Multi-pitch estimation
نویسندگان
چکیده
منابع مشابه
RNN-BLSTM Based Multi-Pitch Estimation
Multi-pitch estimation is critical in many applications, including computational auditory scene analysis (CASA), speech enhancement/separation and mixed speech analysis; however, despite much effort, it remains a challenging problem. This paper uses the PEFAC algorithm to extract features and proposes the use of recurrent neural networks with bidirectional Long ShortTerm Memory (RNN-BLSTM) to m...
متن کاملMulti-pitch estimation for polyphonic musical signals
Automatic Score Transcription goal is to achieve an score-like (notes pitches through time) representation from musical signals. Reliable pitch extraction methods for monophonic signals exist, but polyphonic signals are much more difficult, often ambiguous, to analyze. We propose a computationally efficient technique for automatic recognition of notes from a polyphonic signal. It looks for corr...
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We study the problem of estimating the fundamental frequencies of a signal containing multiple harmonically related sinusoidal components using a novel block sparse signal representation. An efficient algorithm for solving the resulting optimization problem is devised exploiting a novel variable step-size alternating direction method of multipliers (ADMM). The resulting algorithm has guaranteed...
متن کاملMulti-pitch estimation by a joint 2-d representation of pitch and pitch dynamics
Multi-pitch estimation of co-channel speech is especially challenging when the underlying pitch tracks are close in pitch value (e.g., when pitch tracks cross). Building on our previous work in [1], we demonstrate the utility of a two-dimensional (2-D) analysis method of speech for this problem by exploiting its joint representation of pitch and pitch-derivative information from distinct speake...
متن کاملAn iterative subspace-based multi-pitch estimation algorithm
In this paper, we present an iterative method for estimation of pitches from signals containing multiple sources using subspace techniques. The resulting estimator is termed Iterative Harmonic MUltiple SIgnal Classification (I-HMUSIC). Different modifications of I-HMUSIC are proposed that improve upon the classical MUSIC algorithm, including a computationally efficient method for noise subspace...
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ژورنال
عنوان ژورنال: Signal Processing
سال: 2008
ISSN: 0165-1684
DOI: 10.1016/j.sigpro.2007.10.014