ArrayPub Date : 2023-01-01DOI: 10.25370/array.v20223478
Kerry L. Hagan
{"title":"Spatial Audio in Online Presentations","authors":"Kerry L. Hagan","doi":"10.25370/array.v20223478","DOIUrl":"https://doi.org/10.25370/array.v20223478","url":null,"abstract":"Considering binaural recordings are currently the only method for reproducing spatial music in two channels, it made sense that conferences for spatial music relied on delivering binaural audio in various ways. Previous to ICMC 2022, I attended several online concerts that tried to provide spatial audio. In some cases, artists created VR simulations of their works. VR was especially interesting for spatial compositions with visual elements, but it was a convoluted method for creating binaural recordings for audio-only pieces. Additionally, composers without access to VR engines could not present with this method. space","PeriodicalId":8417,"journal":{"name":"Array","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69206760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ArrayPub Date : 2023-01-01DOI: 10.25370/array.v20223481
Guiseppe Pisano
{"title":"Stereo and Ambisonics: A reflection over parallel spatialization techniques","authors":"Guiseppe Pisano","doi":"10.25370/array.v20223481","DOIUrl":"https://doi.org/10.25370/array.v20223481","url":null,"abstract":"As a composer of acousmatic music, I have often presented my work on a variety of different loudspeaker systems whese can be subdivided in two macro-families: those intended for the playback of multichannel pieces – often symmetric systems, in the shape of a circle, a dome, or a regular polygon – and those intended for acousmatic diffusions – the loudspeaker orchestras, mainly employed for the diffusion of stereo pieces, where the performer spatializes sound in real time. In this practice, it is not uncommon to listen to re-adaptations of pieces, presented in different formats to suit different types of systems, and I have always found the Ambisonics workflow a very successful approach to scale my pieces on systems belonging to the first macro-family. However, when I first faced the need of presenting my multichannel pieces on systems meant for stereo diffusion, I was very unhappy with the results I achieved through the typical methods employed to adapt Ambisonics space","PeriodicalId":8417,"journal":{"name":"Array","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69206835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ArrayPub Date : 2023-01-01DOI: 10.25370/array.v20223484
Miriam Akkermann
{"title":"Music is in the air. Sounding performances in hybrid and virtual space","authors":"Miriam Akkermann","doi":"10.25370/array.v20223484","DOIUrl":"https://doi.org/10.25370/array.v20223484","url":null,"abstract":"While physical space is fundamental to any sound's (physical) being – and thus being heard – advancements in technology and COVID pandemic-related limitations to physical travel and meeting in larger crowds prompted debate on how to design hybrid and virtual spaces in which music and sound art can be performed adequately. The question of how to make music together while being located at distant places, as well as issues concerning the integration of a wide-spread audience using telecommunication technologies, is, however, neither completely new nor limited to digital virtuality. Currently termed as ‘telematic’and ‘networked’art works and performances, there exists a quite long history of using distributed sounds and sound related information in order to create artistic settings and performances. For example, listening to live music performances or entertainment programs from a distance was already possible in the transition to the 20th century. Facilitated by Electrophone telespace","PeriodicalId":8417,"journal":{"name":"Array","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69207573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ArrayPub Date : 2022-11-01DOI: 10.2139/ssrn.4199184
M. Monibor Rahman, Md. Saikat Islam Khan, H. M. H. Babu
{"title":"BreastMultiNet: A multi-scale feature fusion method using deep neural network to detect breast cancer","authors":"M. Monibor Rahman, Md. Saikat Islam Khan, H. M. H. Babu","doi":"10.2139/ssrn.4199184","DOIUrl":"https://doi.org/10.2139/ssrn.4199184","url":null,"abstract":"","PeriodicalId":8417,"journal":{"name":"Array","volume":"16 1","pages":"100256"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41950178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ArrayPub Date : 2022-09-01DOI: 10.1016/j.array.2022.100217
Mohammed Ali Al-Garadi , Sangmi Kim , Yuting Guo , Elise Warren , Yuan-Chi Yang , Sahithi Lakamana , Abeed Sarker
{"title":"Natural language model for automatic identification of Intimate Partner Violence reports from Twitter","authors":"Mohammed Ali Al-Garadi , Sangmi Kim , Yuting Guo , Elise Warren , Yuan-Chi Yang , Sahithi Lakamana , Abeed Sarker","doi":"10.1016/j.array.2022.100217","DOIUrl":"10.1016/j.array.2022.100217","url":null,"abstract":"<div><p>Intimate partner violence (IPV) is a preventable public health problem that affects millions of people worldwide. Approximately one in four women are estimated to be or have been victims of severe violence at some point in their lives, irrespective of age, ethnicity, and economic status. Victims often report IPV experiences on social media, and automatic detection of such reports via machine learning may enable improved surveillance and targeted distribution of support and/or interventions for those in need. However, no artificial intelligence systems for automatic detection currently exists, and we attempted to address this research gap. We collected posts from Twitter using a list of IPV-related keywords, manually reviewed subsets of retrieved posts, and prepared annotation guidelines to categorize tweets into IPV-report or non-IPV-report. We annotated 6,348 tweets in total, with the inter-annotator agreement (IAA) of 0.86 (Cohen's kappa) among 1,834 double-annotated tweets. The class distribution in the annotated dataset was highly imbalanced, with only 668 posts (∼11%) labeled as IPV-report. We then developed an effective natural language processing model to identify IPV-reporting tweets automatically. The developed model achieved classification F<sub>1</sub>-scores of 0.76 for the IPV-report class and 0.97 for the non-IPV-report class. We conducted post-classification analyses to determine the causes of system errors and to ensure that the system did not exhibit biases in its decision making, particularly with respect to race and gender. Our automatic model can be an essential component for a proactive social media-based intervention and support framework, while also aiding population-level surveillance and large-scale cohort studies.</p></div>","PeriodicalId":8417,"journal":{"name":"Array","volume":"15 ","pages":"Article 100217"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/48/57/nihms-1882589.PMC10065459.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9282928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ArrayPub Date : 2022-09-01DOI: 10.1016/j.array.2022.100189
Thomas Hirsch, Birgit Hofer
{"title":"Using textual bug reports to predict the fault category of software bugs","authors":"Thomas Hirsch, Birgit Hofer","doi":"10.1016/j.array.2022.100189","DOIUrl":"10.1016/j.array.2022.100189","url":null,"abstract":"<div><p>Debugging is a time-consuming and expensive process. Developers have to select appropriate tools, methods and approaches in order to efficiently reproduce, localize and fix bugs. These choices are based on the developers’ assessment of the type of fault for a given bug report. This paper proposes a machine learning (ML) based approach that predicts the fault type for a given textual bug report. We built a dataset from 70+ projects for training and evaluation of our approach. Further, we performed a user study to establish a baseline for non-expert human performance on this task. Our models, incorporating our custom preprocessing approaches, reach up to 0.69% macro average F1 score on this bug classification problem. We demonstrate inter-project transferability of our approach. Further, we identify and discuss issues and limitations of ML classification approaches applied on textual bug reports. Our models can support researchers in data collection efforts, as for example bug benchmark creation. In future, such models could aid inexperienced developers in debugging tool selection, helping save time and resources.</p></div>","PeriodicalId":8417,"journal":{"name":"Array","volume":"15 ","pages":"Article 100189"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S259000562200042X/pdfft?md5=d85c4e5667d78881a25943827c972501&pid=1-s2.0-S259000562200042X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49366653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}