(The Munich Open-Source Speech and Music Interpretation by Large-space Extraction Framework) is an open-source software package for automatic speech and music analysis. The project was initiated in 2006 at the Chair of Complex and Intelligent Systems at the Technical University of Munich. It is currently developed by a consortium of research institutions and universities from around the world, including the Technical University of Munich, the University of Passau, the University of Erlangen-Nuremberg and the University of Eastern Finland.
offers a wide range of features that make it an ideal tool for speech and music analysis. It is used by researchers in the fields of speech and language processing, speech recognition, music information retrieval, and artificial intelligence.
The main features of openSMILE are:
1. Feature extraction: openSMILE provides a wide range of features that can be extracted from audio signals. These include acoustic features such as energy, pitch, loudness, MFCCs, chroma, Bark and Mel-frequency cepstral coefficients (MFCCs), and psychoacoustic features such as loudness and perceptual sharpness.
2. Machine learning: openSMILE offers a range of machine learning algorithms for supervised and unsupervised learning. These include support vector machines, decision trees and random forests.
3. Modeling: openSMILE provides several modeling techniques, such as Gaussian mixture models and Hidden Markov models.
4. Language modeling: openSMILE provides several language modeling techniques, such as n-gram models and recurrent neural networks.
5. Visualization: openSMILE provides a visualization tool for visualizing feature distributions and other data.
6. Evaluation: openSMILE provides several evaluation metrics for assessing the performance of models.
7. Documentation: openSMILE provides comprehensive documentation on each of its features and tools.
In addition to these features, openSMILE also provides a number of tools for audio processing, such as a waveform
editor, a pitch detector and an audio mixer.
Moreover, openSMILE is supported by a community of users who help each other in using, testing and developing the software. The openSMILE website contains a list of publications related to openSMILE and its applications, as well as a list of resources.
openSMILE provides an automated, fast, and accurate way to extract meaningful information from audio data.