Hi Junfeng

Elevation is mainly determined by high frequency, so removing this will
severely impede the performance.
You may get a slightly better performance by up sampling the 8khz to
44.1/48 before convolution with the hrtf.
In the post production world we sometimes use 'spectral recovery'
algorithms like in Izotope RX, to regain high frequency content lost from
remote recording sessions, with the likes of 'zoom'. This may get you a
little closer still.
Hope this helps.

Best

Steve


On Thu, 11 Aug 2022, 03:26 Junfeng Li, <junfeng.li.1...@gmail.com> wrote:

> Dear all,
>
> We are working on 3D audio rendering for signals with low sampling
> frequency.
> As you may know, the HRTFs  are normally measured at the high sampling
> frequency, e.g., 48kHz or 44.1kHz. However, the sampling frequency of sound
> signals in our application is restricted to 16 kHz. Therefore, to render
> this low-frequency (≤8kHz) signal, one straight way is to first downsample
> the HRTFs from 48kHz/44.1kHz to 16kHz and then convolve with sound signals.
> However, the sound localization performance of the signal rendered with
> this approach is greatly decreased, especially elevation perception. To
> improve the sound localization performance, I am now wondering whether
> there is a certain good method to solve or mitigate this problem in this
> scenario.
>
> Any discussion is welcome.
>
> Thanks a lot again.
>
> Best regards,
> Junfeng
>
> -----------------------------------------
> Junfeng Li, Ph.D.
> Institute of Acoustics
> Chinese Academy of Sciences
> URL: www.jaist.ac.jp/~junfeng
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