diff --git a/data/books/catalog.json b/data/books/catalog.json index f98f005..673d277 100644 --- a/data/books/catalog.json +++ b/data/books/catalog.json @@ -1 +1 @@ -{"6676af8a-7a4d-4aa8-af96-f26452f58753": {"title": "Divination Engines: A media History of Text Prediction", "title_sort": "Divination Engines: A media History of Text Prediction", "pubdate": "2017-06-15 00:00:00+00:00", "last_modified": "2020-06-09 12:00:37.880000+00:00", "library_uuid": "ac02bcce-a920-4add-befb-1dbc71589681", "librarian": "Em Azon", "_id": "6676af8a-7a4d-4aa8-af96-f26452f58753", "tags": ["_tablet_modified"], "abstract": "", "publisher": "", "authors": ["Xiaochang Li"], "formats": [{"format": "pdf", "file_name": "Divination Engines_ A media His - Xiaochang Li.pdf", "dir_path": "Xiaochang Li/Divination Engines_ A media History (2)/", "size": 19319089}], "cover_url": "Xiaochang Li/Divination Engines_ A media History (2)/cover.jpg", "identifiers": [{"scheme": "bibhash", "code": "ARvOPJspR1SF"}], "languages": []}, "f5f0b4ef-9603-4aea-aa40-b5d0fbb9f4d7": {"title": "Smart Home Report", "title_sort": "Smart Home Report", "pubdate": "2018-06-15 00:00:00+00:00", "last_modified": "2020-06-09 12:00:43.520000+00:00", "library_uuid": "ac02bcce-a920-4add-befb-1dbc71589681", "librarian": "Em Azon", "_id": "f5f0b4ef-9603-4aea-aa40-b5d0fbb9f4d7", "tags": [], "abstract": "", "publisher": "", "authors": ["Audio Analytic"], "formats": [{"format": "pdf", "file_name": "Smart Home Report - Audio Analytic.pdf", "dir_path": "Audio Analytic/Smart Home Report (3)/", "size": 2653494}], "cover_url": "Audio Analytic/Smart Home Report (3)/cover.jpg", "identifiers": [{"scheme": "bibhash", "code": "+mTIjocigTCv"}], "languages": []}, "fc275850-d172-4ec1-ab4e-db5c4cc2b5df": {"title": "A Framework for the Robust Evaluation of Sound Event Detection", "title_sort": "A Framework for the Robust Evaluation of Sound Event Detection", "pubdate": "2020-06-15 00:00:00+00:00", "last_modified": "2020-06-09 12:00:47.729000+00:00", "library_uuid": "ac02bcce-a920-4add-befb-1dbc71589681", "librarian": "Em Azon", "_id": "fc275850-d172-4ec1-ab4e-db5c4cc2b5df", "tags": ["electrical engineering and systems science - audio and speech processing", "computer science - sound"], "abstract": "This work de\ufb01nes a new framework for performance evaluation of polyphonic sound event detection (SED) systems, which overcomes the limitations of the conventional collar-based event decisions, event F-scores and event error rates. The proposed framework introduces a de\ufb01nition of event detection that is more robust against labelling subjectivity. It also resorts to polyphonic receiver operating characteristic (ROC) curves to deliver more global insight into system performance than F1-scores, and proposes a reduction of these curves into a single polyphonic sound detection score (PSDS), which allows system comparison independently from operating points (OPs). The presented method also delivers better insight into data biases and classi\ufb01cation stability across sound classes. Furthermore, it can be tuned to varying applications in order to match a variety of user experience requirements. The bene\ufb01ts of the proposed approach are demonstrated by re-evaluating the baseline and two of the top-performing systems from DCASE 2019 Task 4.", "publisher": "", "authors": ["Cagdas Bilen", "Giacomo Ferroni", "Francesco Tuveri", "Juan Azcarreta", "Sacha Krstulovic"], "formats": [{"format": "pdf", "file_name": "A Framework for the Robust Eval - Cagdas Bilen.pdf", "dir_path": "Cagdas Bilen/A Framework for the Robust Evaluatio (4)/", "size": 666363}], "cover_url": "Cagdas Bilen/A Framework for the Robust Evaluatio (4)/cover.jpg", "identifiers": [{"scheme": "bibhash", "code": "LCq0llus6mWW"}], "languages": ["eng"], "series": "arXiv:1910.08440 [cs, eess]"}, "827d1f44-5a35-4278-a527-4df67e5ba321": {"title": "Intelligent Audio Analysis", "title_sort": "Intelligent Audio Analysis", "pubdate": "2014-06-15 00:00:00+00:00", "last_modified": "2020-09-19 13:52:17.753000+00:00", "library_uuid": "ac02bcce-a920-4add-befb-1dbc71589681", "librarian": "Em Azon", "_id": "827d1f44-5a35-4278-a527-4df67e5ba321", "tags": ["technology & engineering", "user interfaces", "acoustics & sound", "computers", "electronics", "imaging systems", "General", "electrical"], "abstract": "This book provides the reader with the knowledge necessary for comprehension of the field of Intelligent Audio Analysis. It firstly introduces standard methods and discusses the typical Intelligent Audio Analysis chain going from audio data to audio features to audio recognition. Further, an introduction to audio source separation, and enhancement and robustness are given. After the introductory parts, the book shows several applications for the three types of audio: speech, music, and general sound. Each task is shortly introduced, followed by a description of the specific data and methods applied, experiments and results, and a conclusion for this specific task. The books provides benchmark results and standardized test-beds for a broader range of audio analysis tasks. 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\n

