Musical Meter Estimation and Music Transcription
نویسنده
چکیده
This paper concerns the segmentation and automatic transcription of acoustic musical signals. First, a method is proposed for estimating the temporal structure of music, the musical meter. The method consists of an acoustic analysis front-end and of a subsequent probabilistic model which performs joint estimation of the meter at three time scales: beat (tactus), measure, and tatum pulse levels. Secondly, musicological models are described which utilize musical information to improve transcription accuracy.
منابع مشابه
Transcribing Human Piano Performances into Music Notation
Automatic music transcription aims to transcribe musical performances into music notation. However, existing transcription systems that have been described in research papers typically focus on multi-F0 estimation from audio and only output notes in absolute terms, showing frequency and absolute time (a piano-roll representation), but not in musical terms, with spelling distinctions (e.g., A[ v...
متن کاملAutomatic Transcription of Music
A system for the automatic transcription of music is described. Signal processing methods are introduced that solve different facets of the overall problem. Main emphasis is laid on finding the multiple pitches of concurrent musical sounds. Sound onset detection and musical meter estimation are described to some extent. Other topics discussed are noise robustness, estimation of the number of co...
متن کاملMeter Detection from Audio for Indian Music
The meter of a musical excerpt provides high-level rhythmic information and is crucial to many Music Information Retrieval tasks. We investigate the use of a computationally efficient approach to metrical analysis based on psycho-acoustically motivated decomposition of the audio signal. A twostage comb filter-based approach, originally proposed for double/ triple meter estimation, is extended t...
متن کاملSignal Processing Methods for the Automatic Transcription of Music
Signal processing methods for the automatic transcription of music are developed in this thesis. Music transcription is here understood as the process of analyzing a music signal so as to write down the parameters of the sounds that occur in it. The applied notation can be the traditional musical notation or any symbolic representation which gives sufficient information for performing the piece...
متن کاملA Metric for Music Notation Transcription Accuracy
Automatic music transcription aims at transcribing musical performances into music notation. However, most existing transcription systems only focus on parametric transcription, i.e., they output a symbolic representation in absolute terms, showing frequency and absolute time (e.g., a pianoroll representation), but not in musical terms, with spelling distinctions (e.g., A[ versus G]) and quanti...
متن کامل