Application of speech recognition to African elephant (Loxodonta africana) vocalizations
نویسندگان
چکیده
This paper presents a novel application of speech processing research, classification of African elephant vocalizations. Speaker identification and call classification experiments are performed on data collected from captive African elephants in a naturalistic environment. The features used for classification are 12 Mel-Frequency Cepstral Coefficients plus log energy computed using a shifted filter bank to emphasize the infrasound range of the frequency spectrum used by African elephants. Initial classification accuracies of 83.8% for call classification and 88.1% for speaker identification were obtained. The long-term goal of this research is to develop a universal analysis framework and robust feature set for animal vocalizations that can be applied to many species.
منابع مشابه
Automatic Classification and Speaker Identification of African Elephant (<em>Loxodonta africana</em>) Vocalizations
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Loxodonta africana – African Elephant
Taxonomic notes: Preliminary genetic evidence suggests that there may be at least two species of African Elephant, namely the Savannah Elephant (Loxodonta africana) and the Forest Elephant (Loxodonta cyclotis) (Roca et al. 2001, 2005). A third species, the West African Elephant, has also been postulated. The IUCN SSC African Elephant Specialist Group currently accepts the single species proposa...
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