多对一离散听觉变换
A Many to One Discrete Auditory Transform
AI总结：
提出一种多对一离散听觉变换，将声音信号映射到人类听觉滤波器带宽（临界频带）尺度上的感知有意义频谱，并构造闭式广义逆以保持频带能量和信噪比，实现实时正逆变换。
摘要：
提出一种多对一离散听觉变换，将声音信号映射到人类听觉滤波器带宽（临界频带）尺度上的感知有意义频谱。构造了闭式解析形式的广义逆，保持输入声音信号的频带能量和频带信噪比。正向和逆向变换均可实时实现。对语音和音乐片段的实验表明，逆变换产生的听觉等效声音在数学上虽与输入不同，但在感知上等价。
英文摘要：
A many to one discrete auditory transform is presented to map a sound signal to a perceptually meaningful spectrum on the scale of human auditory filter band widths (critical bands). A generalized inverse is constructed in closed analytical form, preserving the band energy and band signal to noise ratio of the input sound signal. The forward and inverse transforms can be implemented in real time. Experiments on speech and music segments show that the inversion gives a perceptually equivalent though mathematically different sound from the input.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
