publicationstatus: publishedThis work has been partly supported by ESPRC Leadership Fellowship EP/G007144/1, by EPSRC Grant EP/H043101/1 for QMUL, and by ANR-11-JS03-005-01 for IRCAM. D.G. is funded by a Queen Mary University of London CDTA Research Studentship. E.B. is supported by a City University London Research Fellowship
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This work was supported by the EPSRC Leadership Fellowship EP/G007144/1, by the EPSRC Research Grant...
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oai:i-ETC.journals.isel.pt:article/35This paper presents a baseline system for automatic acoustic sc...
International audienceIn this paper we present our work on Task 1 Acoustic Scene Classification and ...
International audienceAs part of the 2016 public evaluation challenge on Detection and Classificatio...
This paper introduces a model of environmental acoustic scenes which adopts a morphological approach...
International audienceThis paper describes a newly-launched public evaluation challenge on acoustic ...
This paper describes a newly-launched public evaluation challenge on acoustic scene classification a...
This work was supported by the EPSRC Leadership Fellowship EP/G007144/1, by the EPSRC Research Grant...
International audienceAn increasing number of researchers work in computational auditory scene analy...
For intelligent systems to make best use of the audio modality, it is important that they can recogn...
This work was supported by the Centre for Digital Music Platform (grant EP/K009559/1) and a Leadersh...
An increasing number of researchers work in computational auditory scene analysis (CASA). However, a...
Research work on automatic speech recognition and automatic music transcription has been around for ...
Public evaluation campaigns and datasets promote active development in target research areas, allowi...
International audiencePublic evaluation campaigns and datasets promote active development in target ...
We present a sound event detection system based on hidden Markov models. The system is evaluated wit...
oai:i-ETC.journals.isel.pt:article/35This paper presents a baseline system for automatic acoustic sc...
International audienceIn this paper we present our work on Task 1 Acoustic Scene Classification and ...
International audienceAs part of the 2016 public evaluation challenge on Detection and Classificatio...
This paper introduces a model of environmental acoustic scenes which adopts a morphological approach...