Complex-Domain Pitch Estimation Algorithm for Narrowband Speech Signals

New Time-frequency Domain Pitch Estimation Methods for Speech Signals under Low Levels of Snr

New Time-Frequency Domain Pitch Estimation Methods for Speech Signals under Low Levels of SNR Celia Shahnaz, Ph.D. Concordia University, 2009 Pitch estimation of speech signals is the key to understanding most acoustical phenomena as well as accurately designing many practical systems in speech communication. It is to determine the fundamental frequency or period of a vocal cord vibration causi...

Evaluation of a pitch estimation algorithm for speech emotion recognition

Pitch estimation of noisy speech signals using empirical mode decomposition

This paper presents a pitch estimation method of noisy speech signal using empirical mode decomposition (EMD). The normalized autocorrelation function (NACF) of the noisy speech signal is decomposed into a finite set of band-limited signals termed as intrinsic mode functions (IMFs) using EMD. The periodicity of one IMF is supposed to be equal to the accurate pitch period. A conventional autocor...

Simplified pitch detection algorithm of mixed speech signals

In the speech processing system, detection of a single speech from composite signals is required. To obtain the single speech, we propose an algorithm which can detect multi-pitch in the frame processing. The algorithm does not require the condition that the overlapped peaks should be analyzed into each speaker’s peaks. The proposed algorithm produces pitch candidates for each speech such that ...

Multi-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...