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Tesi sul tema "Audio data mining"

Autore: Grafiati
Pubblicato: 29 luglio 2024
Ultima modifica: 31 luglio 2024

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1

Levy, Marcel Andrew. "Ringermute an audio data mining toolkit /." abstract and full text PDF (free order & download UNR users only), 2005. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1433402.

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2

Kohlsdorf, Daniel. "Data mining in large audio collections of dolphin signals." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53968.

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Abstract (sommario):
The study of dolphin cognition involves intensive research of animal vocal- izations recorded in the field. In this dissertation I address the automated analysis of audible dolphin communication. I propose a system called the signal imager that automatically discovers patterns in dolphin signals. These patterns are invariant to frequency shifts and time warping transformations. The discovery algorithm is based on feature learning and unsupervised time series segmentation using hidden Markov models. Researchers can inspect the patterns visually and interactively run com- parative statistics bet
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3

Thambiratnam, Albert J. K. "Acoustic keyword spotting in speech with applications to data mining." Thesis, Queensland University of Technology, 2005. https://eprints.qut.edu.au/37254/1/Albert_Thambiratnam_Thesis.pdf.

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Abstract (sommario):
Keyword Spotting is the task of detecting keywords of interest within continu- ous speech. The applications of this technology range from call centre dialogue systems to covert speech surveillance devices. Keyword spotting is particularly well suited to data mining tasks such as real-time keyword monitoring and unre- stricted vocabulary audio document indexing. However, to date, many keyword spotting approaches have su®ered from poor detection rates, high false alarm rates, or slow execution times, thus reducing their commercial viability. This work investigates the application of keyword spot
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4

Fenet, Sébastien. "Empreintes audio et stratégies d'indexation associées pour l'identification audio à grande échelle." Thesis, Paris, ENST, 2013. http://www.theses.fr/2013ENST0051/document.

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Dans cet ouvrage, nous définissons précisément ce qu’est l’identification audio à grande échelle. En particulier, nous faisons une distinction entre l’identification exacte, destinée à rapprocher deux extraits sonores provenant d’un même enregistrement, et l’identification approchée, qui gère également la similarité musicale entre les signaux. A la lumière de ces définitions, nous concevons et examinons plusieurs modèles d’empreinte audio et évaluons leurs performances, tant en identification exacte qu’en identificationapprochée<br>N this work we give a precise definition of large scale audio
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5

Fenet, Sébastien. "Empreintes audio et stratégies d'indexation associées pour l'identification audio à grande échelle." Electronic Thesis or Diss., Paris, ENST, 2013. http://www.theses.fr/2013ENST0051.

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Abstract (sommario):
Dans cet ouvrage, nous définissons précisément ce qu’est l’identification audio à grande échelle. En particulier, nous faisons une distinction entre l’identification exacte, destinée à rapprocher deux extraits sonores provenant d’un même enregistrement, et l’identification approchée, qui gère également la similarité musicale entre les signaux. A la lumière de ces définitions, nous concevons et examinons plusieurs modèles d’empreinte audio et évaluons leurs performances, tant en identification exacte qu’en identificationapprochée<br>N this work we give a precise definition of large scale audio
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6

Ferroudj, Meriem. "Detection of rain in acoustic recordings of the environment using machine learning techniques." Thesis, Queensland University of Technology, 2015. https://eprints.qut.edu.au/82848/1/Meriem_Ferroudj_Thesis.pdf.

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This thesis is concerned with the detection and prediction of rain in environmental recordings using different machine learning algorithms. The results obtained in this research will help ecologists to efficiently analyse environmental data and monitor biodiversity.
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7

Bayle, Yann. "Apprentissage automatique de caractéristiques audio : application à la génération de listes de lecture thématiques." Thesis, Bordeaux, 2018. http://www.theses.fr/2018BORD0087/document.

