1
Edward Komissarchik, Vladimir Arlazarov, Dimitri Bogdanov, Yuri Finkelstein, Andrey Ivanov, Jacob Kaminsky, Julia Komissarchik, Olga Krivnova, Mikhail Kronrod, Mikhail Malkovsky, Maxim Paklin, Alexander Rozanov, Vladimir Segal, Nina Zinovieva: Knowledge-based speech recognition system and methods having frame length computed based upon estimated pitch period of vocalic intervals. Accent Incorporated, Nicola A Pisano, Fish & Neave, August 25, 1998: US05799276 (435 worldwide citation)

Knowledge based speech recognition apparatus and methods are provided for translating an input speech signal to text. The speech recognition apparatus captures an input speech signal, segments it based on the detection of pitch period, and generates a series of hypothesized acoustic feature vectors ...


2
Sang G Oh, Vishu R Viswanathan: System and method for improved speech acquisition for hands-free voice telecommunication in a noisy environment. Texas Instruments Incorporated, W Daniel Swayze, Leo N Heiting, Richard L Donaldson, October 4, 1994: US05353376 (290 worldwide citation)

Systems and methods for improved speech acquisition are disclosed including a plurality of linearly arrayed sensors to detect spoken input and to output signals in response thereto, a beamformer connected to the sensors to cancel a preselected noise portion of the signals to thereby produce a proces ...


3
Richard M Schwartz, Long Nguyen: Single tree method for grammar directed, very large vocabulary speech recognizer. BBN Corporation, Lappin & Kusmer, April 15, 1997: US05621859 (248 worldwide citation)

The invention provides a method of large vocabulary speech recognition that employs a single tree-structured phonetic hidden Markov model (HMM) at each frame of a time-synchronous process. A grammar probability is utilized upon recognition of each phoneme of a word, before recognition of the entire ...


4
Lynn D Wilcox, Marcia A Bush: Wordspotting for voice editing and indexing. Xerox Corporation, March 30, 1993: US05199077 (235 worldwide citation)

A technique for wordspotting based on hidden Markov models (HMM's). The technique allows a speaker to specify keywords dynamically and to train the associated HMM's via a single repetition of a keyword. Non-keyword speech is modeled using an HMM trained from a prerecorded sample of continuous speech ...


5
George M White: Method and apparatus for controlling a speech recognition function using a cursor control device. Apple Computer, Blakely Sokoloff Taylor & Zafman, January 31, 1995: US05386494 (228 worldwide citation)

A computer system having speech recognition functionality, a display screen, a microphone, and a mouse having pointer and voice buttons. The voice button located on the mouse is used to turn the microphone "on" and "off". The voice button in conjunction with the mouse are used to signal the computer ...


6
Allen Louis Gorin, Jeremy Huntley Wright: Automated meaningful phrase clustering. AT&T, January 12, 1999: US05860063 (227 worldwide citation)

A system and method for automated task selection is provided where a selected task is identified from the natural speech of the user making the selection. The system and method incorporate the selection of meaningful phrases through the use of a test for significance. The selected meaningful phrases ...


7
Alex H Waibel, Arthur E McNair: Locating and correcting erroneously recognized portions of utterances by rescoring based on two n-best lists. Carnegie Mellon University, Kirkpatrick & Lockhart, January 27, 1998: US05712957 (217 worldwide citation)

A method of repairing machine-recognized speech is comprised of the steps of receiving from a recognition engine a first n-best list of hypotheses and scores for each hypothesis generated in response to a primary utterance to be recognized. An error within the hypothesis having the highest score is ...


8
Wu Chou, Biing Hwang Juang: Recognition unit model training based on competing word and word string models. Lucent Technologies, Thomas A Restaino, Kenneth M Brown, November 26, 1996: US05579436 (194 worldwide citation)

A system pattern-based speech recognition, e.g., a hidden Markov model (HMM) based speech recognizer using Viterbi scoring. The principle of minimum recognition error rate is applied by the present invention using discriminative training. Various issues related to the special structure of HMMs are p ...


9
Eric M Hoffert, Karl Cremin, Leo Degen: Evaluation of media content in media files. Magnifi, Blakely Sokoloff Taylor & Zafman, November 9, 1999: US05983176 (193 worldwide citation)

A method and apparatus for searching for multimedia files in a distributed database and for displaying results of the search based on the context and content of the multimedia files.


10
Jerome R Bellegarda, Yen Lu Chow: Method and system for deriving a large-span semantic language model for large-vocabulary recognition systems. Apple Computer, Sawyer & Associates, October 27, 1998: US05828999 (193 worldwide citation)

A system and method for deriving a large-span semantic language model for a large vocabulary recognition system is disclosed. The method and system maps words from a vocabulary into a vector space, where each word is represented by a vector. After the vectors are mapped to the space, the vectors are ...