人类语音 英语是什么意思 - 英语翻译

• human speech
• human voice

在 中文 中使用 人类语音 的示例及其翻译为 英语

人类语音识别的新发现.
New findings on human speech recognition.

年首次人类语音的无线电发射。
The first radio transmission of human voice occurred in 1902.

大多数人类语音也分布在3kHz左右的带宽内。
Most human speech sounds are also distributed in the bandwidth around 3 kHz.

语音识别：自动并准确转录人类语音的能力.
Speech recognition: The ability to automatically and accurately transcribe human speech.

例如，如果你使用的是人类语音数据，那么第一选择应该是梅尔倒频谱。
For example, if you are working with human speech data, then your first choice should be a mel-frequency cepstrum spectrogram.

例如，诸如此类的系统可以学习转录人类语音或在不同照片中识别人的面部。
A system such as this can learn, for example, to transcribe human speech or recognise a person's face in different photographs.

通过了解人类语音请求，AI技术正在改变我们与机器交互的方式。
By understanding human voice requests, AI technology is changing the way we interact with machines.

也是在今年秋天，微软公布了一个可以转录人类语音的系统，相比专业的速记员它的准确度高的多。
Also this fall, Microsoft unveiled a system that can transcribe human speech with greater accuracy than professional stenographers.

有时候会使用人类语音，其他时候客户只会看到一张图片。
Sometimes a human voice is used, but in other times there is only an image for the customer to see.

例如如果你正在处理的是人类语音数据，那幺你首选的就应该是梅尔频率倒谱系数了。
For example, if you are working with human speech data, then your first choice should be a mel-frequency cepstrum spectrogram.

该公司曾经开设了一个自动化的助理服务，事实证明，这是他们收集人类语音数据的一种方式。
The company once opened an automated directory assistance service which, it turned out, was primarily a way for them to gather human voice data.

教计算机识别图像或人类语音之类的人工智能任务急需庞大的数据和计算能力。
Artificial intelligence tasks like teaching computers to recognise images or human speech require vast amounts of data and computing power.

这些智能程序能够识别人类语音模式，并以用户喜欢的任何语言进行响应。
These intelligent programs are able to recognize human speech patterns and respond in any language the user prefers.

教计算机识别图像或人类语音之类的人工智能任务急需庞大的数据和计算能力。
Artificial intelligence tasks such as computer recognition of images or human speech are in great need of vast data and computing power.

例如，这样的一个系统可以学会转录人类语音和在不同的照片中认出某个面孔。
A system such as this can learn, for example, to transcribe human speech or recognise a person's face in different photographs.

比如，现在的计算机已经可以比人类更好地转录人类语音。
Like, now workstations are capable of transcribing human speech wat much better than people.

我们让系统发现这些规则“为了它自己从数千小时的人类语音数据转录。
We let the system discover these“rules” for itself from thousands of hours of transcribed human speech data.

在最近的一项研究中，来自德累斯顿的神经科学家和她的团队发现了人类语音处理之谜的另一个组成部分。
In a recent study, the neuroscientist from Dresden and her team discovered another building block in the mystery of human speech processing.

然后，由模型提取的特征将用于训练ANN以识别人类语音。
The features extracted by the model are then used to train the ANN to recognize human speech.

研究人员在一系列人类语音音频片段上测试了他们的系统，并将其与更传统的语音识别技术进行了比较。
The researchers tested their system on a series of human speech audio clips and compared it with more conventional speech recognition techniques.

为了覆盖各种人类语音，我们首先在录音棚中记录了10-20小时的语音。
In order to cover some of the vast variety of human speech, we first need to record 10- 20 hours of speech in a professional studio.

通过分析人类语音的音频文件，这些工具可以学习识别不同语言的单词和短语，并将其转换为机器可读格式….
By analyzing audio files of human speech, these tools can learn to identify words and phrases in different languages, converting them into a machine-readable format.

但对于语音识别，16khz(每秒16000个采样)的采样率就足以覆盖人类语音的频率范围了。
But for speech recognition, a sampling rate of 16khz(16,000 samples per second) is enough to cover the frequency range of human speech.

像这样的难题将会成倍地增加我们进入恐怖谷的次数，在那里，自动语音可以作为人类语音传递。
Puzzles such as this will multiply the number of times we enter the horror valley, where automatic speech can be transmitted as human voice.”.

人类语音的压缩经常使用更加专业的技术，因此人们有时也將“语音压缩”或者“语音编码”作为一个独立的研究领域与“音频压缩”区分开来。
Compression of human speech is often performed with even more specialized techniques; speech coding, or voice coding, is sometimes distinguished as a separate discipline from audio compression.

一种新的设计科学正在成型，其目标是构建出被称为“交谈代理”的软件程序，能够理解自然语言和语音，并对人类语音命令做出反应。
A new design science is emerging in building"conversational agents," software programmes that understand natural language and speech and can respond to human voice commands.

目前，人工智能最具挑战性的方面之一是自然语言处理（NLP）：构建模拟人类语音的聊天机器人和机器翻译功能。
Right now, one of the most challenging aspects of A.I. is Natural Language Processing(NLP): building chatbots and machine translation capabilities that mimic human speech.

包含了用于工业级NLP库的包装器，通过构建复杂的系统，以协助进行文本分类，并查找人类语音的行为趋势和模式。
Contains wrappers for industrial-level NLP libraries to build convoluted systems that help in text classification and finding behavioral trends and patterns in human speech.

比如，现在的计算机已经可以比人类更好地转录人类语音。
For example, now computers are able to transcribe human speech better than humans.

与NLP类似，NLU使用算法将人类语音转化为结构化本体。
Similarly to NLP, NLU uses algorithms to reduce human speech into a structured ontology.