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Ce mémoire de thèse de doctorat présente, discute et propose des outils de fouille automatique de mégadonnées dans un contexte de classification supervisée musical.L'application principale concerne la classification automatique des thèmes musicaux afin de générer des listes de lecture thématiques.Le premier chapitre introduit les différents contextes et concepts autour des mégadonnées musicales et de leur consommation.Le deuxième chapitre s'attelle à la description des bases de données musicales existantes dans le cadre d'expériences académiques d'analyse audio.Ce chapitre introduit notamment
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8

Wallace, Roy Geoffrey. "Fast and accurate phonetic spoken term detection." Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/39610/1/Roy_Wallace_Thesis.pdf.

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Abstract (sommario):
For the first time in human history, large volumes of spoken audio are being broadcast, made available on the internet, archived, and monitored for surveillance every day. New technologies are urgently required to unlock these vast and powerful stores of information. Spoken Term Detection (STD) systems provide access to speech collections by detecting individual occurrences of specified search terms. The aim of this work is to develop improved STD solutions based on phonetic indexing. In particular, this work aims to develop phonetic STD systems for applications that require open-vocabulary se
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9

Ziegler, Thomas. "Auswertung von Audit-Daten zur Optimierung von Workflows." [S.l. : s.n.], 2001. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB9386075.

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10

Wang, Tian. "Effective Thermal Resistance of Commercial Buildings Using Data Analysis of Whole-Building Electricity Data." Case Western Reserve University School of Graduate Studies / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1586524438396894.

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11

Alshatshati, Salahaldin Faraj. "Estimating Envelope Thermal Characteristics from Single Point in Time Thermal Images." University of Dayton / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1512648630005333.

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12

Zhang, Lei. "New data analytics and visualization methods in personal data mining, cancer data analysis and sports data visualization." 2017. http://scholarworks.gsu.edu/cs_diss/126.

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Abstract (sommario):
In this dissertation, we discuss a reading profiling system, a biological data visualization system and a sports visualization system. Self-tracking is getting increasingly popular in the field of personal informatics. Reading profiling can be used as a personal data collection method. We present UUAT, an unintrusive user attention tracking system. In UUAT, we used user interaction data to develop technologies that help to pinpoint a users reading region (RR). Based on computed RR and user interaction data, UUAT can identify a readers reading struggle or interest. A biomarker is a measurable s
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13

Mei, Chia-Hsing, and 梅嘉興. "Applying Data Mining Method to Evaluate Auditor Performance-An Example of Bank Internal Audit Data." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/xugc28.

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Abstract (sommario):
碩士<br>國立臺北科技大學<br>經營管理系碩士班<br>105<br>At an era of information explosion, everyone is expected to be overloaded with information every day. Among a bunch of information and matters, it is crucial that companies make an accurate judgement on which takes priority over others. In this study, the sample of the research is an Internal Audit Department of a certain finance holding company. By applying clustering and discriminant analysis of data mining, each auditor is assigned to cope with the audit case that suits him/her the most, and therefore, the company obtains a better performance rating and
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14

Chang, Shu-Ya, and 張淑雅. "A Research on Data Quality Analysis before Data Mining-The Audit on Informative Archives Which Were Sent by Government Institutions." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/995yae.

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Abstract (sommario):
碩士<br>國立臺北教育大學<br>資訊科學系碩士班<br>104<br>This research uses professional domain knowledge proposed by auditors to transform domain knowledge into a rule base of audit knowledge through programs, forming many control points to assist auditors to find high-risk information in Big Data. With collection mapping methods, the rule base of audit knowledge is mapped into sets needed for data quality analysis, and collective attributive analysis is utilized to analyze the data quality of informative archives which were sent by Government Institutions. Considering the actual need and execution effectiveness
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15

CHU, MAN-JU, and 朱曼如. "A Research of Using Digital Rules and Data Mining to Build an Investigation Model of the Audit Selecting Case." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/60721892982821023772.

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Abstract (sommario):
碩士<br>國立中正大學<br>會計所<br>94<br>In recent years, after the organizations have been informationalized, the checking procedure of audit verifying will need more and more Costs in the future. Because of the limits resources of audit, undermanned and hard collection of audit knowledge, modern auditors face the highest risks of auditing than before. How to utilize the information technology to detect and examine fraud efficiently is the most important subject in auditing nowadays. In order to accelerate the prospecting time and accuracy wholly, it is necessary to filter the normal materials and then c
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