率。理解这些差异需要分析与每种声音相关的formants，从而提供对人类语音复杂性的深入见解。 在实际应用中，了解formants在语音识别技术和语言学习等领域是非常宝贵的。例如，语音识别系统依赖于分析说话单词的formants的算法，以准确地将其转换为文本。通过理解formants的工作原理，工程师可以提高这些系统的准确性，使其在实际应用中更加有效。 此外，语言学习者可以通过识别目标语言中的formants获益匪浅。通过训练耳朵识别与不同声音相关的特定formants，学习者可以增强他们的发音技巧。这种意识使他们能够调整发音，以更好地与母语者匹配，最终提高他们的交流能力。 总之，formants是语音产生和感知的基本方面。它们不仅是理解我们如何产生不同声音的关键，而且在各种技术进步和语言习得策略中发挥着重要作用。通过深入研究formants，我们可以解锁对人类交流及其复杂性的更好理解。无论你是语言学家、语言学习者，还是仅仅对语音机制感兴趣的人，掌握formants的重要性无疑会丰富你的知识和对语言的欣赏。