@techreport{TD:100695,
	att_abstract={{In this demonstration, we will present Spectra, a speech-to-speech (S2S) translation system in the cloud. Spectra comprises of an HMM-based large vocabulary continuous speech recognition (AT&T Watson Speech Recognizer), a phrase-based translation
system, and, a unit selection text-to-speech synthesis system (AT&T Natural Voices TTS). Spectra currently runs on any iOS device and can be downloaded as an application from the Apple application store (http://itunes.apple.com/us/app/spectra/id432494549?mt=8). Spectra is endowed with automatic language identification capabilities and can currently translate from/to English and six other languages (Chinese, French, German, Italian, Japanese and Spanish).}},
	att_authors={vk947h, sb7658, aj755m, lg057v, pk902s},
	att_categories={C_IIS.11},
	att_copyright={{IEEE}},
	att_copyright_notice={{This version of the work is reprinted here with permission of IEEE for your personal use. Not for redistribution. The definitive version was published in IEEE International Conference on Emerging Signal Processing Applications. {{, 2012-01-12}}
}},
	att_donotupload={},
	att_private={false},
	att_projects={Speech_Translation},
	att_tags={},
	att_techdoc={true},
	att_techdoc_key={TD:100695},
	att_url={http://web1.research.att.com:81/techdocs_downloads/TD:100695_DS1_2011-10-07T15:04:25.714Z.pdf},
	author={Vivek kumar Rangarajan sridhar and Srinivas Bangalore and Aura Jimenez and Laden Golipour and Prakash Kolan},
	institution={{IEEE International Conference on Emerging Signal Processing Applications}},
	month={January},
	title={{SPECTRA: A SPEECH-TO-SPEECH TRANSLATION SYSTEM IN THE CLOUD}},
	year=2012,
}