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Yung-Sen Jang

dblp:06/4398 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2003
—ORCID · none

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

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

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%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 100%

Topics — the 4 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Audio and music processing › music information retrieval
melody recognition		 0.012003
Microcontroller implementation of melody recognition: a prototype · ACM Multimedia 2003
Audio and music processing
music information retrieval		 0.012003
Microcontroller implementation of melody recognition: a prototype · ACM Multimedia 2003
Audio and music processing › music information retrieval › melody retrieval
query-by-humming		 0.012003
Microcontroller implementation of melody recognition: a prototype · ACM Multimedia 2003
Embedded and real-time systems › embedded software engineering › embedded software development
microcontroller deployment		 0.012003
Microcontroller implementation of melody recognition: a prototype · ACM Multimedia 2003

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

pitch extraction · 0.1content-based music retrieval · 0.1
YearPublicationVenuePosition
2003 Microcontroller implementation of melody recognition: a prototype
abstract
This demo presents a 16-bit microcontroller implementation of a content-based music retrieval system that can take a user's acoustic input (5-second clip of singing or humming) and then retrieve the intended song from 20 candidate songs. Performance evaluation based on 192 clips shows that the system has a satisfactory top-1 recognition rate of 92%. This system demonstrates the feasibility of microcontroller based melody recognition for music retrieval, which can be used in consumer electronics such as melody-activated interactive toys, query engines for MP3 players or karaoke machines, and so on.
Jyh-Shing Roger Jang, Yung-Sen Jang
 ACM Multimedia2