Music Information Retrieval

ثبت نشده
چکیده

Music Information Retrieval (MIR) involves searching and organising large collections of music, or music information, according to their relevance to specific queries. This is particularly relevant given the vast quantities of musical information available in digital format, and the popularity of music-related digital services. The last four years have seen the introduction of a major conference series on the subject, the International Conference on Music Information Retrieval (ISMIR), as well as numerous symposia and workshops, gathering an expanding community of multidisciplinary researchers including librarians, computer scientists, musicians, electronic engineers and musicologists, amongst others. Furthermore, given its obvious commercial appeal, most media content owners and distributors (e.g. Philips, Sony, Apple) are actively involved in research in the field, while numerous libraries are seeking to incorporate some form of support for MIR in their on-line digital services.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Prototyping a Vibrato-Aware Query-By-Humming (QBH) Music Information Retrieval System for Mobile Communication Devices: Case of Chromatic Harmonica

Background and Aim: The current research aims at prototyping query-by-humming music information retrieval systems for smart phones. Methods: This multi-method research follows simulation technique from mixed models of the operations research methodology, and the documentary research method, simultaneously. Two chromatic harmonica albums comprised the research population. To achieve the purpose ...

متن کامل

Analaysis of IFLA Library Refrence Model’s Entities and Attrbutes For Iranian Traditional Music Resources (Case study: Morq-e sahar Song)

Background and Aim: The object of the  study was to Analyze IFLA Library Reference Model (LRM) Entities and Attributes for Iranian Traditional Music Resources, Case Study: Morq-e Sahar Song. Method: The  study inherits an applied content analysis method. All Entities and Attributes of  IFlA LRM Model based on  two checklists include:  Final report of IFlA LRM on August 2017 and Transition Mappi...

متن کامل

A Comparison of Language Modeling and Probabilistic Text Information Retrieval Approaches to Monophonic Music Retrieval

With interest in music information retrieval increasing the need for retrieval systems unique to music is also growing. Despite its unique properties music shares many similarities with text. The goal of this paper is to explore some of the capabilities and limitations of current text information retrieval systems as applied to the task of music retrieval. Monophonic music is converted into tex...

متن کامل

Analysis of Pre-Processing Methods for Music Information Retrieval in Noisy Environments using Mobile Devices

Recently, content-based music information retrieval (MIR) systems for mobile devices have attracted great interest. However, music retrieval systems are greatly affected by background noise when music is recorded in noisy environments. Therefore, we evaluated various pre-processing methods using the Philips method to determine the one that performs most robust music retrieval in such environmen...

متن کامل

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 and recommendation approaches. We first elaborate on well-established and proven methods for feature extraction and music indexing, from both the audio signal and contextual data sources about music items, such as ...

متن کامل

Text Information Retrieval Approach to Music Information Retrieval

This MIREX submission for symbolic music similarity task adopts textual information retrieval methodology in the process of music information retrieval. The main contribution of this approach is to utilize well established term weighting methods for text retrieval and check their suitability for music data. We use a simple feature extraction method, so that the performance of an algorithm depen...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2006