Language-Adaptive Persian Speech Recognition Export

@inproceedings{srinivasamurthy03language, abstract = {Development of robust spoken language technology ideally relies on the availability of large amounts of data preferably in the target domain and language. However, more often than not, speech developers need to cope with very little or no data, typically obtained from a different target domain. This paper focuses on developing techniques towards addressing this challenge. Specifically we consider the case of developing a Persian language speech recognizer with sparse amounts of data. For...}, author = {Srinivasamurthy, Naveen and Narayanan, Shrikanth}, booktitle = {Eurospeech}, citeulike-article-id = {594850}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.12.7791}, keywords = {asr, persian, sail}, posted-at = {2006-04-22 00:13:57}, priority = {0}, title = {Language-Adaptive Persian Speech Recognition}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.12.7791}, year = {2003} }

TY - CONF ID - srinivasamurthy03language L3 - citeulike-article-id:594850 N2 - Development of robust spoken language technology ideally relies on the availability of large amounts of data preferably in the target domain and language. However, more often than not, speech developers need to cope with very little or no data, typically obtained from a different target domain. This paper focuses on developing techniques towards addressing this challenge. Specifically we consider the case of developing a Persian language speech recognizer with sparse amounts of data. For... TI - Language-Adaptive Persian Speech Recognition T2 - Eurospeech KW - asr KW - persian KW - sail AU - Srinivasamurthy, Naveen AU - Narayanan, Shrikanth PY - 2003/// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.12.7791 ER -