Sphinx and specifically the Sphinx-4 package delivers all the options we need to reliably recognize a very small ( yet useful) vocabulary in a speaker-independent context. Sphinx特别是Sphinx-4包提供了所有必需选项,可以在与说话者不相关的环境中可靠识别非常小(但仍然有用)的词汇表。
Speech recognition is a technology that always seems two to10 years away from speaker-independent recognition of a large vocabulary. 要实现与说话者不相关的大型词汇表识别,语言识别技术还要2到10年的路要走。
Strategy for extracting letters and numbers from speaker-independent voices 从与说话者无关的语音中提取字母和数字的策略
Research of Small Vocabulary, Speaker-independent Chinese Keyword Spotting Algorithm 汉语小词汇量非特定人关键词检出算法研究
Study of speaker-independent tone recognition based on support vector machine 基于SVM的非特定人声调识别的研究
Prior to speaker-independent speech recognition, users had to train the software to recognize their utterances. 在使用独立于讲话者的语音识别功能之前,用户必须训练软件来识别他们的讲话方式。
In speaker-independent speech recognition, between-speaker variability is one of the major resources of recognition errors. 在非特定语者语音辨识中,语者特性的差异可说是引起辨识错误的主要原因之一。
Prior to his position at Apple, he was an assistant professor at Carnegie Mellon University, where he developed the world's first speaker-independent continuous speech-recognition system. 在加入苹果公司之前,李开复博士是卡内基梅隆大学的助理教授,他开发出了世界上第一个“非特定人连续语音识别”系统。
Embedded Implementation of HMM Speaker-Independent Continuous Speech Recognition System HMM非特定人连续语音识别的嵌入式实现
Speaker-Independent compound vowels recognition using Neutral Network and phonetic knowledge 利用语音学知识和神经网络识别非特定人的复合元音
On Chip Realization of HMM Speaker-independent Isolated Word Speech Recognizer HMM非特定人孤立词语音识别系统的片上实现
Research and Realization of Speaker-Independent Speech Recognition System based on DSP 基于DSP的非特定人语音识别系统
Study of self-learning and speaker-independent speech recognition based on neural networks 基于神经网络的自学习非特定人语音识别研究
Now research on voice recognition turns to large vocabulary speaker-independent continuous speech recognition and natural language understanding. 语音识别研究也转向了大词汇非认人连续语音识别和自然语言理解。
Speaker-Independent Chinese Phrase Recognition System Based on Neural Prediction Model 基于神经预测模型的非特定人汉语词组识别系统
Research on an Algorithm of Phoneme based Speaker-independent English Commands Recognition 基于音素的非特定人英语命令词识别算法研究
Chinese voice recognition of speaker-independent in a neural network model is described in this paper. 本文论述了基于神经网络模型的非特定人汉语语音识别。
A speaker-independent phrase recognition system is developed. 本文提出了神经预测模型的简单训练算法和识别算法,基于这种模型建立了一个非特定人的汉语词组识别系统。
Speaker-independent continuous speech recognition based on the biomimetic pattern recognition 基于仿生模式识别的非特定人连续语音识别的研究
Based on this ideal model a Voice Secretary System realized speaker-independent voice interaction successfully, and it shows this model is effective and reasonable. 基于该模型的语音秘书系统成功地实现了说话者独立的语音交互,系统的可靠运行说明该模型是有效的、合理的。
Comparison of Biomimetic Pattern Recognition, HMM and DTW for Speaker-Independent Speech Recognition 多权值神经元网络仿生模式识别方法在低训练样本数量非特定人语音识别中与HMM及DTW的比较研究
Application of Speaker-independent Speech Recognition in Embedded Systems 小词汇量非特定人语音识别在嵌入式系统中的应用
Using the proposed method, a 333% reduction in word error rate is obtained relative to conventional HMM system for a speaker-independent, small vocabulary recognition task. 使用所提出的方法对不特定话者小词表进行实验,其系统误识率与基本HMM系统相比下降了333%。
Compared with the dynamic time warping ( DTW), the improved HMM algorithm has a better recognition performance in speaker-independent speech recognition. 通过与DTW算法的对比,证明了改进的HMM算法在非特定人语音识别中的良好效果。
We have recorded a mandarin emotional speech database containing speaker-independent and speaker-dependent emotional speech. 首先我们建立了汉语情感语音数据库,其中包括了说话人无关和说话人有关的情感语音。
With the rapid development of computer technology, isolated word speech recognition system has been implemented with a higher recognition accuracy. Speaker-independent large vocabulary continuous speech recognition technology is current hotspot. 随着近代计算机技术的飞速发展,孤立词语音识别系统已经取得了较高的识别准确率,非特定人、大词表连续语音识别技术成为当前的研究热点。
For speaker-independent speech recognition, HMM-based mainstream identification methods is used in this paper, the specific issues of continuous HMM applied to speech recognition are also discussed. 但是对于非特定人识别,本文选用主流的基于HMM的识别方法,并仔细探讨了CHMM应用到语音识别中的具体问题。
In this paper, Chinese language speaker-independent continuous speech recognition technology got deep, systematic study, and on this basis, I realize an independent continuous speech recognition system. 该文对汉语非特定人连续语音识别的相关技术作了深入、系统的研究,并在此基础上实现了汉语非特定人连续语音识别系统。
In this paper, the technique of small-vocabulary speaker-independent isolated-word speech recognition is analyzed and researched. Firstly, this paper focuses on the introduction of the fundamentals of speech recognition. 本文对小词汇量、非特定人的汉语孤立词的语音识别技术进行了分析和研究。