Music information retrieval: Recent developments and applications
We provide a survey of the field of Music Information Retrieval (MIR), in particular paying
attention to latest developments, such as semantic auto-tagging and user-centric retrieval …
attention to latest developments, such as semantic auto-tagging and user-centric retrieval …
Conducting behavioral research on Amazon's Mechanical Turk
Abstract Amazon's Mechanical Turk is an online labor market where requesters post jobs
and workers choose which jobs to do for pay. The central purpose of this article is to …
and workers choose which jobs to do for pay. The central purpose of this article is to …
Using Twitter for demographic and social science research: tools for data collection and processing
TH McCormick, H Lee, N Cesare… - … methods & research, 2017 - journals.sagepub.com
Despite recent and growing interest in using Twitter to examine human behavior and
attitudes, there is still significant room for growth regarding the ability to leverage Twitter data …
attitudes, there is still significant room for growth regarding the ability to leverage Twitter data …
Learning from crowdsourced labeled data: a survey
With the rapid growing of crowdsourcing systems, quite a few applications based on a
supervised learning paradigm can easily obtain massive labeled data at a relatively low …
supervised learning paradigm can easily obtain massive labeled data at a relatively low …
Crowdsourcing for search evaluation
The Crowdsourcing for Search Evaluation Workshop (CSE 2010) was held on July 23, 2010
in Geneva, Switzerland, in conjunction with the 33rd Annual ACM SIGIR Conference. The …
in Geneva, Switzerland, in conjunction with the 33rd Annual ACM SIGIR Conference. The …
Users' music information needs and behaviors: Design implications for music information retrieval systems
User studies in the music information retrieval (MIR) domain tend to be exploratory and
qualitative in nature, involving a small number of users, which makes it difficult to derive …
qualitative in nature, involving a small number of users, which makes it difficult to derive …
Evaluation in music information retrieval
Abstract The field of Music Information Retrieval has always acknowledged the need for
rigorous scientific evaluations, and several efforts have set out to develop and provide the …
rigorous scientific evaluations, and several efforts have set out to develop and provide the …
Evaluating descriptive quality of ai-generated audio using image-schemas
Novel AI-generated audio samples are evaluated for descriptive qualities such as the
smoothness of a morph using crowdsourced human listening tests. However, the methods to …
smoothness of a morph using crowdsourced human listening tests. However, the methods to …
Melodic similarity through shape similarity
We present a new geometric model to compute the melodic similarity of symbolic musical
pieces. Melodies are represented as splines in the pitch-time plane, and their similarity is …
pieces. Melodies are represented as splines in the pitch-time plane, and their similarity is …
Exploring the music perception skills of crowd workers
Music content annotation campaigns are common on paid crowdsourcing platforms. Crowd
workers are expected to annotate complicated music artefacts, which can demand certain …
workers are expected to annotate complicated music artefacts, which can demand certain …