1,721,009 research outputs found
Lion City Soundscapes (LCS)
No full textThis repository contains audio-visual recordings made at the 62 locations identified by the Singapore Soundscape Site Selection Survey, as 1-minute long audio and video files. The 1-minute long files in this repository have been cropped from much longer full-length files that were initially recorded from the respective locations as "representative" sections of recordings of those locations, and are more suitable for short-term analysis of those soundscapes. A model pre-trained on the ARAUS dataset was used to crop the 1-minute sections by identifying the sections best corresponding to its ISO12913-3:2019 perceptual quadrant in the Singapore Soundscape Site Selection Survey. For further details of the exact method, please refer to our publication:
Kenneth Ooi, Jessie Goh, Hao-Weng Lin, Zhen-Ting Ong, Trevor Wong, Karn Watcharasupat, Bhan Lam, Woon-Seng Gan, Lion City Soundscapes: Modified Partitioning Around Medoids for a Perceptually Diverse Dataset of Singaporean Soundscapes, JASA Express Letters, 2024.
The original full-length files have different lengths depending on the specific recording location and range from 9-38 minutes in length, which might be more suitable for medium-term analysis of the same soundscapes. Due to memory and bandwidth limitations, only a selection of full-length files are currently accessible on this repository (the full-length binaural microphone recordings for all locations, as well as all full-length files for locations S0001, S0002, and S0041). However, preview videos of the files have been made available on YouTube (respective URLs under the youtube_link column of metadata.csv, available in this repository and also the project GitHub repository https://github.com/ntudsp/lion-city-soundscapes) and all raw files are available upon request. If you would like to download the full-length files, please ensure that your system is able to handle a download of about 1.5TB and contact us regarding the request with the email header "[LCS] Download of full-length files" for the steps to download.
The following types of files are available for each individual location (all are synchronised with each other):
19-channel wave file recorded using a ZYLIA ZM-1 3rd-order Ambisonic microphone
2-channel stereo wave file generated from the 19-channel wave file upon recording using a ZYLIA ZR-1 Portable Recorder
3-channel HDF file recorded using a B&K Type 4101-B binaural microphone (first two channels) and GRAS 146AE Free-field Microphone (last channel) connected to a HEAD Acoustics SQobold Data Acquisition System. Note that "HDF" here stands for "HEAD Data Format", and not the more standard "Hierarchical Data Format". This file can be opened with the use of software such as HEAD Companion and ArtemiS
2-channel wave file recorded using the binaural microphone, as generated from the first two channels of the HDF file
1-channel wave file recorded using the GRAS 146AE Free-field Microphone, as generated from the last channel of the HDF file
360-degree video file (in spherical, MP4 format) recorded using an Insta360 One R camera and onboard microphone. Note that no windscreen was used for the onboard microphone and the audio quality is comparatively low, so we advise coupling the audio from the binaural microphone or 3rd-order Ambisonic microphone to the video if audio-visual reproduction is desired.
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Replication Data for: Effect of masker selection schemes on the perceived affective quality of soundscapes: A pilot study
No full textThis repository contains the data and replication code for our publication in Inter-Noise 202
Replication Data for: Assessment of a Cost-Effective Headphone Calibration Procedure for Soundscape Evaluations
No full textThis dataset contains the data used for all statistical comparisons in our ICSV 2022 submission "Assessment of a Cost-Effective Headphone Calibration Procedure for Soundscape Evaluations", summarised in a single .csv file.
To obtain the data in this dataset, 17 participants were invited to each rate 27 stimuli twice, once with the stimuli calibrated with a head-and-torso simulator ("HATS method") and once with the stimuli calibrated via an open-circuit voltage method ("OCV method"). This resulted in a total of 17*27*2 = 918 data samples, corresponding to the number of rows in the .csv file.
For more details on the calibration method and listening test procedure, please refer to our manuscript:
B. Lam, K. Ooi, K.N. Watcharasupat, Y.-T. Lau, Z.-T. Ong, T. Wong, W.-S. Gan, "Assessment of a Cost-Effective Headphone Calibration Procedure for Soundscape Evaluations", in Proceedings of the 28th International Congress on Sound and Vibration, ICSV28, Singapore, 2022.
