5 research outputs found
Visualizing Classifier Adjacency Relations: A Case Study in Speaker Verification and Voice Anti-Spoofing
Whether it be for results summarization, or the analysis of classifier
fusion, some means to compare different classifiers can often provide
illuminating insight into their behaviour, (dis)similarity or complementarity.
We propose a simple method to derive 2D representation from detection scores
produced by an arbitrary set of binary classifiers in response to a common
dataset. Based upon rank correlations, our method facilitates a visual
comparison of classifiers with arbitrary scores and with close relation to
receiver operating characteristic (ROC) and detection error trade-off (DET)
analyses. While the approach is fully versatile and can be applied to any
detection task, we demonstrate the method using scores produced by automatic
speaker verification and voice anti-spoofing systems. The former are produced
by a Gaussian mixture model system trained with VoxCeleb data whereas the
latter stem from submissions to the ASVspoof 2019 challenge.Comment: Accepted to Interspeech 2021. Example code available at
https://github.com/asvspoof-challenge/classifier-adjacenc
an important partnership for decades
Graesch, J. P., Hensel-Börner, S., & Henseler, J. (2021). Information technology and marketing: an important partnership for decades. Industrial Management and Data Systems, 121(1), 123-157. https://doi.org/10.1108/IMDS-08-2020-0510Purpose: The enabling technologies that emerged from information technology (IT) have had a considerable influence upon the development of marketing tools, and marketing has become digitalized by adopting these technologies over time. The purpose of this paper is to demonstrate the impacts of these enabling technologies on marketing tools in the past and present and to demonstrate their potential future. Furthermore, it provides guidance about the digital transformation occurring in marketing and the need to align of marketing and IT. Design/methodology/approach: This study demonstrates the impact of enabling technologies on the subsequent marketing tools developed through a content analysis of information systems and marketing conference proceedings. It offers a fresh look at marketing's digital transformation over the last 40 years. Moreover, it initially applies the findings to a general digital transformation model from another field to verify its presence in marketing. Findings: This paper identifies four eras within the digital marketing evolution and reveals insights into a potential fifth era. This chronological structure verifies the impact of IT on marketing tools and accordingly the digital transformation within marketing. IT has made digital marketing tools possible in all four digital transformation levers: automation, customer interaction, connectivity and data. Practical implications: The sequencing of enabling technologies and subsequent marketing tools demonstrates the need to align marketing and IT to design new marketing tools that can be applied to customer interactions and be used to foster marketing control. Originality/value: This study is the first to apply the digital transformation levers, namely, automation, customer interaction, connectivity and data, to the marketing discipline and contribute new insights by demonstrating the chronological development of digital transformation in marketing.authorsversionpublishe