Patents by Inventor Timo Pascal Mertens

Timo Pascal Mertens 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).

  • Subword-based multi-level pronunciation adaptation for recognizing accented speech
    Patent number: 8825481
    Abstract: Techniques are described for training a speech recognition model for accented speech. A subword parse table is employed that models mispronunciations at multiple subword levels, such as the syllable, position-specific cluster, and/or phone levels. Mispronunciation probability data is then generated at each level based on inputted training data, such as phone-level annotated transcripts of accented speech. Data from different levels of the subword parse table may then be combined to determine the accented speech model. Mispronunciation probability data at each subword level is based at least in part on context at that level. In some embodiments, phone-level annotated transcripts are generated using a semi-supervised method.
    Type: Grant
    Filed: January 20, 2012
    Date of Patent: September 2, 2014
    Assignee: Microsoft Corporation
    Inventors: Albert Joseph Kishan Thambiratnam, Timo Pascal Mertens, Frank Torsten Bernd Seide
  • Subword-Based Multi-Level Pronunciation Adaptation for Recognizing Accented Speech
    Publication number: 20130191126
    Abstract: Techniques are described for training a speech recognition model for accented speech. A subword parse table is employed that models mispronunciations at multiple subword levels, such as the syllable, position-specific cluster, and/or phone levels. Mispronunciation probability data is then generated at each level based on inputted training data, such as phone-level annotated transcripts of accented speech. Data from different levels of the subword parse table may then be combined to determine the accented speech model. Mispronunciation probability data at each subword level is based at least in part on context at that level. In some embodiments, phone-level annotated transcripts are generated using a semi-supervised method.
    Type: Application
    Filed: January 20, 2012
    Publication date: July 25, 2013
    Applicant: Microsoft Corporation
    Inventors: Albert Joseph Kishan Thambiratnam, Timo Pascal Mertens, Frank Torsten Bernd Seide