A short explanation of the columns in the .csv file is as follows:
calib_method: The method used to calibrate the stimulus for which the present row of responses was obtained (either HATS or OCV)
participant_idx: The index of the participant who provided the present row of responses. Each participant is assigned a unique index. In addition, indices do not start from 1 because we omitted data from participants who adjusted volume settings when listening to the stimuli (thus rendering the calibration invalid), as well as participants who were unable to provide a complete set of responses for stimuli calibrated using both calibration methods.
stimulus_idx: The index of the stimulus for which the present row of responses was obtained (integers from 1 to 27, inclusive).
pleasant: The rating given by the participant for the present stimulus on a scale of 0 to 100 (inclusive) for the attribute "pleasant".
chaotic: The rating given by the participant for the present stimulus on a scale of 0 to 100 (inclusive) for the attribute "chaotic"
vibrant: The rating given by the participant for the present stimulus on a scale of 0 to 100 (inclusive) for the attribute "vibrant"
uneventful: The rating given by the participant for the present stimulus on a scale of 0 to 100 (inclusive) for the attribute "uneventful"
calm: The rating given by the participant for the present stimulus on a scale of 0 to 100 (inclusive) for the attribute "calm"
annoying: The rating given by the participant for the present stimulus on a scale of 0 to 100 (inclusive) for the attribute "annoying"
eventful: The rating given by the participant for the present stimulus on a scale of 0 to 100 (inclusive) for the attribute "eventful"
monotonous: The rating given by the participant for the present stimulus on a scale of 0 to 100 (inclusive) for the attribute "monotonous"
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Replication Data for: Automating Urban Soundscape Enhancements with AI: In-situ Assessment of Quality and Restorativeness in Traffic-Exposed Residential Areas
No full text
This dataset contains the following data tables:
amss_insitu_participant_data.csv: Participant responses to site evaluation
comb_obj_insitu_session_data.csv: Per session combined objective acoustic measurement and subjective response data
The variables contained in each data table are detailed below:
amss_insitu_participant_data.csv
pID: [numeric] Unique participant identification
site: [Factor w/ 3 levels "GND", "ROOF", "MP"] Variable describing the site, where "GND" refers to the pavilion on the ground floor, "ROOF" is the pavilion in the rooftop garden, and "MP" is the meeting point
condition: [Factor w/ 2 levels "AMB", "AMSS"] Variable describing the condition
order: [Factor w/ 2 levels "18", "81"] Variable describing the order in which the participant assesses the evaluation sites. "18" indicates that a participant evaluated the soundscape at "GND" first followed by "ROOF" and vice versa for "81".
partGrp: [Factor w/ 2 levels "multi", "single"] Variable describing the number of participants in the session for each participant, where "single" indicates that the participant conducted the experiment alone and "multi" indicates that more than one person was present during
dom_noise: [numeric] Normalised score for the dominance of noise sources (DOMNoi)
dom_human: [numeric] Normalised score for the dominance of human sound sources (DOMHum)
dom_natural: [numeric] Normalised score for the dominance of natural sound sources (DOMNat)
p: [numeric] Normalised score for the pleasant attribute in the perceived affective quality scale as per Method A questionnaire in ISO 12913-2 (rp)
e: [numeric] Normalised score for the eventful attribute in the perceived affective quality scale as per Method A questionnaire in ISO 12913-2 (re)
ch: [numeric] Normalised score for the chaotic attribute in the perceived affective quality scale as per Method A questionnaire in ISO 12913-2 (rch)
v: [numeric] Normalised score for the vibrant attribute in the perceived affective quality scale as per Method A questionnaire in ISO 12913-2 (rv)
u: [numeric] Normalised score for the uneventful attribute in the perceived affective quality scale as per Method A questionnaire in ISO 12913-2 (ru)
ca: [numeric] Normalised score for the calm attribute in the perceived affective quality scale as per Method A questionnaire in ISO 12913-2 (rca)
