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William F. Ganong
Researcher at Nuance Communications
Publications - 45
Citations - 2039
William F. Ganong is an academic researcher from Nuance Communications. The author has contributed to research in topics: Speech processing & Phrase. The author has an hindex of 21, co-authored 45 publications receiving 2032 citations.
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Patent
Methods and apparatus for detecting a voice command
TL;DR: In this paper, a method of monitoring an acoustic environment of a mobile device, at least one computer readable medium encoded with instructions that, when executed, perform such a method and/or a mobile devices configured to enable it, is provided.
Patent
Mobile dictation correction user interface
TL;DR: In this paper, a method of speech recognition is described for use with mobile devices, where a portion of an initial speech recognition result is presented on the mobile device including a set of general alternate recognition hypotheses associated with the portion of the speech recognition results.
Patent
Speaker verification methods and apparatus
TL;DR: In this paper, the authors determine validity of an identity asserted by a speaker using a voice print associated with a user whose identity the speaker is asserting, the voice print obtained from characteristic features of a first voice signal obtained from the user uttering at least one enrollment utterance including at least 1 enrollment word by obtaining a second voice signal.
Patent
Detecting potential significant errors in speech recognition results
TL;DR: In this paper, the recognition results produced by a speech processing system (which may include two or more recognition results, including a top recognition result and one or more alternative recognition results) based on an analysis of a speech input, are evaluated for indications of potential significant errors.
Patent
Systems and methods for improving the accuracy of a transcription using auxiliary data such as personal data
TL;DR: In this paper, a method for improving the accuracy of a transcription generated by an automatic speech recognition (ASR) engine is described, where a personal vocabulary is maintained that includes replacement words.