Application of Speech Recognition to African Elephant (Loxodonta Africana) Vocalizations
Dr. Dolittle Project: A Framework for Classification and Understanding of Animal Vocalizations
IEEE International Conference on Acoustics, Speech and Signal Processing, 2003: ICASSP; Hong Kong, China, April 6-10, 2003
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.
Clemins, Patrick J. and Johnson, Michael T., "Application of Speech Recognition to African Elephant (Loxodonta Africana) Vocalizations" (2003). Dr. Dolittle Project: A Framework for Classification and Understanding of Animal Vocalizations. 10.