Artificial bandwidth extension of narrow-band speech signals via high-band energy estimation
Artificial bandwidth extension of narrow-band speech signals via high-band energy estimation
复制标题
通过高带能量估计对窄带语音信号进行人工带宽扩展
DOI：
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
M. Jasiuk
中科院分区：
文献类型：
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作者：
T. Ramabadran;M. Jasiuk
在本文中，我们描述了一种新的方法来解决人工扩展窄带语音信号的带宽问题。对于给定的窄带信号，我们首先估计高频段的能量。然后使用高频能量来选择与估计的高频能量一致的合适的高频频谱包络形状，同时确保所得到的宽带频谱包络在窄带和高频之间的边界处是连续的。因此，标量高频段能量参数有效地控制了添加到带宽扩展输出语音信号的高频段的人工信息。通过适当地调整高频带能量参数来最小化输出语音中的伪影。正式的主观听力测试表明，该方法产生的带宽扩展语音输出比输入的窄带语音高0.25 MOS。
In this paper, we describe a novel method of tackling the problem of artificially extending the bandwidth of a narrow-band speech signal. For a given narrow-band signal, we first estimate the energy in the high-band. The high-band energy is then used to select a suitable high-band spectral envelope shape that is consistent with the estimated high-band energy while simultaneously ensuring that the resulting wide-band spectral envelope is continuous at the boundary between narrow-band and high-band. The scalar high-band energy parameter thus effectively controls the artificial information added to the high-band of the bandwidth extended output speech signal. Artifacts in the output speech are minimized by adapting the high-band energy parameter appropriately. Formal subjective listening tests show that the bandwidth extended speech output generated by the described method outscores the input narrow-band speech by 0.25 MOS.