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语音识别芯片资料
产品介绍
应用于消费类电子产品上的交互式语音集成芯片(RSC-100/164T,RSC-300/364,RSC4XX)是一种高性能、低成本的8位MCU,所有这类芯片内部集成有ADC、DAC、ROM(除了RSC-100/300)、RAM和麦克风的预放大电路,并拥有以下多种功能:与说话者无关/有关的语音识别、语音确认(PASSWORD)、语音和音乐合成,录音和回放、快速数字拨号(只有RSC-300/364)、持续监听。
产品线有两种通用目的的微处理器(RSC系列)
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Electronic industry now growing towards the automation of everything, It includes development of Touch screen Interface Voice Recognition etc. These are leads to a world in which almost all electronic systems are capable of working in response with h
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采用不同样本进行语音特征提取,来实现不同说话人身份的识别-Different samples of voice feature extraction to achieve recognition of different identities speaker
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vq矢量量化,对说话人进行识别,内置有语音样本,识别率高达90 。对语音信号进行读取,预处理,特征参数提取,向量量,训练,对比识别。-vq vector quantization for speaker identification, built-in voice samples, the recognition rate of 90 . Read the speech signal, preprocessing, feature extraction, the amount of vector
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Voice recognition speaker system including such technics as MFCC, VQLBG
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语音信号处理,均衡播放,说话者语音识别,加速播放以及回音音效-Speech signal processing, balanced play, speaker voice recognition, accelerated playback as well as echo sound
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FEATURE EXTRACTION USING MFCC:Mel Frequency Ceptral Coefficient is a very common and efficient technique for signal processing. This
paper presents a new purpose of working with MFCC by using it for Hand gesture recognition. The
objective of usin
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用MATLAB实现说话人语音识别功能设计过程采用fft变化以及滤波器除噪-Using MATLAB speaker voice recognition feature of the design process and filter change using fft coring
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从说话人的语音信号中提取说话人的个性特征是声纹识别的关键。主要介绍语音信号特征提取方法中的Mel倒谱系数-从说话人的语音信号中提取说话人的个性特征是声纹识别的关键。主要介绍语音信号特征提取方法中的Mel倒谱系数
Extraction of speaker characteristic the voice signal is the key of voiceprint recognition. Mel frequency coefficients of the feature extr
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摘 要:本论文主要研究了语音识别的基本原理,对语音识别系统的构成进行分析处理,其中包括预处理、特征参数提取、建立模块库、识别匹配几大部分。预处理又包括语音采样、预加重、加窗(汉明窗)、端点检测;特征提取的参数是梅尔频率倒谱系数MFCC。
该语音系统采用的是动态时间伸缩算法(DTW),研究对象是特定人的语音识别,并在MATLAB平台上实现。为了进行后续研究,首先使用电脑中的录音系统录制了阿拉伯数字0—9的语音文件,并转化成 “.wav”格式的文件。-Abstract: This thesis
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声纹识别系统,顾名思义就是能够通过说话人的声音特点来判断说话人的一个系统。(Voiceprint recognition system, as the name suggests is to a system by the sound characteristics of speaker to judge the speaker.)
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基于语音识别的智能家居控制,蛀牙功能是用respeaker平台进行说话人语音的翻译。(Based on the intelligent home control of speech recognition, the function of tooth decay is to use the respeaker platform to translate the speaker's voice.)
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