a noisy environment for the rapid identification voice endpoint detection algori...

语音识别（Speech Recognition）是让机器通过识别和理解过程把语音信号转变为相应的文本或命令的技术。在课题中，通过采用DTW（Dynamic time warping, 动态时间伸缩）算法，对实现孤立词的识别进行了初步探讨和研究，实现了在MATLAB软件环境下孤立词语的语音识别，并针对DTW的主要特点及不足做出了总结。-Speech Recognition (Speech Recognition) machines is through recognition and understanding of a process which put the voice signal into the corresponding text or command technology. The issue, through the use DTW (Dynamic time warping, dynamic time telescopic) algorithm to achieve an isolated word recognition conducted a preliminary exploration and study, the realization of the MATLAB software environment isolated words of Speech Recognition and DTW against the main features and deficiencies make summarized.

极低功率UHF无线收发器 315/433/868和915MHz ISM/SRD波段系统 AMR-自动仪表读数 电子消费产品 RKE-两路远程无键登录-Very low power UHF wireless transceivers 315/433/868 and 915MHz ISM/SRD band systems AMR-automatic meter reading of consumer electronics products RKE-two-way remote keyless Login

语音识别与合成入门4，word或压缩包中内有matlab源码-speech recognition and synthesis four entry, word or compressed packages within Matlab FOSS

采用MELP编制的压缩与解码程序，在MATLAB环境下可直接运行，语音2.4kb/s-MELP (Mixed-Excitation Linear Predictive) Vocoder is a new 2400 bps Federal standard speech coder. This Matlab code of MELP can run directly in MATLAB condition.

语音识别的经典文献，学习语音识别的朋友抓紧了！-Speech Recognition classic literature, studying voice recognition by grasping a friend!

Hammerstein系统识别，其状态空间子系统包括形成的Hammerstein系统的线性部分。

电话功能及语音信号处理和相关硬件配置源码 drive code for telephone function and sound signal process including related hardware setting-Telephone functions and speech signal processing and related hardware configuration source drive code for telephone function and sound signal process including related hardware setting

线性量化。读取WAV文件，用不同的比特数量化，抽样频率在8khz-Linear quantization. Read WAV files, with different number of bits, the sampling frequency of 8kHz

又下来传一个基音检测的论文,一共4片,包括英文文献!!一起学习-Further down the mass of a pitch detection of the papers, a total of 4, including English literature!! With learning

a little app to turn text to speech