Patents by Inventor Alex Waibel

Alex Waibel has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 8898052
    Abstract: An iterative language translation system. The system includes a first automatic speech recognition component adapted to recognize spoken language in a source language and to create a source language hypothesis and a first machine translation component adapted to translate the source language hypothesis into a target language. The system also includes a second universal automatic speech recognition component adapted to recognize spoken languages in plurality of target languages spoken by a translator, and wherein the second automatic speech recognition component is further adapted to create a target language hypothesis.
    Type: Grant
    Filed: May 22, 2007
    Date of Patent: November 25, 2014
    Assignee: Facebook, Inc.
    Inventors: Alex Waibel, Matthias Paulik
  • Publication number: 20070271088
    Abstract: An iterative language translation system. The system includes a first automatic speech recognition component adapted to recognize spoken language in a source language and to create a source language hypothesis and a first machine translation component adapted to translate the source language hypothesis into a target language. The system also includes a second automatic speech recognition component adapted to recognize spoken language in the target language that is spoken by a translator, and wherein the second automatic speech recognition component is further adapted to create a target language hypothesis.
    Type: Application
    Filed: May 22, 2007
    Publication date: November 22, 2007
    Applicant: Mobile Technologies, LLC
    Inventors: Alex Waibel, Matthias Paulik
  • Patent number: 6963837
    Abstract: An attribute-based speech recognition system is described. A speech pre-processor receives input speech and produces a sequence of acoustic observations representative of the input speech. A database of context-dependent acoustic models characterize a probability of a given sequence of sounds producing the sequence of acoustic observations. Each acoustic model includes phonetic attributes and suprasegmental non-phonetic attributes. A finite state language model characterizes a probability of a given sequence of words being spoken. A one-pass decoder compares the sequence of acoustic observations to the acoustic models and the language model, and outputs at least one word sequence representative of the input speech.
    Type: Grant
    Filed: October 6, 2000
    Date of Patent: November 8, 2005
    Assignee: Multimodal Technologies, Inc.
    Inventors: Michael Finke, Jurgen Fritsch, Detleff Koll, Alex Waibel
  • Publication number: 20030164819
    Abstract: A portable information system is comprised of an input device for capturing an image having a user-selected object or text, and a background. A hand-held computer is responsive to the input device and is programmed to: distinguish the user-selected object/text from the background; compare the user-selected object to a database of objects/characters; and output a translation of, information about, or interpretation of, the user-selected object or text in response to the step of comparing. The invention is particularly useful as a portable aid for translating or remembering text messages foreign to the user that are found in visual scenes. A second important use is to provide mobile information and guidance to the mobile user in connection with surrounding objects (such as, identifying landmarks, people, and/or acting as a navigational aid). Methods of operating the present invention are also disclosed.
    Type: Application
    Filed: March 4, 2002
    Publication date: September 4, 2003
    Inventor: Alex Waibel
  • Patent number: 6324510
    Abstract: A method of organizing an acoustic model for speech recognition is comprised of the steps of calculating a measure of acoustic dissimilarity of subphonetic units. A clustering technique is recursively applied to the subphonetic units based on the calculated measure of acoustic dissimilarity to automatically generate a hierarchically arranged model. Each application of the clustering technique produces another level of the hierarchy with the levels progressing from the least specific to the most specific. A technique for adapting the structure and size of a trained acoustic model to an unseen domain using only a small amount of adaptation data is also disclosed.
    Type: Grant
    Filed: November 6, 1998
    Date of Patent: November 27, 2001
    Assignee: Lernout & Hauspie Speech Products N.V.
    Inventors: Alex Waibel, Juergen Fritsch