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LabROSA - About

The Laboratory for the Recognition and Organization of Speech and Audio ( Lab ROSA. Conducts research into automatic means of extracting useful information from sound. Our vision is of an intelligent 'machine listener', able to interpret live or recorded sound of any type in terms of the descriptions and abstractions that would make sense to a human listener. Our research areas include:. Speech, to extract the words, prosodics, speaker characteristics, etc.

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The Laboratory for the Recognition and Organization of Speech and Audio ( Lab ROSA. Conducts research into automatic means of extracting useful information from sound. Our vision is of an intelligent 'machine listener', able to interpret live or recorded sound of any type in terms of the descriptions and abstractions that would make sense to a human listener. Our research areas include:. Speech, to extract the words, prosodics, speaker characteristics, etc.
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LabROSA - About | musicseer.org Reviews

https://musicseer.org

The Laboratory for the Recognition and Organization of Speech and Audio ( Lab ROSA. Conducts research into automatic means of extracting useful information from sound. Our vision is of an intelligent 'machine listener', able to interpret live or recorded sound of any type in terms of the descriptions and abstractions that would make sense to a human listener. Our research areas include:. Speech, to extract the words, prosodics, speaker characteristics, etc.

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LabROSA - Publications

http://www.musicseer.org/publications

Speech and Source Separation. Speech enhancement by low-rank and convolutive dictionary spectrogram decomposition. To appear), Singapore, Sep 2014. Content-adaptive speech enhancement by a sparsely-activated dictionary plus low rank decomposition. Nancy, May 2014. Speech Decoloration Based On The Product-Of-Filters Model. 2400-2404, Florence, May 2014. DOI: 10.1109/ICASSP.2014.6854030. Mir eval: A Transparent Implementation of Common MIR Metrics. To appear), Taipei, Taiwan, Oct 2014. Pp118-134, March 2014.

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LabROSA - People

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Signal processing applied to extracting information from sound. Bayesian modeling and its application to audio/music and recommendation. Speech enhancement and source separation using Matrix Factorization, Bayesian models, (D/R)Neural Networks, etc. Learning-based approaches for processing audio and music signals. Pattern recognition in musical sounds. Tools for detecting coughs from patient's personal audio recording. Signal processing applied to music, jazz. Algorithms for audio and time series mining.

3

LabROSA - Projects

http://www.musicseer.org/projects

A Python library which includes common tools for low- and high-level signal-based music analysis. A Python library which makes it easy to create, manipulate, and extract information from MIDI files. The Music Engineering Art Projects (a collaboration with Columbia's Computer Music Center). An NSF funded project into mining for structure in music audio. An NSF funded project into techniques for separating and recognizing sounds in mixtures. Consumer video classification by soundtrack. Including example da...

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LabROSA - About

The Laboratory for the Recognition and Organization of Speech and Audio ( Lab ROSA. Conducts research into automatic means of extracting useful information from sound. Our vision is of an intelligent 'machine listener', able to interpret live or recorded sound of any type in terms of the descriptions and abstractions that would make sense to a human listener. Our research areas include:. Speech, to extract the words, prosodics, speaker characteristics, etc.

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