Description: 用于语音识别，基于HMM模型，用C++语言编写。可用连续语音识别-It is based on HMM Model and developed with C++ which could be used to continuous speech recognition. Platform: |
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Author:吴昊 |
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Description: 基于HMM的语音识别matlab软件，可防止数据溢出等错误-This speech recognition software based on HMM algorithm.It can prevent many errors such as data overflow effectively. Platform: |
Size: 71680 |
Author:吴昊 |
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Description: 语音识别系统，美国cmu大学开发的基于hmm模型的语音识别系统-voice recognition system, developed at the University of the United States cmu hmm model based on the Speech Recognition System Platform: |
Size: 6883328 |
Author:xulianyu |
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Description: 本文在研究基于HMM的语音识别系统的基础上，借鉴语音识别中的一些方法，建立基于HMM的手写数字识别系统，并讨论在两个不同领域的研究中，如何在充分考虑本问题领域特性的基础上，借鉴另一领域的成熟理论和方法，以提高基于HMM的语音识别和文字识别的系统性能。-Based on the research-based HMM Speech Recognition System on the basis of speech recognition from some of the ways, HMM-based handwriting recognition system figures, and discussed in two different areas of study, how to fully consider the characteristics of the area, based on another area from the mature theories and methods, to enhance HMM-based speech recognition and text recognition system performance. Platform: |
Size: 9356288 |
Author:QHLee |
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Description: 本文在研究基于HMM的语音识别系统的基础上，借鉴语音识别中的一些方法，建立基于HMM的手写数字识别系统，并讨论在两个不同领域的研究中，如何在充分考虑本问题领域特性的基础上，借鉴另一领域的成熟理论和方法，以提高基于HMM的语音识别和文字识别的系统性能。-Based on the research-based HMM Speech Recognition System on the basis of speech recognition from some of the ways, HMM-based handwriting recognition system figures, and discussed in two different areas of study, how to fully consider the characteristics of the area, based on another area from the mature theories and methods, to enhance HMM-based speech recognition and text recognition system performance. Platform: |
Size: 3055616 |
Author:QHLee |
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Description: 基于小波包的孤立词语音识别技术，构建了一个关于方向信息的孤立词非特定人语音识别系统。给出了从模型训练到识别的实现过程。-Based on Wavelet Packet isolated word speech recognition technology, to build an information on the direction of non-specific people isolated word speech recognition system. From the model are given training to realize the process of identification. Platform: |
Size: 18776064 |
Author:wangyan |
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Description: 自己编写的语音识别程序-基于隐马尔可夫模型的语音识别-I have written the speech recognition program- Based on Hidden Markov Model Speech Recognition Platform: |
Size: 5120 |
Author:小苗 |
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Description: MATLAB环境下的基于HMM模型的语音识别系统-MATLAB environment model based on HMM Speech Recognition System Platform: |
Size: 209920 |
Author:xiaoyv123 |
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Description: 这个关于语音识别的文章，介绍了HMM模型的参数优化的 问题，以及HMM模型的孤立字识别中的应用。-This article on speech recognition, introduced the HMM model parameter optimization, as well as isolated word HMM model to identify the application. Platform: |
Size: 562176 |
Author: kellan |
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Description: 语音识别程序，基于matlab，程序较为简单，实现基本功能-Speech recognition process, based on matlab, a relatively simple procedure to achieve the basic functions of Platform: |
Size: 56320 |
Author:阿造哥 |
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Description: 一种简单有效的基于动态时变语音识别源码
对于大多数研究者来说,寻找能够匹配二重时间序列信号的最佳途径是很重要的,因为它有许多重要的应用需求.DTW是实现这项工作的显著技术,尤其在语音识别技术领域,在这里一个测试信号被按照参照模板拉伸或压缩,
-Searching for the best path that matches two time-series signals is the main task for many researchers, because of its importance in these applications. Dynamic Time-Warping (DTW) is one of the prominent techniques to accomplish this task, especially in speech recognition systems. DTW is a cost minimisation matching technique, in which a test signal is stretched or compressed according to a reference template.
