Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Thomas Rocher

dblp:13/7063 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · none

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

Databases, data management, data science and information retrieval · 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.

Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%
Computer graphics and multimedia
1 paper
Audio and music processing · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information retrieval › multimedia analysis and retrieval
music retrieval
0.112009
A robust retrieval system of polyphonic music based on chord progression similarity · SIGIR 2009
Audio and music processing › music transcription
chord recognition
0.012009
A robust retrieval system of polyphonic music based on chord progression similarity · SIGIR 2009

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

local alignment · 0.2
YearPublicationVenuePosition
2009 A robust retrieval system of polyphonic music based on chord progression similarity
abstract
Retrieval systems for polyphonic music rely on the automatic estimation of similarity between two musical pieces. In the case of symbolic music, existing systems either consider a monophonic reduction based on melody or propose algorithms with high complexity. In this paper, we propose a new approach. Musical pieces are represented as a sequence of chords which are estimated from groups of notes sounding at the same time. A root and a mode are associated to each chord. Local alignment is then applied for estimating a similarity score between these sequences. Experiments performed on MIDI files collected on the Internet show that the system proposed allows the retrieval of different versions of the same song.
Pierre Hanna, Thomas Rocher, Matthias Robine
SIGIR2