We present an algorithm for the estimation of fundamental frequencies in voiced audio signals. The method is based on an autocorrelation of a signal with a segment of the same signal. During operation, frequency estimates are calculated and the segment is updated whenever a period of the signal is detected. The fast estimation of fundamental frequencies with low error rate and simple implementation is interesting for real-time speech signal processing.
CITATION STYLE
Staudacher, M., Steixner, V., Griessner, A., & Zierhofer, C. (2016). Fast fundamental frequency determination via adaptive autocorrelation. Eurasip Journal on Audio, Speech, and Music Processing, 2016(1). https://doi.org/10.1186/s13636-016-0095-8
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