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Machine Listening for Park Soundscape Quality Assessment
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-540-88351-7_16openalex-snapshot
NoiseTube: Measuring and mapping noise pollution with mobile phones
inferredcites →https://doi.org/10.1016/j.apacoust.2012.05.010openalex-snapshot
Perception of soundscapes: An interdisciplinary approach
inferredcites →https://doi.org/10.1016/j.apacoust.2014.01.001openalex-snapshot
Automatic bird sound detection in long real-field recordings: Applications and tools
inferredcites →https://doi.org/10.1016/j.conb.2007.07.011openalex-snapshot
Auditory attention — focusing the searchlight on sound
inferredcites →https://doi.org/10.1016/j.jsv.2005.07.026openalex-snapshot
The temporal structure of urban soundscapes
inferredcites →https://doi.org/10.1109/ijcnn.2012.6252434openalex-snapshot
Attention-driven auditory stream segregation using a SOM coupled with an excitatory-inhibitory ANN
inferredcites →https://doi.org/10.1109/ijcnn.2013.6706791openalex-snapshot
A biologically inspired recurrent neural network for sound source recognition incorporating auditory attention
inferredcites →https://doi.org/10.1109/ijcnn.2014.6889658openalex-snapshot
Long-term learning behavior in a recurrent neural network for sound recognition
inferredcites →https://doi.org/10.1121/1.1547437openalex-snapshot
Noise sensitivity and reactions to noise and other environmental conditions
inferredcites →https://doi.org/10.1121/1.3158601openalex-snapshot
A model for the perception of environmental sound based on notice-events
inferredcites →https://doi.org/10.1121/1.3183377openalex-snapshot
Modeling subjective evaluation of soundscape quality in urban open spaces: An artificial neural network approach
inferredcites →https://doi.org/10.1121/1.4807798openalex-snapshot
A computational model of auditory attention for use in soundscape research
inferredcites →https://doi.org/10.1146/annurev.neuro.30.051606.094256openalex-snapshot
Fundamental Components of Attention
inferredcites →https://doi.org/10.1371/journal.pbio.1000129openalex-snapshot
Interaction between Attention and Bottom-Up Saliency Mediates the Representation of Foreground and Background in an Auditory Scene
inferredcites →https://doi.org/10.21437/interspeech.2007-44openalex-snapshot
A saliency-based auditory attention model with applications to unsupervised prominent syllable detection in speech
inferredcites →https://doi.org/10.25080/majora-92bf1922-011openalex-snapshot
Statsmodels: Econometric and Statistical Modeling with Python
inferredcites →https://doi.org/10.3390/app7010091openalex-snapshot
The Personal Viewpoint on the Meaning of Tranquility Affects the Appraisal of the Urban Park Soundscape
inferredcites →https://doi.org/10.3390/ijerph10041439openalex-snapshot
How Pleasant Sounds Promote and Annoying Sounds Impede Health: A Cognitive Approach
inferredcites →https://doi.org/10.3397/1.2828415openalex-snapshot
On the contribution of noticeability of environmental sounds to noise annoyance
inferredcites →https://doi.org/10.3397/1.2839726openalex-snapshot
Laboratory study of the noticeability and annoyance of low signal-to-noise ratio sounds
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4806795openalex-extracted
A Predictive Tool for Audio-Visual Perception of Urban Open Space Via Facial Expression Recognition
inferred← citeshttps://doi.org/10.1007/978-3-031-22779-0_8openalex-snapshot
Triangulation as a Tool in Soundscape Research
inferred← citeshttps://doi.org/10.1016/j.apacoust.2020.107479openalex-snapshot
A systematic review of prediction models for the experience of urban soundscapes
inferred← citeshttps://doi.org/10.1016/j.enbuild.2024.114456openalex-snapshot
Facial expression recognition, a predictive tool for perceiving urban open space environments under audio-visual interaction
inferred← citeshttps://doi.org/10.1016/j.landurbplan.2019.04.016openalex-snapshot
Classification of soundscapes of urban public open spaces
inferred← citeshttps://doi.org/10.1017/s1355771820000102openalex-snapshot
Using a Sonic Time-Lapse Method as a Compositional Tool
inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10446633openalex-snapshot
Multi-Level Graph Learning For Audio Event Classification And Human-Perceived Annoyance Rating Prediction
inferred← citeshttps://doi.org/10.1121/10.0022408openalex-snapshot
AI-based soundscape analysis: Jointly identifying sound sources and predicting annoyance
inferred← citeshttps://doi.org/10.15244/pjoes/150383openalex-snapshot
Prediction and Evaluation of Park Sound Comfort Based on Back Propagation Neural Network
inferred← citeshttps://doi.org/10.51576/ymd.1815785openalex-snapshot
FROM ALGORITHMS TO ACOUSTICS: A SCIENTIFIC MAPPING OF AI-BASED APPROACHES IN MUSIC AND ARCHITECTURAL DESIGN INTERSECTION
inferred← citeshttps://doi.org/10.70675/b3ca4067zb65az44bdzb851z6f627675aa58openalex-snapshot
Analysis and synthesis of urban sound scenes using deep learning techniques
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