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ISMIR
2005
Springer
173views Music» more  ISMIR 2005»
14 years 5 months ago
Audio Matching via Chroma-Based Statistical Features
In this paper, we describe an efficient method for audio matching which performs effectively for a wide range of classical music. The basic goal of audio matching can be describe...
Meinard Müller, Frank Kurth, Michael Clausen
ISMIR
2005
Springer
179views Music» more  ISMIR 2005»
14 years 5 months ago
Databionic Visualization of Music Collections According to Perceptual Distance
We describe the MusicMiner system for organizing large collections of music with databionic mining techniques. Low level audio features are extracted from the raw audio data on sh...
Fabian Mörchen, Alfred Ultsch, Mario Nöc...
ISMIR
2005
Springer
141views Music» more  ISMIR 2005»
14 years 5 months ago
Rhythm-Based Segmentation of Popular Chinese Music
We present a new method to segment popular music based on rhythm. By computing a shortest path based on the self-similarity matrix calculated from a model of rhythm, segmenting bo...
Kristoffer Jensen, Jieping Xu, Martin Zachariasen
ISMIR
2005
Springer
182views Music» more  ISMIR 2005»
14 years 5 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 5 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 5 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 5 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 5 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 5 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 5 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...