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Dive into the research topics where Eric Janke is active.

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Featured researches published by Eric Janke.


human factors in computing systems | 1994

Storywriter: a speech oriented editor

Catalina Danis; Liam David Comerford; Eric Janke; Ken E. Davies; Jackie De Vries; Alex Bertrand

Yorktown Heights, NY 10598 [email protected]. com Repetitive Stress Injury (RSI), a disorder that curtails repetitive movements such as typing and poses a potentially career-ending problem for people who write for a living, motivated our development of the StoryWriter editor. This editor accepts speech and keyboard input for text creation and six types of input for application control functions (speech, keyboard, mouse, foot pedal and two novel techniques, pointer touch and point and speak). The variability of RSI symptomatology dictated that several input methods be integrated seamlessly, The system can also be used efficiently by unimpaired individuals.


international conference on acoustics, speech, and signal processing | 2004

Multilingual acoustic models for speech recognition and synthesis

Siegfried Kunzmann; Volker Fischer; Jorge Gonzalez; Ossama Emam; Carsten Günther; Eric Janke

In this paper, we review the design of a common phone alphabet for up to fifteen languages and describe its application in two important components of a seamless multilingual conversational system, namely speech recognition and synthesis. We report on experiments that demonstrate the advantages of multilingual acoustic models both for the recognition of foreign names and non-native speech, and describe the usefulness of a common phone alphabet for the construction of unit selection based mono- and bilingual speech synthesis systems.


international conference on acoustics, speech, and signal processing | 2007

Multilingual Acoustic Models for Speech Recognition in Low-Resource Devices

Enrique Garcia; Erhan Mengusoglu; Eric Janke

Multilingual access to information and services is a key requirement in any pervasive or ubiquitous computing environment. In this paper we review the design of a common alphabet for up to fifteen languages and describe its application to multilingual speech recognition in low-resource devices in real-time. We give an overview of the special requirements for acoustic modeling in such environments and present initial results of a technique that aims on a more efficient discrimination between languages in training while keeping low memory footprint. We also report the usefulness of a multilingual recognizer as a language-independent system to bootstrap a new language.


Archive | 2008

Systems and methods for building a native language phoneme lexicon having native pronunciations of non-native words derived from non-native pronunciations

Neal J. Alewine; Eric Janke; Paul Sharp; Roberto Sicconi


conference of the international speech communication association | 1998

Speaker-independent upfront dialect adaptation in a large vocabulary continuous speech recognizer.

Volker Fischer; Yuqing Gao; Eric Janke


conference of the international speech communication association | 2002

Likelihood combination and recognition output voting for the decoding of non-native speech with multilingual HMMs.

Volker Fischer; Eric Janke; Siegfried Kunzmann


Archive | 2008

Directory dialer name recognition

Eric Janke; Keith Sloan


conference of the international speech communication association | 2003

Recent progress in the decoding of non-native speech with multilingual acoustic models.

Volker Fischer; Eric Janke; Siegfried Kunzmann


conference of the international speech communication association | 2000

Towards a common phone alphabet for multilingual speech recognition.

Francisco Palou; P. Bravetti; Ossama Emam; Volker Fischer; Eric Janke


Archive | 2007

Data modeling of class independent recognition models

Eric Janke; Bin Jia

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