Although there are other advanced techniques in speech recognition such as the hidden Markov modelling (HMM) and artificial neural network (ANN) techniques, the DTW is widely used in the small-scale embedded-speech recognition systems such as those embedded in cell phones. The reason for this is owing to the simplicity of the hardware implementation of the DTW engine, which makes it suitable for many mobile devices. Additionally, the training procedure in DTW is very simple and fast, as compared with the HMM and ANN rivals.
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Author:宋小小 |
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Description: 基于DSP芯片为控制核心，设计了语音处理系统，有效地解决了高性能与低成本间的矛盾。系统的硬件部分包括数字信号处理芯片、音频CODEC模块、电源模块、滤波电路、JTAG 仿真接口等几大模块，系统的软件部分介绍了语音识别的基本原理,阐述了DSP实现技术，探讨并验证小波变换算法比傅里叶变换算法在提高语音识别系统性能应用中的有效性。该系统资源丰富，电路兼有模拟和数字信号接口，可以作为一个独立的模块应用于其他电路，方便地扩展其应用。-The design of speech process system is based on the DSP chip, which solve the contradiction between high performance and low cost effectively. The part of sampling circuit is composed of Digital signal processing chip, voice-frequency circuit, filtering circuit, simulation of JTAG interface. The part of software introduces the fundamental theory of speech recognition, explaining the DSP realization technology of speech recognition. The system is rich in resources and the circuit provides interfaces with analog and digital signal, and could be taken as an independent module to be used for other electronic circuits, making it convenient to expand its application. Platform: |
Size: 1024 |
Author:风格 |
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Description: ：为了使应力变异在顽健语音识别系统中能够达到较好的识别效果，研究了基于隐马
尔可夫模型(HMM)的自适应技术，提出了将最大后验概率(MAP)和最大似然回归方法(MLLR)用
于应力变异语音的自适应中。实验结果表明，与基本系统相比，两种方法均有效地提高系统识别
率。以SD为初始模型的最大后验概率方法在150个训练样本时识别效果最好，可以达到90．4％ 。-: In order to stress variation in the robustness of speech recognition system can achieve better recognition results, based on Hidden Markov Model (HMM) of adaptive technology, put forward a maximum a posteriori probability (MAP) and Maximum Likelihood regression (MLLR) for the stress of the adaptive variation in voice. The experimental results show that compared with the basic system, both methods are effective to improve the system recognition rate. SD as the initial model to the maximum a posteriori probability method in 150 training samples to identify the best, can reach 90.4 . Platform: |
Size: 234496 |
Author:尹江波 |
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Description: DTW（Dynamic Time Warping，动态时间归整）算法，该算法基于动态规划（DP）的思想，解决了发音长短不一的模板匹配问题，是语音识别中出现较早、较为经典的一种算法。用于孤立词识别，DTW算法与HMM算法在训练阶段需要提供大量的语音数据，通过反复计算才能得到模型参数，而DTW算法的训练中几乎不需要额外的计算。所以在孤立词语音识别中，DTW算法仍然得到广泛的应用。 -DTW (Dynamic Time Warping, dynamic time warping) algorithm based on dynamic programming (DP) ideas, sounds of varying lengths to solve the template matching problem, is speech recognition appeared earlier, more classic kind of algorithm. For isolated word recognition, DTW algorithm and HMM algorithm in the training phase need to provide a large number of voice data, obtained by repeated calculations to model parameters, while the DTW algorithm is almost no additional training calculations. Therefore, in isolated word speech recognition, DTW algorithm is still widely used. Platform: |
Size: 6144 |
Author:fujuan |
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Description: 关于HMM入门、HMM在语音识别中应用的一些经典资料和Matlab实现代码，包含中文资料-Getting Started on the HMM, HMM in speech recognition applications to achieve some of the classic data and Matlab code that contains the Chinese data Platform: |
Size: 5419008 |
Author:刘风 |
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Description: 基于HMM的语音识别系统毕业设计(用matlab7.1版)(Graduation Design of speech recognition system based on hmm) Platform: |
Size: 16557056 |
Author:xyh12345 |
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Search - hmm on speech recognition