Fast Template Matching (FTM) is a very practical, effective realtime speech recognition algorithm, especially suitable for command recognition system.
快速模板匹配(FTM)是一种非常实用高效的实时语音识别算法，尤其适用于命令识别系统。
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。
The results show that the speech recognition algorithm has high recognition rate, can reduce or eliminate noise caused by the training model and the mismatch between the speech test.
结果表明：所设计的语音识别算法有很高的识别率，能减小或者消除噪声所带来的训练模型和测试语音之间的失配。
The mapped algorithm, called the Mahalanobis distance, handles about 50% of its computational load in the overall speech recognition algorithm using a continuous hidden Markov model(CHMM).
将基于连续隐含Markov模型语音识别算法中占系统总运算量的50%以上的Mahalanobis距离 计算，映射为硬件实现的 模块。
A new algorithm of employing the fuzzy neural network is proposed to realize speech data fusion for speech recognition under high noisy condition.
针对高噪音环境中的语音识别问题，提出一种利用模糊神经网络进行语音数据融合的新算法。
This paper proposes an algorithm based on likelihood difference for isolated-word speech recognition system.
本文提出了一种孤立词语音识别系统中基于后验概率差值的拒识算法。
The experiment shows that the MAP algorithm can considerably reduce the error rate of Mandarin digital speech recognition on the adapted speaker and cause little influence on the non-adapted speakers.
实验表明，MAP算法可以有效地降低汉语数码语音识别对被适应人的误识率，而且对非自适应人性能影响很小。
We propose a kind of rule-based Chinese BaseNP recognition algorithm, an extension of part of speech (pos) template algorithm.
提出了一种基于规则的汉语基本名词短语识别算法——基于扩展词性模板算法。
A probability DP matching algorithm was proposed to realize speech speaker recognition and TMS320C5416 was used to realize auto speaker recognition system.
提出了利用概率DP匹配算法进行说话人识别的的设想。并给出了运用TMS320C 5416实现说话人自动识别系统的方案。
Experimental result shows that LOPDI algorithm can greatly increase automatic speech recognition system's robustness against additive noise.
实验表明，LOPDI算法能够显著提高语音识别系统对加性噪声的鲁棒性。
To the problem of lower recognition rate of traditional speech recognition system, this paper presents an improved method based on wavelet transform and evolutionary algorithm.
针对传统语音识别系统识别率较低的问题，提出了一种基于小波变换和进化算法的改进方法。
Experiments show that the proposed algorithm can improve the connected digital speech recognition performance.
实验表明，最终汉语连续数字语音识别率有很大提高。
This paper researches on the algorithm of tone feature extraction and proposes a scheme to apply tone information in mandarin speech recognition system.
文章实现了声调特征提取的算法，并主要研究了如何应用这些特征，才能最大限度地发挥声调信息的作用，提高识别系统的性能。
It generally requires a large number of speech data for a speech recognition system to train HMM by the BW algorithm.
用传统的BW算法训练语音识别系统的H MM需要大量的语音数据。
The experiment shows that the MAP algorithm can considerably reduce the error rate of Mandarin digital speech recognition on the adapted speaker and cause litt...
实验表明，MAP算法可以有效地降低汉语数码语音识别对被适应人的误识率，而且对非自适应人性能影响很小。
For the application of large vocabulary word lists to embedded speech recognition, an efficient two-layer graph search algorithm is proposed.
为了满足超大词表语法的识别任务在嵌入式语音识别系统上的应用，提出了一种高效的双层图搜索算法。
This paper presents a continuous VQ clustering (CVQC) algorithm for realtime speech recognition, which incorporates the temporal information of speech into both training and recognition processes.
本文阐述了一个用于实时语声处理的连续矢量量化聚算法(CVQC)。该算法把语声信息的时变性质用于训练和识别过程。
A novel model-based speaker adaptation algorithm, support speaker weighting(SSW), was proposed for rapid speaker adaptation in speech recognition systems.
针对特征语音说话人自适应算法的缺陷，提出了基于结构化特征语音模型的区别性说话人自适应方法。
A novel model-based speaker adaptation algorithm, support speaker weighting(SSW), was proposed for rapid speaker adaptation in speech recognition systems.
针对特征语音说话人自适应算法的缺陷，提出了基于结构化特征语音模型的区别性说话人自适应方法。
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