Avoid manually specifying FFT template parameters

2 files changed, 5 insertions, 5 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.
diff --git a/alc/effects/pshifter.cpp b/alc/effects/pshifter.cpp
index f8409292..0156d777 100644
--- a/alc/effects/pshifter.cpp
+++ b/alc/effects/pshifter.cpp
@@ -184,7 +184,7 @@ void PshifterState::process(const size_t samplesToDo, const al::span<const Float
             mFftBuffer[k] = mFIFO[src] * HannWindow[k];
         for(size_t src{0u}, k{STFT_SIZE-mPos};src < mPos;++src,++k)
             mFftBuffer[k] = mFIFO[src] * HannWindow[k];
-        forward_fft<double>(mFftBuffer);
+        forward_fft(al::as_span(mFftBuffer));
 
         /* Analyze the obtained data. Since the real FFT is symmetric, only
          * STFT_HALF_SIZE+1 samples are needed.
@@ -243,7 +243,7 @@ void PshifterState::process(const size_t samplesToDo, const al::span<const Float
         /* Apply an inverse FFT to get the time-domain siganl, and accumulate
          * for the output with windowing.
          */
-        inverse_fft<double>(mFftBuffer);
+        inverse_fft(al::as_span(mFftBuffer));
         for(size_t dst{mPos}, k{0u};dst < STFT_SIZE;++dst,++k)
             mOutputAccum[dst] += HannWindow[k]*mFftBuffer[k].real() * (4.0/OVERSAMP/STFT_SIZE);
         for(size_t dst{0u}, k{STFT_SIZE-mPos};dst < mPos;++dst,++k)