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Detection Classification and Localisation of marine mammals
The PAMGUARD project develops software to help detect, locate and classify marine mammals using Passive Acoustic Monitoring.
This project is being migrated to github at https://github.com/PAMGuard. Please go there for the latest updates.
thank you sourceforge for hosting us for all these years.
AcMus is a project on musical acoustics devoted to the development of models and computer tools for the study of room acoustics and focus on helping the investigation of issues related to the design, control and acoustic treatment of environments. AcMus has not been maintained for a few years now, but the code may still be useful. We consider the current repository to be at https://gitlab.com/ccsl-usp/acmus .
MARF is a general cross-platform framework with a collection of algorithms for audio (voice, speech, and sound) and natural language text analysis and recognition along with sample applications (identification, NLP, etc.) of its use, implemented in Java.
The Environment State Virtual Sensors for Android is a library that allows recognition of environmental scenarios in which an Android device can be found. The basic scenarios types are: Motion states, Noise states, Proximity state, ringer-mode state.
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The concept of ComputerAided Music Composition emerged as a natural sequel to the music hardware/software revolution dating back to early 50s. STOCASTICVS aims to grow into the best CAMC software yet, truly unleashing individual’s creative potential.
A set of software components used to investigate and implement searching of music and audio. This covers content-based retrieval and meta-data based solutions, segmentation and content selection (summarisation) of audio and music (MIDI, MP3 and WAV).
"CAGE", the Computer Audio Garden in Eclipse, is to be an Eclipse-based, Java and XML workbench, for the computer music composer. It will use the Rich Client Platform to provide a basic backbone framework, enabling existing computer music tools to be p
Lightweight and easy for use framework for audio features extraction.
Java framework based on jAudio feature extraction algorithms, but lightweight and easy for use. Support mp3, wav, aiff, aifc, au and snd files. Can extract 28 features.
Speed measurement software for J2ME MIDP2 mobile devices. Primary purpose is to determine speed of RC Airplanes and other loud high pitch vehicles. Speed measurement is based on the Doppler Effect.