Skefis – a Symbolic (midi) Key Finding System
نویسندگان
چکیده
SKeFiS is a symbolic (Musical Instrument Digital Interface) key finding system that incorporates pitch spelling, key finding, and a cumulative window strategy for determining key. After selection of the window to be considered, key recognition is considered a compound process: one of first determining the spelling of the pitches from numeric pitch information (MIDI), then extracting key from the pitch name information. By combining pitch spelling and key finding, we not only get the pitch class number of the tonic of the key, but also its letter name, and an appropriate key signature for the piece. The window size (length of music) is determined from the test data provided by the contest organizers. Figure 1 depicts the key finding process from MIDI input to key output, including the length parameter selection based on the sample test data provided. The compound process of pitch spelling and key finding is embedded in the system and outlined by dashed boxes.
منابع مشابه
Tree Model of Symbolic Music for Tonality Guessing
Most of the western tonal music is based on the concept of tonality or key. It is often desirable to know the tonality of a song stored in a symbolic format (digital scores), both for content based management and musicological studies to name just two applications. The majority of the freely available symbolic music is coded in MIDI format. But, unfortunately many MIDI sequences do not contain ...
متن کاملFuzzy Analysis in Pitch-Class Determination for Polyphonic Audio Key Finding
This paper presents a fuzzy analysis technique for pitch class determination that improves the accuracy of key finding from audio information. Errors in audio key finding, typically incorrect assignments of closely related keys, commonly result from imprecise pitch class determination and biases introduced by the quality of the sound. Our technique is motivated by hypotheses on the sources of a...
متن کاملMirex 2009 a Multi-feature-set Multi-classifier Ensemble Approach for Audio Music Classification
The approach of combining a multitude of audio features and also symbolic features (through transcription of audio to MIDI) for music classification proved useful, as shown previously. We extended the system submitted to MIREX 2008 by including temporal audio features, adding another audio analysis algorithm based on finding templates on music, enhancing the polyphonic audio to MIDI transcripti...
متن کاملMirex 2008 Audio Music Classification Using a Combination of Spectral, Timbral, Rhythmic, Temporal and Symbolic Features
The novel approach of combining audio and symbolic features for music classification from audio enhanced previous audio-only based results in MIREX 2007. We extended the approach by including temporal audio features, enhancing the polyphonic audio to MIDI transcription system and including an extended set of symbolic features. Recent research in music genre classification hints at a glass ceili...
متن کاملMIR In Matlab: The MIDI Toolbox
150-200 words) The MIDI Toolbox is a compilation of functions for analyzing and visualizing MIDI files in the Matlab computing environment. In this article, the basic issues of the Toolbox are summarized and demonstrated with examples ranging from melodic contour, similarity, keyfinding, meter-finding to segmentation. The Toolbox is based on symbolic musical data but signal processing methods a...
متن کامل