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Lijie Luo

dblp:331/1515 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Audio and music processing · 100%
Human-computer interaction and pervasive computing
1 paper
Learning and educational technologies · 100%

Topics — the 1 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Audio and music processing › music information retrieval
optical music recognition
0.612022
SingMaster: A Sight-singing Evaluation System of "Shoot and Sing" Based on Smartphone · ACM Multimedia 2022

Methods — techniques the papers use, named apart from their topics

pitch extraction · 1.1onset detection · 1.1note alignment · 1.1
YearPublicationVenuePosition
2022 SingMaster: A Sight-singing Evaluation System of "Shoot and Sing" Based on Smartphone
abstract
Based on the smart phone, this paper integrates OMR (Optical Music Recognition) with sight-singing evaluation, and develops a "shoot and sing" practice APP called SingMaster. This system is mainly composed of three modules: OMR, evaluation and user interface. The OMR module converts the score photographed in the real scene into a note reference sequence. The sight-sing evaluation module first completes the note transcription of the sound spectrum through onset detection and pitch extraction, then aligns the transcribed note sequence with the reference sequence, and performs the evaluation. Finally, the evaluation results are visually fed back to the practitioners through the user interface module. It can provide guidance for practitioners at any time, any place and on any score instead of a real teacher.
Wei Xu 0038, Lijie Luo, Xianke Wang
ACM Multimedia3