\"Virilio offers a cool, precise look at an impending future in which reality shall simply cease to exist. Highly recommended.\" -- Choice Surveying art history as well as the technologies of war and urban planning, one of France's leading intellectuals provides an introduction to a new \"logistics of the image.\"

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\n

This is the first of three radio shows as part of Jasmine's guest residency at Noods Radio. It features an interview with academic and sound curator James Parker about his research into machine listening as well as a selection of electronic music.

", "publisher": "Noods Radio", "authors": ["James Parker", "Jasmine Guffond"], "formats": [{"format": "mp3", "file_name": "James Parker - James Parker.mp3", "dir_path": "James Parker/James Parker (30)/", "size": 143879028}], "cover_url": "James Parker/James Parker (30)/cover.jpg", "identifiers": [], "languages": ["eng"], "series": "Computational Listening"}, "1bc54cd0-cbf6-4e3a-93f9-0df156cef85e": {"title": "Angie Abdilla", "title_sort": "Angie Abdilla", "pubdate": "2020-09-15 00:00:00+00:00", "last_modified": "2020-09-28 12:56:53.600112+00:00", "library_uuid": "ac02bcce-a920-4add-befb-1dbc71589681", "librarian": "Em Azon", "_id": "1bc54cd0-cbf6-4e3a-93f9-0df156cef85e", "tags": ["Audiobook", "Interview"], "abstract": "", "publisher": "Liquid Architecture", "authors": ["Angie Abdilla", "James Parker", "Joel Stern", "Sean Dockray"], "formats": [{"format": "mp3", "file_name": "Angie Abdilla - Angie Abdilla.mp3", "dir_path": "Angie Abdilla/Angie Abdilla (31)/", "size": 46588384}], "cover_url": "Angie Abdilla/Angie Abdilla (31)/cover.jpg", "identifiers": [], "languages": ["eng"], "series": "Machine Listening Curriculum"}} \ No newline at end of file +{"6676af8a-7a4d-4aa8-af96-f26452f58753": {"title": "Divination Engines: A media History of Text Prediction", "title_sort": "Divination Engines: A media History of Text Prediction", "pubdate": "2017-06-15 00:00:00+00:00", "last_modified": "2020-06-09 12:00:37.880000+00:00", "library_uuid": "ac02bcce-a920-4add-befb-1dbc71589681", "librarian": "Em Azon", "_id": "6676af8a-7a4d-4aa8-af96-f26452f58753", "tags": ["_tablet_modified"], "abstract": "", "publisher": "", "authors": ["Xiaochang Li"], "formats": [{"format": "pdf", "file_name": "Divination Engines_ A media His - Xiaochang Li.pdf", "dir_path": "Xiaochang Li/Divination Engines_ A media History (2)/", "size": 19319089}], "cover_url": "Xiaochang Li/Divination Engines_ A media History (2)/cover.jpg", "identifiers": [{"scheme": "bibhash", "code": "ARvOPJspR1SF"}], "languages": []}, "f5f0b4ef-9603-4aea-aa40-b5d0fbb9f4d7": {"title": "Smart Home Report", "title_sort": "Smart Home Report", "pubdate": "2018-06-15 00:00:00+00:00", "last_modified": "2020-06-09 12:00:43.520000+00:00", "library_uuid": "ac02bcce-a920-4add-befb-1dbc71589681", "librarian": "Em Azon", "_id": "f5f0b4ef-9603-4aea-aa40-b5d0fbb9f4d7", "tags": [], "abstract": "", "publisher": "", "authors": ["Audio Analytic"], "formats": [{"format": "pdf", "file_name": "Smart Home Report - Audio Analytic.pdf", "dir_path": "Audio Analytic/Smart Home Report (3)/", "size": 2653494}], "cover_url": "Audio Analytic/Smart Home Report (3)/cover.jpg", "identifiers": [{"scheme": "bibhash", "code": "+mTIjocigTCv"}], "languages": []}, "fc275850-d172-4ec1-ab4e-db5c4cc2b5df": {"title": "A Framework for the Robust Evaluation of Sound Event Detection", "title_sort": "A Framework for the Robust Evaluation of Sound Event Detection", "pubdate": "2020-06-15 00:00:00+00:00", "last_modified": "2020-06-09 12:00:47.729000+00:00", "library_uuid": "ac02bcce-a920-4add-befb-1dbc71589681", "librarian": "Em Azon", "_id": "fc275850-d172-4ec1-ab4e-db5c4cc2b5df", "tags": ["electrical engineering and systems science - audio and speech processing", "computer science - sound"], "abstract": "This work de\ufb01nes a new framework for performance evaluation of polyphonic sound event detection (SED) systems, which overcomes the limitations of the conventional collar-based event decisions, event F-scores and event error rates. The proposed