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[matlabHTK-3.3

Description: Hidden Markov Toolkit (HTK) 3.2.1 HTK is a toolkit for use in research into automatic speech recognition and has been developed by the Speech Vision Robotics Group at the Cambridge University Engineering Department (http://svr-www.eng.cam.ac.uk) and Entropic Ltd (http://www.entropic.com).-Hidden Markov Toolkit (HTK) 3.2.1 HTK is a t OOLKIT for use in research into automatic speec h recognition and has been developed by the Spee ch Vision Robotics Group at the Cambridge Korea adequate Engineering Department (http :// SVR- www.eng.cam.ac.uk) and Entropic Ltd. (h Miller :// www.entropic.com).
Platform: | Size: 2229248 | Author: mesu | Hits:

[Voice CompressSampling.and.Quantization

Description: Speech Quantization_Compare SNRs of speech cs5 with mu-law companding and uniform quantization -Speech Quantization_Compare remnants of spee ch cs5 with mu-law companding and uniform quant ization
Platform: | Size: 865280 | Author: 游辉章 | Hits:

[Speech/Voice recognition/combinevad

Description: 语音信号的端点检测matlab程序,利用短时平均能量和短时平均过零率判断语音端点的起始。还有语音信号信噪比的计算程序。-Endpoint detection of speech signal matlab procedures, take advantage of short-time energy and short-time average zero-crossing rate of the average voice activity to determine the start. There are voice signal SNR calculation procedures.
Platform: | Size: 1024 | Author: 高金枝 | Hits:

[Speech/Voice recognition/combinematlab[speech_toolboxes(1)]

Description: matlab语音信号处理工具箱[speech_toolboxes(1)]-matlab speech signal processing toolbox [speech_toolboxes (1)]
Platform: | Size: 872448 | Author: chenjie | Hits:

[Communication-MobileGMM

Description: 使用GMM模式建立的语音识别系统,matlab源代码,供大家参考!-GMM model using the speech recognition system, matlab source code for your reference!
Platform: | Size: 1024 | Author: 王良 | Hits:

[Software EngineeringStudy-of-Improved-BP-Neural-Network-on-Rotor-Spee

Description: In this paper three different methods such as GDM AGDM and modified PSO are adopted to optimize the neural networks, and simulate the DTC system with MATLAB/SIMULINK. The result shows: modified PSO algorithm can solve the problem of neural networks better. It increases the convergence rate, enhance the precision, and avoid the local minimum
Platform: | Size: 149504 | Author: samir | Hits:

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