@article {72, title = {Air traffic control speech recognition system cross-task \& speaker adaptation}, journal = {IEEE Aerospace and Electronic Systems Magazine}, volume = {21}, year = {2006}, month = {09/2006}, pages = {12-17}, publisher = {IEEE}, address = {Estados Unidos}, abstract = {

We present an overview of the most comon techniques used in automatic speech recognition to adapt a general system to a different environment (known as cross-task adaptation) such as in air traffic control systems (ATC). The conditions present in ATC are very specific: very spontaneous, the presence of noise, and high speech speech. So, with a typical speech recognizer, the recognition results are unsatisfactory. We have to decide on the best option for the modeling: to develop acoustic models specific to those conditions from scratch using the data available for the new envirnoment, or to carry out cross-task adaptation starting from reliable \ HMM\ models (usually requiring less data in the target domain).

}, issn = {0885-8985}, doi = {10.1109/MAES.2006.1705165 }, attachments = {https://geintra-uah.org/en/system/files/PublicadoDefinitivo-01705165.pdf}, author = {Ricardo Cordoba and Javier Ferreiros and San Segundo, Ruben and Javier Macias-Guarasa and Juan Manuel Montero and Fernando Fernandez and Luis Fernando D{\textquoteright}Haro and Jose Manuel Pardo} }