Sentence examples for fundamental frequency detection from inspiring English sources

Column D: after having detected a maximum in ( {z}_k ), the content of the segment is replaced with a slice of the signal ( {x}_m ) starting right after the detected peak, and fundamental frequency detection restarts.

Fundamental frequency detection in real applications is complicated by noise.

Vertical gray lines indicate a completed fundamental frequency detection.

The overall procedure is illustrated in Figure 2. The input speech signal is processed in parallel to obtain an automatic estimation of both syllable nuclei and fundamental frequency (F0 detection).

Some approaches make use of f 0 (fundamental frequency) sequences extracted with pitch detection algorithms as front-ends.

Here, the GLOAT toolkit is used for GCI detection [63], fundamental frequency estimation [64], and glottal inverse filtering [40].

We use artificially generated signals with a controlled fundamental frequency progression and define the detection lag to be the time between the occurrence of a fundamental frequency in the signal and its detection by any of the algorithms.

The model is successfully tested for several psychophysical phenomena like pitch detection with missing fundamental frequency [30, 31].

As can be seen qualitatively in the top plot of Fig. 5a, the AAC algorithm tracks the fundamental frequency of the signal with less detection lag and is able to follow frequency variations faster than the reference algorithms.

During pitch extraction, an analysis frame of 46 ms was used in conjunction with a hop size of 5.8 ms. The pitch detection algorithm returns fundamental frequency sequences f 0(n) of the main melody on a frame-by-frame basis.

In addition to comparing the gross errors of the algorithms in terms of the fundamental frequency, we also want to measure the detection lag, a quantity that is a fidelity indicator for real-time fundamental frequency tracking.