wx12Ton helps one to work with music involving twelve-note series. In particular, it displays the 48 forms of a twelve-note series, and tests series for tonal phrases. In addition, wx12Ton allows the user to list the complete set of all twelve-note series which satisfy certain criteria.
Intelligent systems would benefit from being able to localize and track sound sources in real life settings. Such a capability can help in localizing a person or an interesting event in the environment, and also provides enhanced processing for other capabilities such as speech recognition. To give this capability to a computing system, the challenge is not only to localize simultaneous sound sources, but to track them over time. The ManyEars project propose a robust sound source localization and tracking method using an array of eight microphones. The method is based on a frequency-domain implementation of a steered beamformer along with a particle filter-based tracking algorithm. Tests on a mobile robot show that the algorithm can localize and track in real-time multiple moving sources of different types over a range of 7 meters. These new capabilities allowed the robot to interact using more natural means with people in real life settings. The ManyEars project provides an easy to use C library for microphone array processing. This includes sound source localisation, tracking, and separation.A tuning Qt GUI is also available for fine tuning the parameters.
The Python audio processing suite is a module that contains a variety of convenience functions to process audio signals. It can be used to plot spectral analyses of a song across time and to quickly ascertain encoding quality, but the instrumental goal of this suite is to robustly identify duplicated songs, regardless of which album they were released in, encoding quality, or start time.
glfer is a GTK+ application that shows the input signal frequency spectrum in a waterfall display and can also control a transmitter to emit slow-CW (QRSS) signals. The signal to be analyzed can be acquired in real-time from the sound card or can be read from a WAV file. The signal spectrum can be computed using four different spectral estimators. The spectrogram display can be saved as an image; you can choose to save the entire window, or select a rectangular region to save with the mouse.