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-rw-r--r--alc/effects/convolution.cpp6
1 files changed, 3 insertions, 3 deletions
diff --git a/alc/effects/convolution.cpp b/alc/effects/convolution.cpp
index 26ef6fd9..20510af2 100644
--- a/alc/effects/convolution.cpp
+++ b/alc/effects/convolution.cpp
@@ -332,7 +332,7 @@ void ConvolutionState::deviceUpdate(const DeviceBase *device, const Buffer &buff
done += todo;
std::fill(iter, fftbuffer.end(), std::complex<double>{});
- forward_fft<double>(fftbuffer);
+ forward_fft(al::as_span(fftbuffer));
filteriter = std::copy_n(fftbuffer.cbegin(), m, filteriter);
}
}
@@ -539,7 +539,7 @@ void ConvolutionState::process(const size_t samplesToDo,
*/
auto fftiter = std::copy_n(mInput.cbegin(), ConvolveUpdateSamples, mFftBuffer.begin());
std::fill(fftiter, mFftBuffer.end(), complex_f{});
- forward_fft<float>(mFftBuffer);
+ forward_fft(al::as_span(mFftBuffer));
std::copy_n(mFftBuffer.cbegin(), m, &mComplexData[curseg*m]);
@@ -575,7 +575,7 @@ void ConvolutionState::process(const size_t samplesToDo,
* second-half samples (and this output's second half is
* subsequently saved for next time).
*/
- inverse_fft<float>(mFftBuffer);
+ inverse_fft(al::as_span(mFftBuffer));
/* The iFFT'd response is scaled up by the number of bins, so apply
* the inverse to normalize the output.