ApplicationsandEnhancementsoftheDeepRecurrentNeuralNetworkForSpeechSeparation:深度递归神经网络用于单声道信号源分离和说话人识别

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深度递归神经网络在语音分离中的应用和增强 语音分离实验 培训代码: codes/TSP/train_TSP_demo_mini_clip.m 演示版 在codes/TSP/demo/model.mat找到预训练的模型 在codes/TSP/demo/run_test_single_model.m运行演示代码 依存关系 该软件包基于 该软件依赖Mark Schmidt的软件包进行凸面优化。 此外,我们还包括了用于处理MFCC文件的Mark Hasegawa-Johnson的。 我们将用于计算功能(MFCC,logmel)(HCopy)。 我们使用信号处理功能。 我们使用工具箱版本2.0、3.0进行评估。 处理您的数据: 要尝试对数据进行编码,请参阅mir1k,TSP设置-相应地将数据放入codes/TSP/Data/ 。 调整开发集上的参数并检查结果。 笔记 使用MATLAB

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