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[
Speech/Voice recognition/combine
]
FERETpca
DL : 0
Speech recognition (also known as automatic speech recognition or computer speech recognition) converts spoken words to text. The term "voice recognition" is sometimes used to refer to speech recognition where the recognition system is trained to a particular speaker - as is the case for most desktop recognition software, hence there is an element of speaker recognition, which attempts to identify the person speaking, to better recognize what is being said. Speech recognition is a broad term which means it can recognize almost anybody s speech - such as a call-centre system designed to recognize many voices. Voice recognition is a system trained to a particular user, where it recognizes their speech based on their unique vocal sound.
Update
: 2025-02-17
Size
: 32kb
Publisher
:
Devilly
[
matlab
]
Stewart-91
DL : 0
Tiny Voice—is based on a low-cost, 20-pin single-chip controller. It’s a speaker-dependent, templatebased, isolated-word recognizer. You train it to recognize your voice.
Update
: 2025-02-17
Size
: 81kb
Publisher
:
nss
[
Software Engineering
]
GMM-max-speaker-recognize
DL : 0
GMM/ANN混合说话人辨认模型 基于MATLAB平台的系统设计-GMM/ANN hybrid model speaker identification system design based on MATLAB
Update
: 2025-02-17
Size
: 150kb
Publisher
:
温俊荣
[
MultiLanguage
]
Speech-Recognition-System
DL : 0
本文介绍了基于MATLAB的语音识别系统,包括对语音信号的特征提取,包括语音信号的特征提取,快速傅立叶变换,离散余弦转换,线性预测分析,梅尔频率倒谱系数以及高斯混合模型。-This paper aims at development and performance analysis of a speaker dependent speech recognition system using MATLAB® . The issues that were considered are 1) Can Matlab, be effectively used to complete the aforementioned task, 2) Accuracy of the Gaussian Mixture Model used for parametric modelling, 3) Performance analysis of the system, 4) Performance of the Gaussian Mixture Model as a parametric modelling technique as compared to other modelling technique and 5) Can a Matlab® based Speech recognition system be ported to a real world environment for recording and performing complex voice commands. The aforementioned system is designed to recognize isolated utterances of digits 0-9. The system is developed such that it can easily be extended to multisyllabic words as well.
Update
: 2025-02-17
Size
: 336kb
Publisher
:
Allen
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