An improvement of an existing pitch detection algorithm is presented. The solution reduces the computational load of its precedent algorithm and introduces a voiced/unvoiced decision step to reduce the number of errors. The efficiency of this improved system is tested with a semi-automatically segmented speech database according to the information delivered by an attached laryngograph signal. The results show its periodicity detection.
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