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Ground-Truth Transcriptions of Real Music from Force-Aligned MIDI Syntheses
(Johns Hopkins University, 2003-10-26)
Many modern polyphonic music transcription algorithms are presented in a statistical pattern recognition framework. But without a large corpus of real-world music transcribed at the note level, these algorithms are unable ...
A HMM-Based Pitch Tracker for Audio Queries
(Johns Hopkins University, 2003-10-26)
In this paper we present an approach to the transcription of musical queries based on a HMM. The HMM is used to model the audio features related to the singing voice, and the transcription is obtained through Viterbi ...
Features for audio and music classification
(Johns Hopkins University, 2003-10-26)
Four audio feature sets are evaluated in their ability to classify five general audio classes and seven popular music genres. The feature sets include low-level signal properties, mel-frequency spectral coefficients, and ...
Quantitative Comparisons into Content-Based Music Recognition with the Self Organising Map
(Johns Hopkins University, 2003-10-26)
With so much modern music being so widely available both in electronic form and in more traditional physical formats, a great opportunity exists for the development of a general-purpose recognition and music classification ...
A multiple feature model for musical similarity retrieval
(Johns Hopkins University, 2003-10-26)
Automated musical similarity search and retrieval has gained great attention in recent years, as testified by the number of proposed approaches on this topic. Despite the ``fuzzy'' nature of similarity, which varies from ...
Automatic Synchronization of Music Data in Score-, MIDI- and PCM-Format
(Johns Hopkins University, 2003-10-26)
In this paper we present algorithms for the automatic time-synchronization of score-, MIDI- or PCM-data streams which represent the same polyphonic piano piece.
A SVM ¨C Based Classification Approach to Musical Audio
(Johns Hopkins University, 2003-10-26)
This paper describes an automatic heirarchical music classification approach based on support vector machines (SVM). Based on the proposed method, the music is classified into coursed classes such as vocal, instrumental ...
Rhythmic Similarity through Elaboration
(Johns Hopkins University, 2003-10-26)
Rhythmic similarity techniques for audio tend to evaluate how close to identical two rhythms are. This paper proposes a similarity metric based on rhythmic elaboration that matches rhythms that share the same beats regardless ...
Automatic Labelling of Tabla Signals
(Johns Hopkins University, 2003-10-26)
Most of the recent developments in the field of music indexing and music information retrieval are focused on western music. In this paper, we present an automatic music transcription system dedicated to Tabla - a North ...
Chord Segmentation and Recognition using EM-Trained Hidden Markov Models
(Johns Hopkins University, 2003-10-26)
Automatic extraction of content description from commercial audio recordings has a number of important applications, from indexing and retrieval through to novel musicological analyses based on very large corpora of recorded ...