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Library for Acoustic Signal Processing

Master branch:
Develop branch:

Welcome to LASP: Library for Acoustic Signal Processing. LASP is a C++ library with a Python interface which is supposed to acquire and process (multi) sensor data in real time on a PC and output results.

Current features that are implemented:

Communication with data acquisition (DAQ) devices, of which:
- Internal sound cards via the RtAudio backend. Many thanks to Gary P. Scavone et al.
- Measurement Computing DT9838A signal analyzer.
Configuration of DAQ devices: AC coupling, IEPE, sensitivity physical quantities.
Recording of signals from these DAQ devices, and storing in a HDF5 file.
Filter designers to create A/C sound pressure weighting
Biquad filter designers for low pass, high pass, peaking and notch filters
A Peak Programme Meter (PPM) to monitor signal levels from DAQ and to watch for signal clipping.
A signal generator to create sine waves, sweeps and noise (white / pink).
Equalizers to equalize the output prior to sending.
Averaged power spectra and power spectral density determination using Welch' method. Taper functions of Hann, Hamming, Bartlett and Blackman are provided.
(One third) octave filter bank filters designed to comply with IEC 61260 (1995).
Slow and fast time updates of (A/C/Z) weighted sound pressure levels
Full Sound Level Meter implementation
Real time Sound Level meter, Power / Transfer function estimator
Spectra data smoothing algorithms
Sensor calibration for microphones

Future features (wish-list)

Conventional and delay-and-sum beam-forming algorithms
Impedance tube measurement processing

For now, the source code is well-documented on lasp.ascee.nl but it requires some additional documentation (the math behind it). This is maintained in a sister repository lasp-doc.

If you have any question(s), please feel free to contact us: email.

Installation - Linux (Debian-based)

Dependencies

$ sudo apt install python3-pybind11 libopenblas-dev python3-pip python3-scipy libusb-1.0-0-dev libpulse-dev cmake-curses-gui python3-h5py
$ pip3 install --user -r requirements.txt

If building RtAudio with the ALSA backend, you will also require the following packages:

libclalsadrv-dev

If building RtAudio with the Jack Audio Connection Kit (JACK) backend, you will also require the following packages:

libjack-jackd2-dev

Download & build

$ git clone --recursive https://code.ascee.nl/ASCEE/lasp.git
$ cd lasp

For a release build:

$ cmake .

or optionally for a custom build:

$ ccmake .

Configure and run:

$ make -j

Build documentation

In directory:

$ sudo apt install doxygen graphviz $ pip install doxypypy

While still in lasp dir:

$ doxygen

This will build the documentation. It can be read by:

$ <YOUR-BROWSER> doc/html/index.html

Or via docker:

$ docker build -t lasp_ascee_nl:latest .

Install

For an editable install (while developing):

$ pip3 install --prefix=$HOME/.local -e .

To install locally, for a fixed version:

$ pip3 install --prefix=$HOME/.local

Usage

See examples directories for IPython notebooks.
Please refer to the documentation for features.

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