This work was supported by the EPSRC Leadership Fellowship EP/G007144/1, by the EPSRC Research Grant EP/H043101/1, by ANR Houle under reference ANR-11-JS03-005-01, and by a City University London Research Fellowship, by the EPSRC Early Career Fellowship EP/L020505/1, and by the RAEng Research Fellowship RF/128
oai:i-ETC.journals.isel.pt:article/35This paper presents a baseline system for automatic acoustic sc...
This paper presents a baseline system for automatic acoustic scene classification based on the audio...
This paper presents a baseline system for automatic acoustic scene classification based on the audio...
International audience—For intelligent systems to make best use of the audio modality, it is importa...
publicationstatus: publishedThis work has been partly supported by ESPRC Leadership Fellowship EP/G0...
For intelligent systems to make best use of the audio modality, it is important that they can recogn...
International audienceThis paper describes a newly-launched public evaluation challenge on acoustic ...
This work was supported by the Centre for Digital Music Platform (grant EP/K009559/1) and a Leadersh...
Research work on automatic speech recognition and automatic music transcription has been around for ...
International audienceAn increasing number of researchers work in computational auditory scene analy...
Public evaluation campaigns and datasets promote active development in target research areas, allowi...
Public evaluation campaigns and datasets promote active development in target research areas, allow...
International audiencePublic evaluation campaigns and datasets promote active development in target ...
This paper describes a newly-launched public evaluation challenge on acoustic scene classification a...
International audienceThis paper describes a newly-launched public evaluation challenge on acoustic ...
oai:i-ETC.journals.isel.pt:article/35This paper presents a baseline system for automatic acoustic sc...
This paper presents a baseline system for automatic acoustic scene classification based on the audio...
This paper presents a baseline system for automatic acoustic scene classification based on the audio...
International audience—For intelligent systems to make best use of the audio modality, it is importa...
publicationstatus: publishedThis work has been partly supported by ESPRC Leadership Fellowship EP/G0...
For intelligent systems to make best use of the audio modality, it is important that they can recogn...
International audienceThis paper describes a newly-launched public evaluation challenge on acoustic ...
This work was supported by the Centre for Digital Music Platform (grant EP/K009559/1) and a Leadersh...
Research work on automatic speech recognition and automatic music transcription has been around for ...
International audienceAn increasing number of researchers work in computational auditory scene analy...
Public evaluation campaigns and datasets promote active development in target research areas, allowi...
Public evaluation campaigns and datasets promote active development in target research areas, allow...
International audiencePublic evaluation campaigns and datasets promote active development in target ...
This paper describes a newly-launched public evaluation challenge on acoustic scene classification a...
International audienceThis paper describes a newly-launched public evaluation challenge on acoustic ...
oai:i-ETC.journals.isel.pt:article/35This paper presents a baseline system for automatic acoustic sc...
This paper presents a baseline system for automatic acoustic scene classification based on the audio...
This paper presents a baseline system for automatic acoustic scene classification based on the audio...