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语音数据性能检测工具

实现功能

1.支持各种评估指标

  1. SDR: Source-to-Distortion Ratio, 信号失真比

  2. SIR: Source to Interferences Ratio, 源信号干扰比

  3. SAR: Signal to Artifacts Ratio, 人造误差成分

  4. STOI: Short-Time Objective Intelligibility, 短时客观可懂度

  5. PESQ: Perceptual evaluation of speech quality, 感知语音质量评估

  6. SI-SNR: Scale-invariant source-to-noise ratio, 尺度不变信噪比

2.支持单个样本输入，也支持minibatch格式样本的输入

单样本 [C, T]

minibatch [B, C, T]

注:B batch; C channel; T length of audio

3.支持自动纠正输入信号与参考信号的计算排序，所利用的排序规则是最大化SI-SNR。有时候估计信号和参考通道间的排序是反的，本脚本可自动纠正。

输入格式

single sample:

Args:
	estimate:   numpy.ndarray, [C, T], reordered by best PIT permutation
	
	reference:  numpy.ndarray, [C, T]
	
	mixture:    numpy.ndarray, [T] or [C, T]
	
Returns:

	average_SDRi 
	
	average_SIRi
	
	average_SIRi
	
	average_STOIi
	
	average_PESQi
	
	average_SISNRi

minibatch:

Args:
	estimate:   numpy.ndarray, [B, C, T], reordered by best PIT permutation
	
	reference:  numpy.ndarray, [B, C, T]
	
	mixture:    numpy.ndarray, [B, T] or [B, C, T]
	
Returns:
	average_SDRi
	
	average_SIRi
	
	average_SIRi
	
	average_STOIi
	
	average_PESQi
	
	average_SISNRi

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