These grammars are active in the recognition engine and define the set of words the engine returns to the application (the voice browser) when the audio is decoded and analyzed.
这些语法在识别引擎中是活动的，它们定义当对音频进行了解码和分析后该引擎返回给应用程序的词集。
It includes audio dialogs that feature synthesized speech, digitized audio, recognition of spoken and telephone tone dialing input, and recording of spoken input.
它包含的音频对话框具有以下特点：语音合成、数字音频、声音识别和电话音质拨号输入和话音输入录制。
The technology for converting the audio tracks of video via speech recognition to plain text indexed to time-code has been around for a while.
其实，把视频里的音轨用语音识别转化成文字索引并时间编码的技术已经有了。
Fast Fourier transforms, sliding percentage Windows, and some Linux audio programming can give you tonal-recognition capabilities with your language of choice.
快速傅立叶变换、滑动窗口和某些Linux音频编程可以为您提供符合您所选语言的音调识别能力。
Always, the processing of the audio frequency signal is mainly concentrated on speech processing, such as speech recognition and talks identify etc.
一直以来，音频信号的处理主要集中于语音识别、说话者识别等语音处理方面的研究。
The audio signal feature, in this scheme, is the LPC Mel Cepstrum Coefficient (LPCMCC) and recognition algorithm is Dynamic Time Warping (DTW).
系统提取的音频信号特征为线性预测美尔倒谱系数（LPCMCC），采用动态时间规整（DTW）的识别算法。
By integrating matured speech recognition, speaker recognition and audio indexing techniques, this system is specialized for indexing and searching in broadcast and TV programs.
它集成了成熟的语音识别、说话人识别、固定音频检索等技术，对广播电视节目进行内容检索。
Audio experiment results show that tri-phone HMM has higher word recognition rates than monophone HMM.
音频流识别实验表明，三音素HMM模型词识别率明显高于单音素HMM；
A real time, multichannel, humanoid robot ready noise reduction method makes practical precise audio classification and speech recognition possible.
用于人形机器人的实时多通道降噪方法使机器人能够在实际应用中精确地进行后续的音频分类或语音识别。
Audio pervades the space; in time it deteriorates beyond our recognition, but continues to be present.
音频弥漫在空间里，同时它使我们的认识面目全非，但是它依然存在。
Speech recognition is another example of this, where the input is an audio clip and the output is a transcription of what was said.
语音识别是另外一个例子，其中输入的是音频片段，输出的是说话内容的文本。
The findings show that the audio and video information can be combined using a rule-based system to improve the recognition rate.
实验结果说明基于视觉和听觉的多模态识别算法能提高计算机对人的情感识别率。
Based on creating recognition algorithm of audio frequency and video frequency, the recognition method in accordance with HMM is constructed.
在建立音、视频识别算法的基础上，构造出符合HMM的识别方法。
The study focuses on environmental sounds recognition after the monitoring center receiving audio data from the sea. First a brief introduction is given to sound propagation and detection process.
课题研究内容主要是对于已经接收到监控中心的海上音频数据进行识别，首先介绍了声音传播和检测过程及其对后续处理的影响；
The system can realize fire recognition, target location, onsite audio and video data collection, and information exchange.
该系统能够实现火灾识别、目标定位、现场视音频采集，以及各种信息交互等功能。
A set of bar code detection and recognition system detects magnetic tapes strictly as well as can search data, video or audio programs on magnetic tape.
通过一套条码检测和识别系统，对磁带严格检测，同时可以对磁带 上的数据或视频、音频节目检索；
The experiments also show that the audio-visual continuous speech recognition system is robust in noisy environments.
基于特征口形的音频-视频混合连续语音识别系统具有很好的抗噪性。
Lip is one of the most important facial features, and plays key roles in a variety of fields such as audio-visual speech, authentication, lip synchronization, face recognition, etc.
嘴唇是人脸特征的重要组成部分，在音视频识别、认证、嘴唇同步、人脸识别等方面都很重要。
However, audio-recognition system only USES the audio information of speech, and ignores the visual features of it. Under the noise circumstance, the recognition rate declines so much.
但语音识别系统忽略语言的视觉特性，仅仅利用听觉特性，使得语音识别系统在噪声环境下，识别率大大下降。
Nowadays , there emerge different kinds of audio-recognition system, which have quite high recognition performance.
现在出现了许许多多的语音识别系统，而且也取得了不错的识别效果。
The main works in this thesis as follow: 1 the basic knowledge of audio-visual speech recognition is studied, and the design is proposed for audio-visual vehicle control simulation system.
本文主要工作如下：(1)论述了双模态语音识别基本原理及相关技术，并提出了双模态车载语音控制仿真系统的设计方案。
So lip-reading is a good choice to overcome the disadvantage of audio-recognition system under the noise background.
所以要克服语音识别系统的弱点，利用唇语是一个不错的解决方法。
The experiments also show that the audio-visual continuous speech recognition system is…
基于特征口形的音频-视频混合连续语音识别系统具有很好的抗噪性。
The experiments also show that the audio-visual continuous speech recognition system is…
基于特征口形的音频-视频混合连续语音识别系统具有很好的抗噪性。
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