| Publication Type: | Journal Article |
| Year of Publication: | 2003 |
| Authors: | M. Cowling |
| Journal: | Pattern Recognition Letters |
| Volume: | 24 |
| Pagination: | 2895–2907 |
| Date Published: | November |
| ISSN: | 01678655 |
| Keywords: | asr, environment, it, recognition, soundscapes |
| Abstract: | This paper presents a comprehensive comparative study of artificial neural networks, learning vector quantization and dynamic time warping classification techniques combined with stationary/non-stationary feature extraction for environmental sound recognition. Results show 70% recognition using mel frequency cepstral coefficients or continuous wavelet transform with dynamic time warping. |
| URL: | http://dx.doi.org/10.1016/S0167-8655(03)00147-8 |
| DOI: | 10.1016/S0167-8655(03)00147-8 |