Description: 这是一个基于C++的语音识别系统,包括语音输入,识别,输出等功能-This is a C-based speech recognition systems, including voice input and recognition, output function Platform: |
Size: 91136 |
Author:付大大 |
Hits:
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 |
Hits:
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 |
Hits:
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 |
Hits:
Description: 基于隐马尔科夫的语音识别及语音合成，包括两个处理过程，训练过程和识别过程-Hidden Markov based speech recognition and speech synthesis, including the two deal with the process, training process and the recognition process Platform: |
Size: 2319360 |
Author:李秀环 |
Hits:
Description: Hidden_Markov_model_for_automatic_speech_recognition
This code implements in C++ a basic left-right hidden Markov model
and corresponding Baum-Welch (ML) training algorithm. It is meant as
an example of the HMM algorithms described by L.Rabiner (1) and
others. Serious students are directed to the sources listed below for
a theoretical description of the algorithm. KF Lee (2) offers an
especially good tutorial of how to build a speech recognition system
using hidden Markov models. Platform: |
Size: 23552 |
Author: |
Hits:
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 |
Hits:
Description: 基于HMM的语音识别的一些资料，用matlab实现。希望对大家有帮助-HMM-based speech recognition of some of the information, using matlab realize. Hope everyone has to help Platform: |
Size: 202752 |
Author:黄卓芬 |
Hits:
Description: 基于HMM的语音识别的资料，希望对大家有所帮助。-HMM-based speech recognition information, and they hope to be helpful to everyone. Platform: |
Size: 23016448 |
Author:黄卓芬 |
Hits:
Description: 基于HMM的语音识别的资料，希望对大家有所帮助。-HMM-based speech recognition information, and they hope to be helpful to everyone. Platform: |
Size: 448512 |
Author:黄卓芬 |
Hits:
Description: 基于HMM的语音识别的资料，希望对大家有所帮助。-HMM-based speech recognition information, and they hope to be helpful to everyone. Platform: |
Size: 158720 |
Author:黄卓芬 |
Hits:
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 |
Hits:
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 |
Hits:
Description: 基于HMM的语音识别程序 很完整详细 里面包括10几个独立的小程序-HMM-based speech recognition procedures are complete details of which includes 10 small program that several independent Platform: |
Size: 770048 |
Author:王强 |
Hits:
Search - hmm based speech recognition