1
Milind V Mahajan, Xuedong D Huang: Information retrieval and speech recognition based on language models. Microsoft Corporation, Joseph R Kelly, Westman Champlin & Kelly P A, July 9, 2002: US06418431 (170 worldwide citation)

A language model is used in a speech recognition system which has access to a first, smaller data store and a second, larger data store. The language model is adapted by formulating an information retrieval query based on information contained in the first data store and querying the second data sto ...


2
Xuedong D Huang, Milind V Mahajan, Ye Yi Wang, Xiaolong Mou: Creating a language model for a language processing system. Microsoft Corporation, Todd R Fronek, Westman Champlin & Kelly P A, April 18, 2006: US07031908 (75 worldwide citation)

A method for creating a language model from a task-independent corpus is provided. In one embodiment, a task dependent unified language model is created. The unified language model includes a plurality of context-free grammars having non-terminals and a hybrid N-gram model having at least some of th ...


3
Xuedong D Huang, Milind V Mahajan: Method and system for speech recognition using continuous density hidden Markov models. Microsoft Corporation, Westman Champlin & Kelly P A, August 10, 1999: US05937384 (71 worldwide citation)

A method and system for achieving an improved recognition accuracy in speech recognition systems which utilize continuous density hidden Markov models to represent phonetic units of speech present in spoken speech utterances is provided. An acoustic score which reflects the likelihood that a speech ...


4
Hsiao Wuen Hon, Xuedong D Huang, Mei Yuh Hwang, Li Jiang, Yun Cheng Ju, Milind V Mahajan, Michael J Rozak: Method and system for dynamically adjusted training for speech recognition. Microsoft Corporation, Westman Champlin & Kelly P A, October 5, 1999: US05963903 (46 worldwide citation)

A method and system for dynamically selecting words for training a speech recognition system. The speech recognition system models each phoneme using a hidden Markov model and represents each word as a sequence of phonemes. The training system ranks each phoneme for each frame according to the proba ...


5
Xuedong D Huang, Milind V Mahajan, Ye Yi Wang, Xiaolong Mou: Use of a unified language model. Microsoft Corporation, Westman Champlin & Kelly P A, Todd R Fronek, Steve Koehler, March 8, 2005: US06865528 (43 worldwide citation)

A language processing system includes a unified language model. The unified language model comprises a plurality of context-free grammars having non-terminal tokens representing semantic or syntactic concepts and terminals, and an N-gram language model having non-terminal tokens. A language processi ...


6
Xuedong D Huang, Milind V Mahajan, Ye Yi Wang, Xiaolong Mou: Use of a unified language model. Microsoft Corporation, Steven M Koehler, Westman Champlin & Kelly P A, March 14, 2006: US07013265 (22 worldwide citation)

A language processing system includes a unified language model. The unified language model comprises a plurality of context-free grammars having non-terminal tokens representing semantic or syntactic concepts and terminals, and an N-gram language model having non-terminal tokens. A language processi ...


7
William H Rockenbeck, Milind V Mahajan, Fileno A Alleva: Method and system for frame alignment and unsupervised adaptation of acoustic models. Microsoft Corporation, Theodore M Magee, Westman Champlin & Kelly P A, July 12, 2005: US06917918 (16 worldwide citation)

An unsupervised adaptation method and apparatus are provided that reduce the storage and time requirements associated with adaptation. Under the invention, utterances are converted into feature vectors, which are decoded to produce a transcript and alignment unit boundaries for the utterance. Indivi ...


8
Xuedong D Huang, Milind V Mahajan, Ye Yi Wang, Xiaolong Mou: Creating a language model for a language processing system. Microsoft Corporation, Todd R Fronek, Westman Champlin & Kelly P A, October 23, 2007: US07286978 (14 worldwide citation)

A method for creating a language model from a task-independent corpus is provided. In one embodiment, a task dependent unified language model is created. The unified language model includes a plurality of context-free grammars having non-terminals and a hybrid N-gram model having at least some of th ...


9
Milind V Mahajan, Alejandro Acero, Bo June Hsu: Combined speech and alternate input modality to a mobile device. Microsoft Corporation, Christopher J Volkmann, Westman Champlin & Kelly P A, May 10, 2011: US07941316 (14 worldwide citation)

A method of entering information into a mobile device includes receiving a multi-word speech input from a user, performing speech recognition on the speech input to obtain a multi-word speech recognition result, and sequentially displaying, in a display, words in the speech recognition result for us ...


10
Xuedong D Huang, Milind V Mahajan, Ye Yi Wang, Xiaolong Mou: Use of a unified language model. Microsoft Corporation, Steven M Koehler, Westman Champlin & Kelly P A, March 21, 2006: US07016830 (12 worldwide citation)

A language processing system includes a unified language model. The unified language model comprises a plurality of context-free grammars having non-terminal tokens representing semantic or syntactic concepts and terminals, and an N-gram language model having non-terminal tokens. A language processi ...