framework introduces a de\ufb01nition of event detection that is more robust against labelling subjectivity. It also resorts to polyphonic receiver operating characteristic (ROC) curves to deliver more global insight into system performance than F1-scores, and proposes a reduction of these curves into a single polyphonic sound detection score (PSDS), which allows system comparison independently from operating points (OPs). The presented method also delivers better insight into data biases and classi\ufb01cation stability across sound classes. Furthermore, it can be tuned to varying applications in order to match a variety of user experience requirements. The bene\ufb01ts of the proposed approach are demonstrated by re-evaluating the baseline and two of the top-performing systems from DCASE 2019 Task 4.", "publisher": "", "authors": ["Cagdas Bilen", "Giacomo Ferroni", "Francesco Tuveri", "Juan Azcarreta", "Sacha Krstulovic"], "formats": [{"format": "pdf", "file_name": "A Framework for the Robust Eval - Cagdas Bilen.pdf", "dir_path": "Cagdas Bilen/A Framework for the Robust Evaluatio (4)/", "size": 666363}], "cover_url": "Cagdas Bilen/A Framework for the Robust Evaluatio (4)/cover.jpg", "identifiers": [{"scheme": "bibhash", "code": "LCq0llus6mWW"}], "languages": ["eng"], "series": "arXiv:1910.08440 [cs, eess]"}, "827d1f44-5a35-4278-a527-4df67e5ba321": {"title": "Intelligent Audio Analysis", "title_sort": "Intelligent Audio Analysis", "pubdate": "2014-06-15 00:00:00+00:00", "last_modified": "2020-09-29 13:38:34.116476+00:00", "library_uuid": "ac02bcce-a920-4add-befb-1dbc71589681", "librarian": "Em Azon", "_id": "827d1f44-5a35-4278-a527-4df67e5ba321", "tags": ["Technology & Engineering", "user interfaces", "acoustics & sound", "Computers", "Electronics", "Imaging Systems", "General", "Electrical"], "abstract": "This book provides the reader with the knowledge necessary for comprehension of the field of Intelligent Audio Analysis. It firstly introduces standard methods and discusses the typical Intelligent Audio Analysis chain going from audio data to audio features to audio recognition. Further, an introduction to audio source separation, and enhancement and robustness are given. After the introductory parts, the book shows several applications for the three types of audio: speech, music, and general sound. Each task is shortly introduced, followed by a description of the specific data and methods applied, experiments and results, and a conclusion for this specific task. The books provides benchmark results and standardized test-beds for a broader range of audio analysis tasks. The main focus thereby lies on the parallel advancement of realism in audio analysis, as too often today\u2019s results are overly optimistic owing to idealized testing conditions, and it serves to stimulate synergies arising from transfer of methods and leads to a holistic audio analysis.", "publisher": "Springer Science & Business Media", "authors": ["Bj\u00f6rn W. Schuller"], "formats": [{"format": "pdf", "file_name": "Intelligent Audio Analysis - Bjorn W. Schuller.pdf", "dir_path": "Bjorn W. Schuller/Intelligent Audio Analysis (5)/", "size": 6114586}], "cover_url": "Bjorn W. 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Technol., doi:10.1007/s13347-017-0273-3", "publisher": "Philosophy & Technology", "authors": ["Dan McQuillan"], "formats": [{"format": "pdf", "file_name": "Data Science as Machinic Neopla - Dan McQuillan.pdf", "dir_path": "Dan McQuillan/Data Science as Machinic Neoplatonis (12)/", "size": 424642}], "cover_url": "Dan McQuillan/Data Science as Machinic Neoplatonis (12)/cover.jpg", "identifiers": [{"scheme": "doi", "code": "10.1007/s13347-017-0273-3"}], "languages": []}, "8558647f-101d-43ff-a531-5df8eb87199a": {"title": "The Vision Machine", "title_sort": "Vision Machine, The", "pubdate": "1994-09-14 14:00:00+00:00", "last_modified": "2020-09-19 13:52:55.465000+00:00", "library_uuid": "ac02bcce-a920-4add-befb-1dbc71589681", "librarian": "Em Azon", "_id": "8558647f-101d-43ff-a531-5df8eb87199a", "tags": ["Performing Arts", "Film", "General"], "abstract": "
\n

