Only recently, for example, has continuous speech recognition for dictation become available.
的连续语音识别直到最近才变得实用。
This paper presents an audiovisual continuous speech recognition system for noise environments.
识别实验表明，文中建立的音频视频连续语音识别系统具有很好的抗噪性。
The system employs large vocabulary continuous speech recognition engine in front speech input end.
系统中的语音识别引擎使用的是大词汇量连续语音识别技术。
At present, Chinese continuous speech recognition has got a good performance in pure speech environment.
目前，汉语连续语音识别在纯净语音环境下，已经取得了较好的识别效果。
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。
So continuous speech recognition in noisy environment is always the hot spot and the difficult spot of the speech signal research.
因此带噪环境的连续语音识别一直是当前语音信号研究的热点和难点。
Large vocabulary continuous speech recognition system consists of several components, and recognition errors are caused by different factors.
大词表连续语音识别系统由多个组件构成，识别错误受多种因素的影响。
In this paper, error tolerant techniques are studied for large vocabulary speaker independent Chinese continuous speech recognition and understanding systems.
本文研究了大词汇量非特定人汉语连续语音识别和理解系统中的容错技术。
This paper raised a method of pattern recognition, it can be used to the continuous speech recognition with reference, text understanding and data file analysis.
提出一种模式识别方法，它能有效地用于有监督的连续语音识别、文稿理解和数据文件分析。
Using different feature vectors, the effect of the vocoders differs on speaker dependent continuous speech recognition and speaker independent connected digits recognition.
对于特定人连续语音识别系统和非特定人连接词识别系统，在使用不同的特征矢量时，不同编码器产生的识别效果有比较大的差异。
After an overview of phrase recognition, this paper proposes a Chinese phrase recognition method based on continuous speech recognition algorithm and phrase-tree constraint.
本文在简单介绍词组语音识别之后给出了一个基于连续语音识别算法和词树约束的汉语词组语音识别方法。
Large vocabulary continuous speech recognition is main direction of speech recognition research at present, in which the research on particularity of tone recognition is an important work.
大词汇连续语音识别是当前语音识别研究的主流，探讨其中声调识别的特殊性是一项有意义的工作。
A whole continuous speech recognition system includes four parts: feature extraction, acoustic model, language models and search algorithms, and the thesis is carried out according to them.
完整的连续语音识别系统主要包括四个部分：特征提取，声学模型，语言模型和搜索算法，本文就是根据这四个部分展开的。
Continuous speech recognition and automatic speech translation are important subjects. In this paper, our results on these topics are introduced.
本文介绍了在连续语音识别和语音机器翻译方面所进行的工作。
The first "Speaker-Independent Continuous Speech Recognition" system in the world developed by him was awarded the "Most Important Innovation of 1988" by Business Week magazine.
他曾开发出世界上第一个“非特定人连续语音识别系统”，并被《商业周刊》1988年授予 “最重要科学创新奖”。
Although this so-called continuous speech-recognition approach has indeed improved accuracy, it is by no means infallible.
虽然这种被称作连续性语言识别方法确实提高了精度，但毫无疑问它也会犯错误。
Although this so-called continuous speech-recognition approach has indeed improved accuracy, it is by no means infallible.
虽然这种被称作连续性语言识别方法确实提高了精度，但毫无疑问它也会犯错误。
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