A speech quality evaluation algorithm based on efficient psychoacoustics model,EPM-SQE,was proposed.
提
了一种高效心理声学模型语音质量评价(EPM-SQE)算法。
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While we humans make predictions based on obvious root causes (strong features), AI algorithms can process thousands of weakly correlated variables (weak features) that may have much more to do with a given outcome than the usual suspects.
人类基于明确的根源(强特征)做出
,
AI 算法则可以处理数以千计的弱相关变量(弱特征),这些变量与既定结果之间的关系可能比通常的猜
要更紧密。