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Evaluation Framework for Automatic Singing Transcription
A novel, comprehensive and freely available evaluation framework for automatic singing transcription is presented, which consists of a cross-annotated dataset and a set of extended evaluation measures, which are integrated in a Matlab toolbox. Expand
Optical Music Recognition for Scores Written in White Mensural Notation
An Optical Music Recognition (OMR) system especially adapted for handwritten musical scores of the XVII-th and the early XVIII-th centuries written in white mensural notation is presented and will help to preserve the cultural heritage keeping the musical information of the scores in a digital format. Expand
Inharmonicity-Based Method for the Automatic Generation of Guitar Tablature
A system for the extraction of the tablature of guitar musical pieces using only the audio waveform to estimate both the notes played and the string/fret combination that was used to produce that sound. Expand
Automatic Transcription of Guitar Chords and Fingering From Audio
The method was evaluated on recordings from the acoustic, electric, and the Spanish guitar and clearly outperformed a non-guitar-specific reference chord transcription method despite the fact that the number of chords considered here is significantly larger. Expand
SiPTH: Singing Transcription Based on Hysteresis Defined on the Pitch-Time Curve
This method is designed to perform note segmentation even when the pitch evolution during the same note behaves unstably, as in the case of untrained singers, and improves significantly the performance of the baseline approach. Expand
Fundamental frequency alignment vs. note-based melodic similarity for singing voice assessment
The results show that the proposed system is suitable for automatic singing voice rating and that DTW based measures are specially simple and effective for intonation and rhythm assessment. Expand
The Importance of F0 Tracking in Query-by-singing-humming
It is found that F0 tracking overall accuracy correlates with QBSH performance, but it does not totally measure the suitability of a pitch vector for QBSB, and there are clear differences in robustness to F0 transcription errors between different matchers. Expand
Humming Method for Content-Based Music Information Retrieval
The humming method uses a database with real songs and does not need another type of symbolic representation of them and employs an original fingerprint based on chroma vectors to characterize the humming and the references songs. Expand
Automatic melody composition based on a probabilistic model of music style and harmonic rules
The methods proposed in this paper take into consideration different aspects related to the traditional way in which music is composed by humans such as harmony evolution and structure repetitions and apply them together with the probabilistic reutilization of rhythm patterns and pitch contours learned beforehand to compose music pieces. Expand
Transcription of piano recordings
Abstract A system for automatic identification of polyphonic piano recordings based on a heuristic approach is presented. The input to the transcription system is any piano piece sampled at 44.1 kHz.Expand