Yeon-jun Kim

Kim, Yeon-jun
1 AT&T Way, RM 4D178K
Bedminster, NJ

AT&T Natural VoicesTM Text-to-Speech, Natural Voices is AT&T's state-of-the-art text-to-speech product, taking text and producing natural-sounding, synthesized speech in a variety of voices and languages.

Speech Mashup, The AT&T speech mashup is a web service that implements speech tasks for web applications, enabling users of smart phones and other devices to use and hear voice communications.

Technical Documents

Automatic learning in content indexing service using phonetic alignment
Yeon Kim, David Gibbon
ISCA Interspeech 2011,  2011.  [BIB]

Automatic Assessment of American English Lexical Stress using Machine Learning Algorithms
Yeon Kim, Mark Beutnagel
SLaTE-2011 workshop (Speech and Language Technology in Education),  2011.  [BIB]

AT&T VoiceBuilder: A Cloud-based Text-to-Speech Voice Builter Tool
Yeon Kim, Thomas Okken, Alistair Conkie, Giuseppe Di
ISCA Interspeech 2011,  2011.  [BIB]

Speech acts and dialog TTS
Ann Syrdal, Alistair Conkie, Yeon Kim, Mark Beutnagel
Seventh ISCA Speech Synthesis Workshop,  2010.  [BIB]


Correlated Call Analysis For Identified Patterns In Call Transcriptions, June 17, 2014
Automatic Disclosure Detection, April 2, 2013
Automatic Segmentation In Speech Synthesis, March 6, 2012
System And Method Of Word Lattice Augmentation Using A Pre/Post Vocalic Consonant Distinction, September 20, 2011
System And Method Of Using Acoustic Models For Automatic Speech Recognition Which Distinguish Pre- And Post-Vocalic Consonants, September 6, 2011
Automatic Segmentation In Speech Synthesis, September 8, 2009
Automatic segmentation in speech synthesis, September 4, 2007