a: [numeric] Normalised score for the annoying attribute in the perceived affective quality scale as per Method A questionnaire in ISO 12913-2 (ra)
m: [numeric] Normalised score for the monotonous attribute in the perceived affective quality scale as per Method A questionnaire in ISO 12913-2 (rm)
overall: [numeric] Normalised score for the overall quality of the acoustic environment as per Method A questionnaire in ISO 12913-2 (OSQ)
appropriate: [numeric] Normalised score for the appropriateness of the acoustic environment as per Method A questionnaire in ISO 12913-2 (APPR)
loudness: [numeric] Normalised score for the overall loudness of the acoustic environment (PLN)
ISOPL: [numeric] Derived normalised score for the ``Pleasantness'' score calculated using equation A.1 in ISO 12913-3 (ISOPL)
ISOEV: [numeric] Derived normalised score for the ``Eventfulness'' score calculated using equation A.1 in ISO 12913-3 (ISOEV)
PRSSFas: [numeric] Derived normalised score for the ``Fascination'' dimension in the Perceived Restorativeness Soundscape Scale (PRSSFas)
PRSSBA: [numeric] Derived normalised score for the ``Being-Away'' dimension in the Perceived Restorativeness Soundscape Scale (PRSSBA)
PRSSCom: [numeric] Derived normalised score for the ``Compatibility'' dimension in the Perceived Restorativeness Soundscape Scale (PRSSCom)
PRSSEC: [numeric] Derived normalised score for the ``Extent-Coherence'' dimension in the Perceived Restorativeness Soundscape Scale (PRSSEC)
PRSSES: [numeric] Derived normalised score for the ``Extent-Scope'' dimension in the Perceived Restorativeness Soundscape Scale (PRSSES)
PosAff: [numeric] Derived normalised score for positive affect in the I-PANAS-SF scale (PA)
NegAff: [numeric] Derived normalised score for negative affect in the I-PANAS-SF scale (NA)
pss: [numeric] Derived normalised score for the 10-item perceived stress scale (PSS-10)
wnss: [numeric] Derived normalised score for the 21-item Weinstein noise sensitivity scale (INS)
wbi: [numeric] Derived normalised score for the 5-item WHO well-being index (WHO-5)
panas_*: [numeric] Individual raw ratings of the I-PANAS-SF questionnaire
annoy-*: [numeric] Individual raw ratings of the ISO 15666 questionnaire on annoyance
gender: [Factor w/ 2 levels "Male", "Female"] reported gender
occupation: [chr] reported occupation
occupation_other: [chr] self-reported occupation for "other" category
age: [numeric] reported age
pss*: [numeric] Individual raw ratings of the Perceived Stress Scale questionnaire
wnss*: [numeric] Individual raw ratings of the Weinstein Noise Sensitivity Scale questionnaire
who*: [numeric] Individual raw ratings of the WHO Well-being Index questionnaire
comb_obj_insitu_session_data.csv
date: [character] Date in YYYYMMDD format
sessionTime: [numeric] The hour of date when the evaluation session started
site: [Factor w/ 2 levels "GND", "ROOF"] Variable describing the site
condition: [Factor w/ 2 levels "AMB", "AMSS"] Variable describing the condition
L[Aeq]: [numeric] The C-weighted equivalent sound pressure level for 10-min listening period of the session at date and sessionTime
L[Ceq]: [numeric] The C-weighted equivalent sound pressure level for 10-min listening period of the session at date and sessionTime
N[95]: [numeric] The 95 % exceedance levels of psychoacoustic loudness for 10-min listening period of the session at date and sessionTime
pair: [numeric] A combination of condition--site for plotting purposes
attribute: [numeric] The collated subjective attributes of ISOPL, OSQ, PRSSFas, PRSSBA, and PRSSCom
score: [numeric] The hour of date when the evaluation session started
enviro_session_data.csv
startDate: [POSIXlt] The local POSIXlt datetime indicating the start of the 10-min listening period of the session
endDate: [POSIXlt] The local POSIXlt datetime indicating the end of the 10-min listening period of the session
condition: [Factor w/ 2 levels "AMB", "AMSS"] Variable describing the condition
temperature: [numeric] Variable describing the temperature in °C
humidity: [numeric] Variable describing the humidity in %RH
lux: [numeric] Variable describing the luminance in lux
windspeed: [numeric] Variable describing the wind speed in km/h
24h_psi: [numeric] Variable describing the 24 hour Pollution Standards Index
pm25: [numeric] Variable describing the 1-hour PM2.5 reading in µg/m3
predict_session_data.csv
