@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 = {<p>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 \&nbsp;HMM\&nbsp;models (usually requiring less data in the target domain).</p>},
	issn = {0885-8985},
	doi = {10.1109/MAES.2006.1705165 },
	attachments = {https://geintra-uah.org/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}
}
