Real-time Pitched/Unpitched Separation of Monophonic Timbre Components
نویسنده
چکیده
Described here is a new technique for the real-time separation of a monophonic sound source timbre into its pitched and unpitched components (e.g. violin string vibration vs. bow noise.) This technique differs from preexisting noise extraction and reduction techniques in that it does not rely on a priori knowledge of the signal and does not consider the duration or stability of a component in determining whether that component is pitched, but rather analyzes sinusoidal components based on their harmonic relationship to an estimated fundamental frequency. This has several benefits including independence of time in the determination of un-pitched components and the ability to discern pitched components from unpitched components in situations where the unpitched components may be steady in the time-evolving frequency sense.
منابع مشابه
Classification of Musical Timbre Using Bayesian Networks
In this article, we explore the use of Bayesian networks for identifying the timbre of musical instruments. Peak spectral amplitude in ten frequency windows is extracted for each of 20 time windows to be used as features. Over a large data set of 24,000 audio examples covering the full musical range of 24 different common orchestral instruments, four different Bayesian network structures, inclu...
متن کاملDetection of Pitched/Unpitched Sound using Pitch Strength Clustering
A method for detecting pitched/unpitched sound is presented. The method tracks the pitch strength trace of the signal, determining clusters of pitch and unpitched sound. The criterion used to determine the clusters is the local maximization of the distance between the centroids. The method makes no assumption about the data except that the pitched and unpitched clusters have different centroids...
متن کاملWhat/when causal expectation modelling in monophonic pitched and percussive audio
A causal system for representing a musical stream and generating further expected events is presented. Starting from an auditory front-end which extracts low-level (e.g. spectral shape, MFCC, pitch) and mid-level features such as onsets and beats, an unsupervised clustering process builds and maintains a set of symbols aimed at representing musical stream events using both timbre and time descr...
متن کاملPerceptual Synthesis Engine: An Audio-Driven Timbre Generator
A real-time synthesis engine which models and predicts the timbre of acoustic instruments based on perceptual features extracted from an audio stream is presented. The thesis describes the modeling sequence including the analysis of natural sounds, the inference step that finds the mapping between control and output parameters, the timbre prediction step, and the sound synthesis. The system ena...
متن کاملFundamental Frequency Estimation in the SMS Analysis
This paper deals with the fundamental frequency estimation for monophonic sounds in the SMS analysis environment. The importance of the fundamental frequency as well as some uses in SMS is commented. The particular method of F0 estimation based on a two-way mismatched measure is described as well as some modifications. Finally we explain how pitch-unpitched decision is performed.
متن کامل