33 research outputs found
Levodopa-refractory hyperprolactinemia and pituitary findings in inherited disorders of biogenic amine metabolism
Elevated serum prolactin concentrations occur in inherited disorders of biogenic amine metabolism because dopamine deficiency leads to insufficient inhibition of prolactin secretion. This work from the International Working Group on Neurotransmitter Related Disorders (iNTD) presents the results of the first standardized study on levodopa-refractory hyperprolactinemia (LRHP; >1000 mU/L) and pituitary magnetic resonance imaging (MRI) abnormalities in patients with inherited disorders of biogenic amine metabolism. Twenty-six individuals had LRHP or abnormal pituitary findings on MRI. Tetrahydrobiopterin deficiencies were the most common diagnoses (n = 22). The median age at diagnosis of LRHP was 16 years (range: 2.5-30, 1st-3rd quartiles: 12.25-17 years). Twelve individuals (nine females) had symptoms attributed to hyperprolactinemia: menstruation-related abnormalities (n = 7), pubertal delay or arrest (n = 5), galactorrhea (n = 3), and decreased sexual functions (n = 2). MRI of the pituitary gland was obtained in 21 individuals; six had heterogeneity/hyperplasia of the gland, five had adenoma, and 10 had normal findings. Eleven individuals were treated with the dopamine agonist cabergoline, ameliorating the hyperprolactinemia-related symptoms in all those assessed. Routine monitoring of these symptoms together with prolactin concentrations, especially after the first decade of life, should be taken into consideration during follow-up evaluations. The potential of slow-release levodopa formulations and low-dose dopamine agonists as part of first-line therapy in the prevention and treatment of hyperprolactinemia should be investigated further in animal studies and human trials. This work adds hyperprolactinemia-related findings to the current knowledge of the phenotypic spectrum of inherited disorders of biogenic amine metabolism
Automatic transcription of Turkish microtonal music
Automatic music transcription, a central topic in music signal analysis, is typically limited to equal-tempered music and evaluated on a quartertone tolerance level. A system is proposed to automatically transcribe microtonal and heterophonic music as applied to the makam music of Turkey. Specific traits of this music that deviate from properties targeted by current transcription tools are discussed, and a collection of instrumental and vocal recordings is compiled, along with aligned microtonal reference pitch annotations. An existing multi-pitch detection algorithm is adapted for transcribing music with 20 cent resolution, and a method for converting a multi-pitch heterophonic output into a single melodic line is proposed. Evaluation metrics for transcribing microtonal music are applied, which use various levels of tolerance for inaccuracies with respect to frequency and time. Results show that the system is able to transcribe microtonal instrumental music at 20 cent resolution with an F-measure of 56.7%, outperforming state-of-the-art methods for the same task. Case studies on transcribed recordings are provided, to demonstrate the shortcomings and the strengths of the proposed method.QC 20161031</p
A Hierarchical Approach to Makam Classification of Turkish Makam Music, Using Symbolic Data
Reading Occupied Istanbul: Turkish Subject-Formation from Historical Trauma to Literary Trope
Experiments on the Relationship between Perde and Seyir in Turkish Makam Music
"WHEN I WAS A KID, THE ELDERS IN THE VILLAGE COULD TELL THE MAKAM OF A PIECE JUST BY LISTENING." While interviewing performers, enthusiasts, and experts in traditional Turkish taksims (improvisations), variations of this comment were made many times. Some of the respondents claimed to be able to identify the makam of a taksim, but others believed that this ability might now be a lost art. This paper documents a series of experiments (based on caricaturized or skeletonized taksim-like creations) designed to determine if it is possible to identify the makam from purely acoustical features, and, when possible, to determine the relative importance of the various audible features that may be used to establish the makam. Two basic classes of features are investigated: perde (the set of pitches used in the performance) and seyir (which relates to temporal motion within the piece, for instance, repetitive or common motives or melodic contour). The experiments provide evidence that both kinds of features contribute to the ability to recognize makams. Experiments that randomize the order of events show that pitch cues (perde) are often adequate to allow accurate identification of the makam. In experiments where both pitch and temporal cues are present but conflict (for example, a piece in which the perde is chosen from one makam and the seyir from another), experts often favor the temporal information
Linking scores and audio recordings in makam music of Turkey
The most relevant representations of music are notations and audio recordings, each of which emphasizes a particular perspective and promotes different approximations in the analysis and understanding of music. Linking these two representations and analysing them jointly should help to better study many musical facets by being able to combine complementary analysis methodologies. In order to develop accurate linking methods, we have to take into account the specificities of a given type of music. In this paper, we present a method for linking musically relevant sections in a score of a piece from makam music of Turkey (MMT) to the corresponding time intervals of an audio recording of the same piece. The method starts by extracting relevant features from the score and from the audio recording. The features of a given score section are compared with the features of the audio recording to find the candidate links in the audio for that score section. Next, using the sequential section information stored in the score, it selects the most likely links. The method is tested on a dataset consisting of instrumental and vocal compositions of MMT, achieving 92.1% and 96.9% -scores on the instrumental and vocal pieces, respectively. Our results show the importance of culture-specific and knowledge-based approaches in music information processing.This work is partly supported by the European Research Council under the European Union’s Seventh Framework Program, as part of the CompMusic project (ERC grant agreement 267583)