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GitHub - johnnyy/LTR-audio-retrieval
https://github.com/johnnyy/LTR-audio-retrieval
In this paper, we propose a Cross-Modal BERT (CM-BERT) that introduces the information of audio modality to help text modality fine-tune the pre-trained BERT model. As the core unit of the CM-BERT, the masked multimodal attention is designed to dynamically adjust the weight of words through the cross-modal interaction.
GitHub - microsoft/multilabel-audio-retrieval: Deep ...
https://github.com/microsoft/multilabel-audio-retrieval
Deep learning-based multi-label audio retrieval using a Siamese network - GitHub - microsoft/multilabel-audio-retrieval: Deep learning-based multi-label audio retrieval using a Siamese network ... This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft ...
Music and Audio Retrieval Tools (MaART)
http://maart.sourceforge.net/
The project consists of over 52,000 lines of source code (NB: over 19,000 logical statements). While music retrieval is at the heart of this project, several tools and libraries have 'fallen' out of the development. These include: A C++ library to read, write and work with MIDI files;
Music and Audio Retrieval Tools / News
https://sourceforge.net/p/maart/news/
The Music and Audio Retrieval Tools (MaART) project is a set of software components used to investigate and implement retrieval / searching of music and audio. This release features: a tool for managing collections of MIDI files (identifying duplicates); a tool to generate Mel-Frequency Cepstral Coefficients (MFCCs) from wave files; pre-generated documentation of the source code.
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