Time delay estimation and adaptive frame length iterations for noise robust pitch extraction
نویسندگان
چکیده
We describe a pitch tracking method based on a time delay estimation technique. Given two frames of voiced speech and it’s time delay, we will run a linear regression on the unwrapped phase of the quotient of the spectrum of both frames. A weighted linear regression will allow us to avoid the effect of phases corrupted by spectral leakage and noise. Iterations adapting the frame length will allow us to have a better time resolution, avoiding inaccuracies that could come from pitch doubling and jitter. Key-Words: Pitch detection, noise robustness, time delay estimation.
منابع مشابه
A Robust Distributed Estimation Algorithm under Alpha-Stable Noise Condition
Robust adaptive estimation of unknown parameter has been an important issue in recent years for reliable operation in the distributed networks. The conventional adaptive estimation algorithms that rely on mean square error (MSE) criterion exhibit good performance in the presence of Gaussian noise, but their performance drastically decreases under impulsive noise. In this paper, we propose a rob...
متن کاملPitch Estimation Based on Long Frame Harmonic Model and Short Frame Average Correlation Coefficient
We propose a pitch estimation method based on long frame harmonic model (LFHM) and short frame average correlation coefficient (SFACC). The long frame used here is three times as long as the short frame. Our approach consists of two main steps: pitch candidates extraction based on LFHM, and final pitch selection based on the SFACC. The long frame analysis for speech signal is able to achieve a ...
متن کاملMelody Extraction from Polyphonic Audio Signal Mirex2010
This paper considers the proposed algorithm submitted to the Music Information Retrieval Evaluation eXchange (MIREX) 2010 “Audio Melody Extraction” task. The proposed melody extraction algorithm can be divided into three steps: (1) a spectral analysis using a variable length window, (2) a pitch candidate estimation, and (3) a pitch sequence identification. In the first step, the short-time Four...
متن کاملMelody Extraction from Polyphonic Audio Signal Mirex2011
This paper considers the proposed algorithm submitted to theMusic Information Retrieval Evaluation eXchange(MIREX) 2011 “AudioMelody Extraction” task. The proposed melody pitch extraction algorithm can be divided into three steps: (1) a spectral analysis using variable length window, (2) a pitch candidate estimation, and (3) a pitch sequence identification. In the first step, the short-time Fou...
متن کاملRobust Identification of Smart Foam Using Set Mem-bership Estimation in A Model Error Modeling Frame-work
The aim of this paper is robust identification of smart foam, as an electroacoustic transducer, considering unmodeled dynamics due to nonlinearities in behaviour at low frequencies and measurement noise at high frequencies as existent uncertainties. Set membership estimation combined with model error modelling technique is used where the approach is based on worst case scenario with unknown but...
متن کامل