pYIN algorithm written in Rust

This crate provides a pitch estimate for each frame of the audio signal and a probability the frame is voiced region.

The implementation is based on librosa. For easy translation from Python + Numpy to Rust, the implementation is written on top of ndarray crate.

Build & Run

You can use this both as a executable binary and as a library (C shared library and Rust library).

As an executable binary

cargo run --release <input_file> <output_npy_file> <fmin> <fmax> --frame_ms <frame length in miliseconds>

or

cargo build --release ./target/release/pyin <input_file> <output_npy_file> <fmin> <fmax> --frame_ms <frame length in miliseconds>

Note

• Supported audio files: the same as Creak crate.
  • Multi-channel audio files are supported.
• output file: npy file contains an ndarray (shape=(3, no. of channels in input audio, no. of frames), data=[f0array, voicedflagarray, voicedprobs_array])
• If "-" is used as the output filename, the app will send output data to stdout.

Example using pYIN as a C shared library

The example is in test/test.c. To build and run it with GCC,

./compile_test.sh LD_LIBRARY_PATH=target/release ./test_pyin

Using pYIN as a Rust library

Add the following to your Cargo.toml:

[dependencies] pyin = {git = "https://github.com/Sytronik/pyin-rs.git", tag = "v1.0.0"}

TODO

• Input from stdio
• More options supported by command-line arguments