\"Virilio offers a cool, precise look at an impending future in which reality shall simply cease to exist. Highly recommended.\" -- Choice Surveying art history as well as the technologies of war and urban planning, one of France's leading intellectuals provides an introduction to a new \"logistics of the image.\"

", "publisher": "Indiana University Press", "authors": ["Paul Virilio"], "formats": [{"format": "pdf", "file_name": "The Vision Machine - Paul Virilio.pdf", "dir_path": "Paul Virilio/The Vision Machine (13)/", "size": 663881}], "cover_url": "Paul Virilio/The Vision Machine (13)/cover.jpg", "identifiers": [{"scheme": "google", "code": "zpduPwAACAAJ"}, {"scheme": "isbn", "code": "9780253325747"}], "languages": ["eng"]}, "fac6c1a2-946f-43c4-83f5-e54fd7185c18": {"title": "Adversarial Music: Real world Audio Adversary against Wake-word Detection System", "title_sort": "Adversarial Music: Real world Audio Adversary against Wake-word Detection System", "pubdate": "0101-01-01 00:00:00+00:00", "last_modified": "2020-09-20 03:56:31.673000+00:00", "library_uuid": "ac02bcce-a920-4add-befb-1dbc71589681", "librarian": "Em Azon", "_id": "fac6c1a2-946f-43c4-83f5-e54fd7185c18", "tags": ["Neural Information Processing Systems http://nips.cc/"], "abstract": "", "publisher": "", "authors": ["Juncheng Li", "Shuhui Qu", "Xinjian Li", "Joseph Szurley", "J. 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\n

This is the first of three radio shows as part of Jasmine's guest residency at Noods Radio. It features an interview with academic and sound curator James Parker about his research into machine listening as well as a selection of electronic music.

", "publisher": "Noods Radio", "authors": ["James Parker", "Jasmine Guffond"], "formats": [{"format": "mp3", "file_name": "James Parker - James Parker.mp3", "dir_path": "James Parker/James Parker (30)/", "size": 143879028}], "cover_url": "James Parker/James Parker (30)/cover.jpg", "identifiers": [], "languages": ["eng"], "series": "Computational Listening"}, "1bc54cd0-cbf6-4e3a-93f9-0df156cef85e": {"title": "Angie Abdilla", "title_sort": "Angie Abdilla", "pubdate": "2020-09-15 00:00:00+00:00", "last_modified": "2020-09-28 12:56:53.600112+00:00", "library_uuid": "ac02bcce-a920-4add-befb-1dbc71589681", "librarian": "Em Azon", "_id": "1bc54cd0-cbf6-4e3a-93f9-0df156cef85e", "tags": ["Audiobook", "Interview"], "abstract": "", "publisher": "Liquid Architecture", "authors": ["Angie Abdilla", "James Parker", "Joel Stern", "Sean Dockray"], "formats": [{"format": "mp3", "file_name": "Angie Abdilla - Angie Abdilla.mp3", "dir_path": "Angie Abdilla/Angie Abdilla (31)/", "size": 46588384}], "cover_url": "Angie Abdilla/Angie Abdilla (31)/cover.jpg", "identifiers": [], "languages": ["eng"], "series": "Machine Listening Curriculum"}, "32211ea3-1fed-463c-a15f-a315c7b0c6fb": {"title": "Vocal Features: From Voice Identification to Speech Recognition by Machine", "title_sort": "Vocal Features: From Voice Identification to Speech Recognition by Machine", "pubdate": "2019-04-28 14:00:00+00:00", "last_modified": "2020-09-29 07:08:47.723755+00:00", "library_uuid": "ac02bcce-a920-4add-befb-1dbc71589681", "librarian": "Em Azon", "_id": "32211ea3-1fed-463c-a15f-a315c7b0c6fb", "tags": [], "abstract": "
\n

