In 1975 Parsons developed his dictionary of musical themes based on a simple contour representation. The motivation was that people with little training in music would be able to identify pieces of music. We decided to test whether people of various levels of musical skill could indeed make

Abstract — Searching audio collections using high-level musical descriptors is a difficult problem, due to the lack of reliable methods for extracting melody, harmony, rhythm, and other such descriptors from unstructured audio signals. In the paper, we present a novel approach to melody-based

... describe music. They are commonly used to structure the increasing amounts of music available in digital form on the Web and are important for music information retrieval. Genre categorization for audio has traditionally been performed manually. A particular musical genre is characterized

We propose a mid-level melody-based representation that incorporates melodic, rhythmic and structural aspects of a music signal and is useful for calculating audio similarity measures. Most current approaches to music similarity use either low-level signal features, such as MFCCs that mostly

various melody-based features relate to folk song variants. Specifically, we explore whether we can derive a melodic similarity measure that would correlate to variant types in the sense that it would measure songs belonging to the same variant type as more similar, in contrast to songs from different

The melody of a musical piece – informally, the part you would hum along with – is a useful and compact summary of a full audio recording. The extraction of melodic content has practical applications ranging from content-based audio retrieval to the analysis of musical structure. Whereas previous

A melody-based retrieval of music, which is one type of the content-based retrieval, is proposed in the paper. Every fragment of a melody is represented as an appropriate N-dimensional vector, called a feature vector. A feature vector consists of values corresponding to intervals and rhythm of a

The emergence of audio and video data types in databases will require new information retrieval methods adapted to the specific characteristics and needs of these data types. An effective and natural way of querying a musical audio database is by humming the tune of a song. In this paper, a system

ABSTRACT: This paper describes a WWW-based melody retrieval system which takes a sung melody as a query and retrieves the song’s title from a music database. In previous works, the pitch information was mainly used as a search clue while the span information was not used effectively

Though many systems exist for content-based retrieval of images, little work has been done on the audio portion of the multimedia stream. This paper presents a system to retrieve audio documents by acoustic similarity. The similarity measure is based on statistics derived from a supervised vector