Sciweavers

ISMIR
2005
Springer
182views Music» more  ISMIR 2005»
14 years 6 months ago
The Mel-Frequency Cepstral Coefficients in the Context of Singer Identification
The singing voice is the oldest and most complex musical instrument. A familiar singer’s voice is easily recognizable for humans, even when hearing a song for the first time. O...
Annamaria Mesaros, Jaakko Astola
ISMIR
2005
Springer
150views Music» more  ISMIR 2005»
14 years 6 months ago
Comparing Pitch Spelling Algorithms
A pitch spelling algorithm predicts the pitch names of the notes in a musical passage when given the onset-time, MIDI note number and possibly the duration and voice of each note....
David Meredith, Geraint A. Wiggins
ISMIR
2005
Springer
122views Music» more  ISMIR 2005»
14 years 6 months ago
Continuous HMM and Its Enhancement for Singing/Humming Query Retrieval
The use of HMM (Hidden Markov Models) for speech recognition has been successful for various applications in the past decades. However, the use of continuous HMM (CHMM) for melody...
Jyh-Shing Roger Jang, Chao-Ling Hsu, Hong-Ru Lee
ISMIR
2005
Springer
145views Music» more  ISMIR 2005»
14 years 6 months ago
An Investigation of Feature Models for Music Genre Classification Using the Support Vector Classifier
In music genre classification the decision time is typically of the order of several seconds, however, most automatic music genre classification systems focus on short time feat...
Anders Meng, John Shawe-Taylor
ISMIR
2005
Springer
188views Music» more  ISMIR 2005»
14 years 6 months ago
What You See Is What You Get: on Visualizing Music
Though music is fundamentally an aural phenomenon, we often communicate about music through visual means. The paper examines a number of visualization techniques developed for mus...
Eric J. Isaacson
ISMIR
2005
Springer
123views Music» more  ISMIR 2005»
14 years 6 months ago
Mining Music Reviews: Promising Preliminary Results
In this paper we present a system for the automatic mining of information from music reviews. We demonstrate a system which has the ability to automatically classify reviews accor...
Xiao Hu, J. Stephen Downie, Kris West, Andreas F. ...
ISMIR
2005
Springer
196views Music» more  ISMIR 2005»
14 years 6 months ago
ACE: A Framework for Optimizing Music Classification
This paper presents ACE (Autonomous Classification Engine), a framework for using and optimizing classifiers. Given a set of feature vectors, ACE experiments with a variety of cla...
Cory McKay, Rebecca Fiebrink, Daniel McEnnis, Bein...
ISMIR
2005
Springer
151views Music» more  ISMIR 2005»
14 years 6 months ago
Lyrics Recognition from a Singing Voice Based on Finite State Automaton for Music Information Retrieval
Recently, several music information retrieval (MIR) systems have been developed which retrieve musical pieces by the user’s singing voice. All of these systems use only the melo...
Toru Hosoya, Motoyuki Suzuki, Akinori Ito, Shozo M...
ISMIR
2005
Springer
185views Music» more  ISMIR 2005»
14 years 6 months ago
A Benchmark Dataset for Audio Classification and Clustering
We present a freely available benchmark dataset for audio classification and clustering. This dataset consists of 10 seconds samples of 1886 songs obtained from the Garageband si...
Helge Homburg, Ingo Mierswa, Bülent Möll...
ISMIR
2005
Springer
127views Music» more  ISMIR 2005»
14 years 6 months ago
Fast Capture of Sheet Music for an Agile Digital Music Library
A personal digital music library needs to be “agile”, that is, it needs to make it easy to capture and index material on the fly. A digital camera is a particularly effective...
Richard Lobb, Tim Bell, David Bainbridge