Comments (1)
There are various algorithms that can give good quality, but choice highly depends on a type of input audio you want to process.
For instance, SOLA, phase vocoder, Sinusoidal spectral modeling, neural networks.
Many of pitch shift algorithms are based on FFT which is already in KFR.
For some of these algorithms, sample rate conversion must be applied after processing to return the signal its original sample rate.
Vocal pitch shift that preserves formant is more complex and requires additional processing.
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Related Issues (20)
- Asymmetric Hann window HOT 3
- Polyphase filter bank HOT 2
- Internal compiler error HOT 3
- Minimum dft size HOT 1
- KFR Roadmap HOT 7
- Slow DFT (much slower than FFTW or IPP) HOT 2
- Building with clang-10 leads to warnings HOT 2
- Build failed on arm64 with -DKFR_ENABLE_CAPI_BUILD=ON in capi/CMakeFiles/kfr_capi.dir/capi.cpp.o HOT 9
- Cannot link kfr_dft
- Example request: FIR Overlap-Add
- Unable to properly link kfr_dft HOT 9
- Combine FIR filters in parallel HOT 2
- undefined reference to `void kfr::sse2::dft_initialize HOT 10
- using std::complex HOT 1
- [Planner Flags] FFTW_* option equivalent HOT 1
- Orphan #define statement in KFR6 HOT 1
- Build failed CAPI on Docker ubuntu22 with Clang HOT 1
- [SUGGESTION] Fingerprinting, resampling algos & more
- Need exmaples about fft2 HOT 1
- Build fails because of various C++ errors HOT 4
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