Understanding Optical Music Recognition

For over 50 years, researchers have been trying to teach computers to read music notation, referred to as Optical Music Recognition (OMR). However, this field is still difficult to access for new researchers, especially those without a significant musical background: Few introductory materials are available, and, furthermore, the field has struggled with defining itself and building a shared terminology. In this work, we address these shortcomings by (1) providing a robust definition of OMR and its relationship to related fields, (2) analyzing how OMR inverts the music encoding process to recover the musical notation and the musical semantics from documents, and (3) proposing a taxonomy of OMR, with most notably a novel taxonomy of applications. Additionally, we discuss how deep learning affects modern OMR research, as opposed to the traditional pipeline. Based on this work, the reader should be able to attain a basic understanding of OMR: its objectives, its inherent structure, its relationship to other fields, the state of the art, and the research opportunities it affords

Writer identification using curvature-free features

Feature engineering takes a very important role in writer identification which has been widely studied in the literature. Previous works have shown that the joint feature distribution of two properties can improve the performance. The joint feature distribution makes feature relationships explicit instead of roping that a trained classifier picks up a non-linear relation present in the data. In this paper, we propose two novel and curvature-free features: run-lengths of local binary pattern (LBPruns) and cloud of line distribution (COLD) features for writer identification. The LBPruns is the joint distribution of the traditional run-length and local binary pattern (LBP) methods, which computes the run-lengths of local binary patterns on both binarized and gray scale images. The COLD feature is the joint distribution of the relation between orientation and length of line segments obtained from writing contours in handwritten documents. Our proposed LBPruns and COLD are textural-based curvature-free features and capture the line information of handwritten texts instead of the curvature information. The combination of the LBPruns and COLD features provides a significant improvement on the CERUG data set, handwritten documents on which contain a large number of irregular-curvature strokes. The results of proposed features evaluated on other two widely used data sets (Firemaker and IAM) demonstrate promising results

Text-independent chinese writer identification using hybrid SLT-LBP feature

This study proposes a new hybrid method using texture features of input handwriting document image as global to overcome the limitation of data heterogeneity, which causing the ambiguity and leads to inconsistent results apart from problems of scale involve database size. The method first adopts Slantlet Transform (SLT) to bring out hidden texture details prior to feature extractions. Then, Local Binary Pattern (LBP) descriptor is applied on the SLT image to extract texture features. A new hybrid method Slantlet Transform based Local Binary Pattern (SLT-LBP), are experimented on an open and widely used HIT-MW Chinese database for performance evaluation. This study strengthens the idea that to unravel some of data heterogeneity and lead to improve identification performance, especially searching for relevant document from large complex repositories is an essential issue

The social life of transcriptions : Interactions around women's songs in Kangra

Moving oral traditions into the domain of the printed word involves a first step of transcription.1 Anyone who has transcribed recordings from fieldwork will recollect the grinding effort demanded by this task. One listens again and again: striving to catch the meaning and tone of words as they gallop past, struggling to coax a herd of words into orderly lines, straining to remain attentive to other sounds--comments, interjections, interruptions, parallel performances--that are simultaneously shaping a text.Issue title: Transmissions and Transitions in Indian Oral Traditions

Spartan Daily, September 17, 1986

Volume 87, Issue 14https://scholarworks.sjsu.edu/spartandaily/7471/thumbnail.jp

Spartan Daily, September 17, 1986

Volume 87, Issue 14https://scholarworks.sjsu.edu/spartandaily/7471/thumbnail.jp

Lanthorn, vol. 42, no. 11, September 27, 2007

Lanthorn is Grand Valley State\u27s student newspaper, published from 1968 to the present

The Montclarion, October 19, 2006

Student Newspaper of Montclair State Universit

Native Artists: Livelihoods, Resources, Space, Gifts

Examines the experiences of Ojibwe artists in Minnesota, including access to training, funding, space, paying markets, and institutional support; discrimination and isolation; and relationships with communities. Profiles artists and makes recommendations