Technology and Culture, Volume 60, Number 2 Supplement, April 2019, pp. S129-S160 (Article)

", "publisher": "Johns Hopkins University Press", "authors": ["Xiaochang Li", "Mara Mills"], "formats": [{"format": "pdf", "file_name": "Vocal Features_ From Voice Iden - Xiaochang Li.pdf", "dir_path": "Xiaochang Li/Vocal Features_ From Voice Identific (32)/", "size": 19018885}], "cover_url": "Xiaochang Li/Vocal Features_ From Voice Identific (32)/cover.jpg", "identifiers": [{"scheme": "doi", "code": "10.1353/tech.2019.0066"}], "languages": [], "series": "Technology and Culture"}, "77fb153f-feb5-418d-ad79-c08777a8a767": {"title": "Performing Algorithms: Automation and Accident", "title_sort": "Performing Algorithms: Automation and Accident", "pubdate": "2019-11-22 01:53:58+00:00", "last_modified": "2020-09-29 13:24:57.372862+00:00", "library_uuid": "ac02bcce-a920-4add-befb-1dbc71589681", "librarian": "Em Azon", "_id": "77fb153f-feb5-418d-ad79-c08777a8a767", "tags": [], "abstract": "
\n

Performing Algorithms: Automation and Accident investigates how artists might stage encounters with the algorithms driving our post-industrial, big-data-based, automatic society. Several important theories of this contemporary condition are discussed, including control societies, post-industrial societies, the automatic society, the cybernetic hypothesis, and algorithmic governmentality. These concepts are interwoven with histories of labour and automation, recent developments in machine learning and neural networks, and my own past work.