timestamp: [POSIXlt] The local POSIXlt datetime indicating the time at which the 30-s long masker was played at the ROOF pavilion
predictions: [numeric] Variable describing the masker that was chosen based on the highest predicted ISOPL increase
condition: [Factor w/ 1 level "AMSS"] Variable describing the condition
fullData.RData
amss_insitu_participant_data: [data.frame] R S3 tibble data.frame containing the data in amss_insitu_participant_data.csv
comb_obj_insitu_session_data: [data.frame] R S3 tibble data.frame containing the data in comb_obj_insitu_session_data.csv
enviro_session_data: [data.frame] R S3 tibble data.frame containing the data in enviro_session_data.csv
predict_session_data: [data.frame] R S3 tibble data.frame containing the data in predict_session_data.csv
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Replication Data for: Singapore Soundscape Site Selection Survey (S5): Identification of Characteristic Soundscapes of Singapore via Weighted k-means Clustering
No full textThis dataset contains the data used for all statistical analysis in our publication "Singapore Soundscape Site Selection Survey (S5): Identification of Characteristic Soundscapes of Singapore via Weighted k-means Clustering", summarised in a single .csv file.
For more details on the study methodology, please refer to our manuscript:
Ooi, K.; Lam, B.; Hong, J.; Watcharasupat, K. N.; Ong, Z.-T.; Gan, W.-S. Singapore Soundscape Site Selection Survey (S5): Identification of Characteristic Soundscapes of Singapore via Weighted k-means Clustering. Sustainability, 2022.
For our replication code utilising this data, please refer to our Github repository:
https://github.com/ntudsp/singapore-soundscape-site-selection-survey
A short explanation of the columns in the .csv file is as follows:
Full of life & exciting [Latitude]: The latitude, in degrees, of the location chosen by the participant as "Full of life & exciting".
Full of life & exciting [Longitude]: The longitude, in degrees, of the location chosen by the participant as "Full of life & exciting".
Full of life & exciting [# times visited]: The number of times that the participant had visited the chosen location they considered "Full of life & exciting" before, as reported by the participant.
Full of life & exciting [Duration]: The average duration per visit to the chosen location the participant considered "Full of life & exciting", as reported by the participant.
Chaotic & restless [Latitude]: The latitude, in degrees, of the location chosen by the participant as "Chaotic & restless".
Chaotic & restless [Longitude]: The longitude, in degrees, of the location chosen by the participant as "Chaotic & restless".
Chaotic & restless [# times visited]: The number of times that the participant had visited the chosen location they considered "Chaotic & restless" before, as reported by the participant.
Chaotic & restless [Duration]: The average duration per visit to the chosen location the participant considered "Chaotic & restless", as reported by the participant.
Calm & tranquil [Latitude]: The latitude, in degrees, of the location chosen by the participant as "Calm & tranquil".
Calm & tranquil [Longitude]: The longitude, in degrees, of the location chosen by the participant as "Calm & tranquil".
Calm & tranquil [# times visited]: The number of times that the participant had visited the chosen location they considered "Calm & tranquil" before, as reported by the participant.
Calm & tranquil [Duration]: The average duration per visit to the chosen location the participant considered "Calm & tranquil", as reported by the participant.
Boring & lifeless [Latitude]: The latitude, in degrees, of the location chosen by the participant as "Boring & lifeless".
Boring & lifeless [Longitude]: The longitude, in degrees, of the location chosen by the participant as "Boring & lifeless".
Boring & lifeless [# times visited]: The number of times that the participant had visited the chosen location they considered "Boring & lifeless" before, as reported by the participant.
Boring & lifeless [Duration]: The average duration per visit to the chosen location the participant considered "Boring & lifeless", as reported by the participant.
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Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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