title: Automated detection of broadband clicks of freshwater fish using spectro-temporal features.
abstract: Large scale networks of embedded wireless sensor nodes can passively capture sound for species detection. However, the acoustic recordings result in large amounts of data requiring in-network classification for such systems to be feasible. The current state of the art in the area of in-network bioacoustics classification targets narrowband or long-duration signals, which render it unsuitable for detecting species that emit impulsive broadband signals. In this study, impulsive broadband signals were classified using a small set of spectral and temporal features to aid in their automatic detection and classification. A prototype system is presented along with an experimental evaluation of automated classification methods. The sound used was recorded from a freshwater invasive fish in Australia, the spotted tilapia (Tilapia mariae). Results show a high degree of accuracy after evaluating the proposed detection and classification method for T. mariae sounds and comparing its performance against the state of the art. Moreover, performance slightly improves when the original signal was down-sampled from 44.1 to 16 kHz. This indicates that the proposed method is well-suited for detection and classification on embedded devices, which can be deployed to implement a large scale wireless sensor network for automated species detection.
authors.affiliation: Commonwealth Scientific and Industrial Research Organization, P.O. Box 883, Kenmore, Queensland 4069, Australia.
authors.forename: Navinda
authors.initials: N
authors.lastname: Kottege
authors.affiliation: Commonwealth Scientific and Industrial Research Organization, P.O. Box 883, Kenmore, Queensland 4069, Australia.
authors.forename: Raja
authors.initials: R
authors.lastname: Jurdak
authors.affiliation: CSIRO, P.O. Box 780, Atherton, Queensland 4883, Australia.
authors.forename: Frederieke
authors.initials: F
authors.lastname: Kroon
authors.affiliation: CSIRO, P.O. Box 780, Atherton, Queensland 4883, Australia.
authors.forename: Dean
authors.initials: D
authors.lastname: Jones
mesh_terms: D000162:Acoustics / Q000295:instrumentation; D000818:Animals; D016002:Discriminant Analysis; D004784:Environmental Monitoring / Q000295:instrumentation / Q000379:methods*; D005618:Fresh Water; D016015:Logistic Models; D009038:Motion; D010363:Pattern Recognition, Automated; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D013016:Sound; D013018:Sound Spectrography; D013045:Species Specificity; D017210:Tilapia / Q000145:classification* / Q000502:physiology*; D013997:Time Factors; D014828:Vocalization, Animal / Q000145:classification*