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MSR-Identity-Toolkit-v1.0

于 2015-04-03 发布 文件大小:2380KB
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下载积分: 1 下载次数: 198

代码说明:

  微软研究院的说话人识别工具包,包括GMM-UBM、I-Vector。其中demo_gmm_ubm_artificial.m和demo_ivector_plda_artificial.m为生成模拟特征参数进行训练与识别的教学示例,十分适合初学者学习说话人识别基础算法。具体使用方法请看内部文档。(Microsoft Research s speaker recognition toolkit, including GMM-UBM, I-Vector. Demo_gmm_ubm_artificial.m and demo_ivector_plda_artificial.m which generates an analog characteristic parameters for example teaching training and recognition, very suitable for beginners to learn the basic algorithm for speaker recognition. See the specific use of internal documents.)

文件列表:

MSR Identity Toolkit v1.0
.........................\code
.........................\....\cmvn.m,720,2013-10-15
.........................\....\compute_bw_stats.m,2963,2013-10-15
.........................\....\compute_eer.m,3030,2013-10-15
.........................\....\demo_gmm_ubm.m,3260,2013-10-15
.........................\....\demo_gmm_ubm_artificial.m,4339,2013-10-15
.........................\....\demo_ivector_plda.m,5370,2013-10-15
.........................\....\demo_ivector_plda_artificial.m,5812,2013-10-15
.........................\....\extract_ivector.m,2421,2013-08-16
.........................\....\fea_warping.m,1557,2013-10-15
.........................\....\gmm_em.m,6148,2015-03-24
.........................\....\gplda_em.m,5108,2013-10-15
.........................\....\hamming.m,223,2013-10-15
.........................\....\htkread.m,603,2013-10-15
.........................\....\htkwrite.m,534,2013-10-15
.........................\....\lda.m,2068,2013-10-15
.........................\....\length_norm.m,428,2013-10-15
.........................\....\mapAdapt.m,4930,2013-10-15
.........................\....\rm_dc_n_dither.m,498,2013-10-15
.........................\....\score_gmm_trials.m,2567,2013-10-15
.........................\....\score_gplda_trials.m,2118,2013-10-15
.........................\....\train_tv_space.m,5639,2013-10-15
.........................\....\wcmvn.m,1856,2013-10-15
.........................\doc
.........................\...\MSR Identity Toolbox.docx,1082656,2013-10-11
.........................\...\MSR Identity Toolbox.pdf,1276208,2013-10-15
.........................\MSR-LA No distrib-OK to modify.docx,24404,2013-10-15
.........................\MSR-LA No distrib-OK to modify.pdf,159491,2013-10-15
.........................\MSR-LA No distrib-OK to modify.txt,5808,2013-10-15

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  • specsub_modified11
    语音唤醒就是在设备待机状态下,用户说出特定的语音指令(唤醒词)使设备进入工作状态或完成某一操作。设备为了实现语音唤醒功能,就需要设备实时监听,也就是实时的录音并分析有没有唤醒词来唤醒设备。评价一个语音唤醒系统的标准有三个:唤醒正确率、误报率、功耗。一般情况下,唤醒正确率越高 ,误报率也越高。好的系统就需要唤醒率高,误报率低,功耗低。(Speech wakeup is when the device is in standby mode, the user speaks a particular voice command (wake up word), so that the device enters the work state or completes an operation. In order to realize the function of speech wakeup, the device needs real-time monitoring, that is, real-time recording and analyzing whether or not wake words are used to wake up the equipment. There are three criteria for evaluating a voice wakeup system: wakeup accuracy, false positive rate, and power consumption. Generally, the higher the correct rate of arousal, the higher the false positive rate. A good system requires high wake-up rate, low false positive rate and low power consumption.)
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  • reading
    对于初学者来说是一个很好的用的阅读文件,希望在数据库方面好好的阅读,(It is a good reading document for beginners. I hope to read it well in the database.)
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