Treffer: sertansenturk/tomato: tomato v0.11.0 ; sertansenturk/tomate: Tomato v0.11.0

tomato Turkish-Ottoman Makam (M)usic Analysis TOolbox Introduction tomato is a comprehensive and easy-to-use toolbox in Python for the analysis of audio recordings and music scores of Turkish-Ottoman makam music. The toolbox includes the state of art methodologies applied to this music tradition. The analysis tasks include: Audio Analysis: audio metadata crawling, predominant melody extraction, tonic and transposition identification, makam recognition, histogram analysis, tuning analysis, melodic progression analysis Symbolic Analysis: score metadata extraction, score section extraction, score phrase segmentation, semiotic section, and phrase analysis Joint Analysis: score-informed tonic identification and tempo estimation, section linking, note-level audio-score alignment, predominant melody octave correction, note models, (usul tracking is coming soon) The aim of the toolbox is to facilitate the analysis of large-scale audio recording and music score collections of Turkish-Ottoman makam music, using the state of the art methodologies specifically designed for the culture-specific characteristics of this tradition. The analysis results can then be further used for several tasks such as automatic content description, music discovery/recommendation, and musicological analysis. If you are using tomato in your work, please cite the dissertation: Şentürk, S. (2016). Computational Analysis of Audio Recordings and Music Scores for the Description and Discovery of Ottoman-Turkish Makam Music. Ph.D. thesis, Universitat Pompeu Fabra, Barcelona, Spain. For the methodologies and their implementations in the toolbox, please refer to the References. Changelog Ported all makam analysis libraries into tomato Pull request #77 Tomato in a Nutshell # import . from tomato.joint.completeanalyzer import CompleteAnalyzer from matplotlib import pyplot as plt # score input symbtr_name = 'makam--form--usul--name--composer' txt_score_filename = 'path/to/txt_score' mu2_score_filename = 'path/to/mu2_score' # audio input audio_filename = .