Recognition of Instrument Timbres in Real Polytimbral Audio Recordings
نویسندگان
چکیده
Automatic recognition of multiple musical instruments in polyphonic and polytimbral music is a difficult task, but often attempted to perform by MIR researchers recently. In papers published so far, the proposed systems were validated mainly on audio data obtained through mixing of isolated sounds of musical instruments. This paper tests recognition of instruments in real recordings, using a recognition system which has multilabel and hierarchical structure. Random forest classifiers were applied to build the system. Evaluation of our model was performed on audio recordings of classical music. The obtained results are shown and discussed in the paper.
منابع مشابه
A Comparison of Sound Segregation Techniques for Predominant Instrument Recognition in Musical Audio Signals
The authors address the identification of predominant music instruments in polytimbral audio by previously dividing the original signal into several streams. Several strategies are evaluated, ranging from low to high complexity with respect to the segregation algorithm and models used for classification. The dataset of interest is built from professionally produced recordings, which typically p...
متن کاملPitch-Related Identification of Instruments in Classical Music Recordings
Identification of particular voices in polyphonic and polytimbral music is a task often performed by musicians in their everyday life. However, the automation of this task is very challenging, because of high complexity of audio data. Usually additional information is supplied, and the results are far from satisfactory. In this paper, we focus on classical music recordings, without requiring th...
متن کاملMusic Instrument Estimation in Polyphonic Sound Based on Short-Term Spectrum Match
Recognition and separation of sounds played by various instruments is very useful in labeling audio files with semantic information. This is a non-trivial task requiring sound analysis, but the results can aid automatic indexing and browsing music data when searching for melodies played by user specified instruments. In this paper, we describe all stages of this process, including sound paramet...
متن کاملContent-Based Classification of Musical Instrument Timbres
A set of features extracted from audio sources is investigated for content-based classification of musical instrument timbres. The adopted features describe spectral characteristics of monophonic sounds and rely on the previous segmentation of the signal and the estimation of pitch. The dataset is composed by 1007 tones from 27 musical instruments ranging from orchestral sounds (strings, woodwi...
متن کاملTowards Timbre Recognition of Percussive Sounds
The development of computer algorithms for music instrument identification and parameter extraction in digital audio signals is an active research field. A musician can listen to music and instantly identify different instruments and the timbres produced by various playing techniques. Creating software to allow computers to do the same is much more challenging. This project will use digital sig...
متن کامل