id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_dsbccp6hrncrfph5eqx5uhjmjm	Carlos J. Corrada Bravo	Species-specific audio detection: a comparison of three template-based detection algorithms using random forests	2017	23	.pdf	application/pdf	8499	873	69	computes a similarity vector by comparing a template of a species call with time visualization, Recording annotation, Generic species algorithm, Web-based cloud-hosted system, (2017), Species-specific audio detection: a comparison of three template-based detection algorithms using random forests. (e.g., efficiency and accuracy) of three variants of a template-based detection algorithm and 547 recordings from Peru for comparing the three algorithm variants. Table 1 Species, class, location and count of recordings with validated data. In this article each species Ttemplate was created using five ROIs. In Fig. 5A a training set for the Eleutherodactylus coqui is presented and in Fig. 5B the need a set of validated recordings with the specific species vocalization present in some positives (number of times the algorithm states that the species is present while the expert Standard deviation of the number of times a recording is detected 7.78 the efficiency in terms of time execution of three variants of a template-based detection	./cache/work_dsbccp6hrncrfph5eqx5uhjmjm.pdf	./txt/work_dsbccp6hrncrfph5eqx5uhjmjm.txt