", "publisher": "", "authors": ["Sean Dockray"], "formats": [{"format": "pdf", "file_name": "Performing Algorithms_ Automati - Sean Dockray.pdf", "dir_path": "Sean Dockray/Performing Algorithms_ Automation an (33)/", "size": 1671206}], "cover_url": "Sean Dockray/Performing Algorithms_ Automation an (33)/cover.jpg", "identifiers": [], "languages": []}, "731924ff-868d-4692-a184-b28e335e1871": {"title": "Aural Contract\u2013Forensic Listening and The Reorganization Of The Speaking Subject", "title_sort": "Aural Contract\u2013Forensic Listening and The Reorganization Of The Speaking Subject", "pubdate": "2014-09-28 14:00:00+00:00", "last_modified": "2020-09-29 13:29:02.082983+00:00", "library_uuid": "ac02bcce-a920-4add-befb-1dbc71589681", "librarian": "Em Azon", "_id": "731924ff-868d-4692-a184-b28e335e1871", "tags": [], "abstract": "", "publisher": "", "authors": ["Lawrence Abu-Hamdan"], "formats": [{"format": "pdf", "file_name": "Aural Contract-Forensic Listeni - Lawrence Abu-Hamdan.pdf", "dir_path": "Lawrence Abu-Hamdan/Aural Contract-Forensic Listening an (34)/", "size": 281329}], "cover_url": "Lawrence Abu-Hamdan/Aural Contract-Forensic Listening an (34)/cover.jpg", "identifiers": [], "languages": []}, "d6b5c725-9964-4218-9157-b3d6fd7ca62a": {"title": "All Ears: The Aesthetics of Espionage", "title_sort": "All Ears: The Aesthetics of Espionage", "pubdate": "2016-11-13 19:47:00+00:00", "last_modified": "2020-09-29 13:32:51.167591+00:00", "library_uuid": "ac02bcce-a920-4add-befb-1dbc71589681", "librarian": "Em Azon", "_id": "d6b5c725-9964-4218-9157-b3d6fd7ca62a", "tags": [], "abstract": "", "publisher": "", "authors": ["Peter Szendy", "Ronland V\u00e9gs\u0151"], "formats": [{"format": "pdf", "file_name": "All Ears_ The Aesthetics of Esp - Peter Szendy.pdf", "dir_path": "Peter Szendy/All Ears_ The Aesthetics of Espionag (35)/", "size": 7406040}], "cover_url": "Peter Szendy/All Ears_ The Aesthetics of Espionag (35)/cover.jpg", "identifiers": [], "languages": []}, "df9843b1-3bcc-41cf-8199-10f8fdbd9f70": {"title": "COVID-19 and Computer Audition: An Overview on What Speech & Sound Analysis Could Contribute in the SARS-CoV-2 Corona Crisis", "title_sort": "Schuller et al. - 2020", "pubdate": "2020-03-26 00:39:12+00:00", "last_modified": "2020-09-29 13:36:16.844192+00:00", "library_uuid": "ac02bcce-a920-4add-befb-1dbc71589681", "librarian": "Em Azon", "_id": "df9843b1-3bcc-41cf-8199-10f8fdbd9f70", "tags": [], "abstract": "", "publisher": "", "authors": ["Bj\u00f6rn W. Schuller", "Dagmar M. Schuller", "Kun Qian", "Juan Liu", "Huaiyuan Zheng", "Xiao Li"], "formats": [{"format": "pdf", "file_name": "COVID-19 and Computer Audition_ - Bjorn W. Schuller.pdf", "dir_path": "Bjorn W. Schuller/COVID-19 and Computer Audition_ An O (36)/", "size": 137886}], "cover_url": "Bjorn W. Schuller/COVID-19 and Computer Audition_ An O (36)/cover.jpg", "identifiers": [], "languages": []}, "a5b976b9-be6c-4c87-ac18-c987f93f9073": {"title": "Machine Musicianship", "title_sort": "Machine Musicianship", "pubdate": "2009-07-19 18:19:09+00:00", "last_modified": "2020-09-29 13:36:59.015719+00:00", "library_uuid": "ac02bcce-a920-4add-befb-1dbc71589681", "librarian": "Em Azon", "_id": "a5b976b9-be6c-4c87-ac18-c987f93f9073", "tags": [], "abstract": "", "publisher": "", "authors": ["Robert Rowe"], "formats": [{"format": "pdf", "file_name": "Machine Musicianship - Robert Rowe.pdf", "dir_path": "Robert Rowe/Machine Musicianship (37)/", "size": 6680890}], "cover_url": "Robert Rowe/Machine Musicianship (37)/cover.jpg", "identifiers": [], "languages": []}, "44fee696-8bb2-417d-b71b-ea5544be2483": {"title": "Profiling Humans From Their Voice", "title_sort": "Profiling Humans From Their Voice", "pubdate": "2019-06-30 14:00:00+00:00", "last_modified": "2020-09-29 13:38:34.187546+00:00", "library_uuid": "ac02bcce-a920-4add-befb-1dbc71589681", "librarian": "Em Azon", "_id": "44fee696-8bb2-417d-b71b-ea5544be2483", "tags": ["Technology & Engineering", "Electronics", "General", "Computers", "Intelligence (AI) & Semantics", "Engineering (General)", "Social Science", "Criminology", "Computer Vision & Pattern Recognition", "Imaging Systems", "Electrical", "Fire Science", "Optical Data Processing"], "abstract": "
\n

This book is about recent research in the area of profiling humans from their voice, which seeks to deduce and describe the speaker's entire persona and their surroundings from voice alone. It covers several key aspects of this technology, describing how the human voice is unique in its ability to both capture and influence the human persona -- how, in some ways, voice is more potent and valuable then DNA and fingerprints as a metric, since it not only carries information about the speaker, but also about their current state and their surroundings at the time of speaking. It provides a comprehensive review of advances made in multiple scientific fields that now contribute to its foundations. It describes how artificial intelligence enables mechanisms of discovery that were not possible before in this context, driving the field forward in unprecedented ways. It also touches upon related and relevant challenges posed by voice disguise and other mechanisms of voice manipulation. The book acts as a good resource for academic researchers, and for professional agencies in many areas such as law enforcement, healthcare, social services, entertainment etc.

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