What is the translation of " AUDIO DATA " in Chinese?

Examples of using Audio data in English and their translations into Chinese

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One port is used for audio data, and the other is used for control(RTCP) packets.
一个端口用于音频数据,另一个端口用于控制(RTCP)数据包。
MP4, also known as MPEG4 is mainly a videoformat that is used to store video and audio data.
MP4,也称为MPEG4,主要是用于存储视频和音频数据的视频格式。
The Red Book specifies that the audio data are on the CD in one or more tracks.
红皮书规定,CD上的音频数据存放在一个或多个光道(tracks)上。
Stored audio data does not contain your Google Account ID unless you choose to include it.
存储的音频数据不包括您的Google帐户ID,除非您自己选择存储该信息。
Before the cloud, we relied on hardware in our homes and offices to send andreceive video and audio data.
在云技术出现之前,我们依赖于家里和办公室的硬件来收发视频和音频数据
Preload Audio Data If enabled, the audio clip will be pre-loaded when the scene is loaded.
PreloadAudioData:audioclip将在场景加载的时候直接加载.
The result in y_pred is the probability that the speaker of the audio data described by the features in x is male.
Y_pred的结果是由x中的特征所描述的音频数据的说话人是男性的概率。
The system also captured audio data and text transcripts to analyze the speaker's tone, pitch, energy, and vocabulary.
系统则捕获音频数据和文本转录,从而分析说话者的语气、音调、精力和词汇。
When creating a spectrogram, you can select frequencies to be used,and that will depend on the type of audio data that you have.
创建频谱图时,你可以选择要使用的频率,这取决于你的音频数据类型。
This includes the audio data which means it can split, join, add silence to fill gaps, or remove gaps where necessary.
这包括音频数据,这意味着它可以分割,加入,添加沉默来填补空白,或删除空白领域必要的。
We are also instructing ffmpeg to copy the video and audio data instead of re-encoding them, so nothing gets altered.
我们同时告诉ffmpeg拷贝视频和音频数据,而非重新编码,这样其它任何东西都不会发生变动。
After converting audio data to spectrograms, Google researchers used a ResNet-50architecture for training the model.
在将音频数据转换成时频谱之后,谷歌的研究人员使用了Resnet-50架构来训练这个模型。
It was developed in 1988 based on the IFF format andis a lossless format- audio data is stored in an uncompressed form.
该标准是1988年在IFF格式的基础上制定的,是一种无损格式-音频数据以一种未压缩的形式存储。
The device's audio data interface supports I2S, left-justified, right-justified, and DSP formats.
该器件的音频数据接口支持I2S、左端对齐、右端对齐(left-justified,right-justified)和DSP格式。
When creating a spectrogram, you can select frequencies to be used,and that will depend on the type of audio data that you have.
当你创建光谱图的时候,可以选择要使用的频率,这取决于你所拥有的音频数据的类型。
After converting audio data to spectrograms, Google researchers used a ResNet-50architecture for training the model.
在将音频数据转换成光谱图之后,谷歌的研究人员使用了ResNet-50网络结构来训练这个模型。
Users will also be able to ask,“Hey Google,are you saving my audio data?” to double-check and change their privacy controls.
用户也可以问“嘿Google,您要保存我的音频数据吗?”进一步了解其隐私选项并更改其设置。
You can turn off audio data storage to your Google account or even auto delete data every 3 months or 18 months.
您可以完全切断音频数据存储到您的Google帐户,也可以选择每3或18个月执行一次。
Its neural network,which is trained on thousands of hours labeled audio data, learns to associate sounds with certain words and phrases.
它的神经网络在数千小时的时间标记音频数据,学习将声音与某些单词和词组相关联。
Audio data can be accessed randomly and therefore can be edited non-destructively, that is, the original material is not changed in any way.
音频数据可以随机存取,因此可以非破坏性编辑,即原始材料是不以任何方式改变。
Its neural network,which is trained on thousands of hours labeled audio data, learns to associate sounds with certain words and phrases.
它的神经网络使用数千小时的有标注语音数据训练,学习将声音与特定的词汇和短语对应起来。
You can turn off storing audio data to your Google account completely, or choose to auto-delete data after every 3 months or 18 months.
您可以完全切断音频数据存储到您的Google帐户,也可以选择每3或18个月执行一次。
Strengths: Autoencoders are neural networks, which means they perform well for certain types of data,such as image and audio data.
优点:自编码机是人工神经网络中的一种,这表示它们对某些特定类型的数据表现会非常好,比如图像和语音数据
Then, a second neural network generates audio data and runs it through the first one to see if validates it as belonging to the subject.
然后,第二个神经网络生成音频数据并在第一个网络中运行,以查看是否验证它属于主题。
Soft4Boost Any Audio Record by Sorentio SystemsLtd. is a wonderful way to record audio data going to or coming from your computer.
Soft4BoostAnyAudioRecord官方版是一个美妙的方式来记录音频数据输入或来自你的电脑。
While not appropriate for general-purpose machine learning, deep learning has been dominating certain niches, especially those that use image,text, or audio data.
虽然不适用于传统机器学习,但深度学习已经主导某些特定的领域,特别是那些使用图像、文本或音频数据的领域。
Aside from location data,the letters also want to know about collecting audio data from user conversations, and sharing that data with third parties.
除了位置数据,这些信件还想了解设备如何从用户对话中收集音频数据,并与第三方共享这些数据。
By contrast, some newer interface standards including Universal Serial Bus(USB)and Apple Lightning are able to transmit digital audio data.
相比之下,包括通用串行总线(USB)和AppleLightning在内的一些较新的接口标准能够传输数字音频数据
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