Drum Transcription in Polyphonic Music Using Non-Negative Matrix Factorisation
نویسندگان
چکیده
We present a system that is based on the non-negative matrix factorisation (NMF) algorithm and is able to transcribe drum onset events in polyphonic music. The magnitude spectrogram representation of the input music is divided by the NMF algorithm into source spectra and corresponding time-varying gains. Each of these source components is classified as a drum instrument or non-drum sound and a peak-picking algorithm determines the onset times.
منابع مشابه
Real-Time Transcription and Separation of Drum Recordings Based on NMF Decomposition
This paper proposes a real-time capable method for transcribing and separating occurrences of single drum instruments in polyphonic drum recordings. Both the detection and the decomposition are based on Non-Negative Matrix Factorization and can be implemented with very small systemic delay. We propose a simple modification to the update rules that allows to capture timedynamic spectral characte...
متن کاملTranscribing Bach Chorales Limitations and Potentials of Non-Negative Matrix Factorisation
This article discusses our research on polyphonic music transcription using non-negative matrix factorisation (NMF). The application of NMF in polyphonic transcription offers an alternative approach in which observed frequency spectra from polyphonic audio could be seen as an aggregation of spectra from monophonic components. However, it is not easy to find accurate aggregations using a standar...
متن کاملSound Source Separation Using Sparse Coding with Temporal Continuity Objective
A data-adaptive sound source separation system is presented, which is able to extract meaningful sources from polyphonic real-world music signals. The system is based on the assumption of non-negative sparse sources which have constant spectra with time-varying gain. Temporal continuity objective is proposed as an improvement to the existing techniques. The objective increases the robustness of...
متن کاملSignal Processing Methods for Drum Transcription and Music Structure Analysis Pre-examiner and Opponent
THIS thesis proposes signal processing methods for the analysis of musical audio on two time scales: drum transcription on a finer time scale and music structure analysis on the time scale of entire pieces. The former refers to the process of locating drum sounds in the input and recognising the instruments that were used to produce the sounds. The latter refers to the temporal segmentation of ...
متن کاملExtraction of Drum Tracks from Polyphonic Music Using Independent Subspace Analysis
The analysis and separation of audio signals into their original components is an important prerequisite to automatic transcription of music, extraction of metadata from audio data, and speaker separation in video conferencing. In this paper, a method for the separation of drum tracks from polyphonic music is proposed. It consists of an Independent Component Analysis and a subsequent partitioni...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2007