Musical instrument estimation for polyphony using autocorrelation functions
نویسندگان
چکیده
This paper proposes a new musical instrument estimation of polyphony using autocorrelation functions. We notice that each musical instrument has each autocorrelation function. Polyphony can be separated into each monophony using comb filters ( ). We can obtain the autocorrelation functions for the outputs of comb filters from the autocorrelation functions of the monophony. By the pattern patching between the autocorrelation functions for the output signals of the comb filters and ones calculated from monophony of each instrument, we can estimate the musical instruments for polyphony. N z z H − − = 1 ) (
منابع مشابه
Musical Pitch and Instrument Estimation of Polyphony using Comb Filters for Transcription
We propose a new method for the musical pitch and instrument estimation of polyphony for transcription. Most of previous methods are based on the extraction of the pitch frequencies. But the extraction of the pitches is di cult since the musical sound has many harmonic components and these components are changed complicatedly depending on the tones and musical instruments. The principle of our ...
متن کاملMusical Instrument Recognition in Polyphonic Audio Using Source-Filter Model for Sound Separation
This paper proposes a novel approach to musical instrument recognition in polyphonic audio signals by using a source-filter model and an augmented non-negative matrix factorization algorithm for sound separation. The mixture signal is decomposed into a sum of spectral bases modeled as a product of excitations and filters. The excitations are restricted to harmonic spectra and their fundamental ...
متن کاملFeature for Musical Pitch Estimation from Simplified Auditory Model
A simplified auditory model has been used for calculating an enhanced summary auto-correlation or ESACF, which can be used as a tool for musical pitch estimation from audio signal. The model itself is not only computationally efficient but its ESACF also shows a good result for single pitch estimation. However, using this ESACF for multiple pitch estimation seems to be very difficult to analyse...
متن کاملEvaluation of SARIMA time series models in monthly streamflow estimation in Idanak hydrometry station
prediction of hydrological variables is a highly effective tool in water resource management. One of the important tools for modeling hydrological processes is the use of time series modeling and analysis. River series production series can be used by time series models in various studies such as drought, flood, reservoir systems design and many other purposes For this purpose, monthly flow dat...
متن کاملPitch Detection Enhancement Using Music Prediction
In this paper a new method for pitch estimation enhancement was presented. Pitch estimation methods are widely used for extracting musical data from digital signal. A brief review of these methods is included in the paper. However, since processed signal may contain noise and distortions, the estimation results can be erroneous. The proposed method was developed in order to override disadvantag...
متن کامل