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最终代码说话人识别

于 2019-05-20 发布 文件大小:6KB
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  实现了基于特定话语的聚类LGB和VQ的说话人识别(Speaker Recognition Based on Clustering LGB and VQ)

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    一种加权K近邻语音情感识别程序,包括部分柏林语音情感库(A Weighting K-nearest neighbor speech emotion recognition program, including some libraries Berlin Speech Emotion)
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    在提供音频的情况下,利用双音多频确定拨号音。(In the provision of audio cases, the use of dual-tone multi-frequency determine the dial tone.)
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    在evmdm642平台下的一个语音采集-回放任务,用48K/秒的采样率采集立体声音频输入,用给定的FIR 滤波参数处理数据后再播放出来。注:内附个人整理的详细操作文档。(evmdm642 platform in a speech to the gathering-intervals task with 48 K/s sampling rate Acquisition stereo audio input, used to the FIR filter parameters for data processing later. Note : with a detailed personal finishing operations documentation.)
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    语音识别需要用到的函数,在你的程序中可直接调用工具箱中的函数(Needed by the voice recognition function in your program can directly call the functions in the toolbox)
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    Active Feedforward Narrowband Noise Cancellation using Matlab and Simulink
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