System and method for spelling recognition using speech and...

Data processing: speech signal processing – linguistics – language – Speech signal processing – Recognition

Reexamination Certificate

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C704S240000, C704S252000, C704S235000, C704S270000, C379S088010, C379S077000

Reexamination Certificate

active

07574356

ABSTRACT:
A system and method for non-speech input or keypad-aided word and spelling recognition is disclosed. The method comprises performing spelling recognition via automatic speech recognition (ASR) on received speech from a user, the ASR being performed using a statistical letter model trained on domain data and producing a letter lattice RLN. If an ASR confidence is below a predetermined level, then the method comprises receiving non-speech input from the user, generating a keypad constraint grammar K and generating a letter string based on a composition of finite state transducers RLNand K. Other variations of the invention include recognizing input by first receiving non-speech input, dynamically generating an unweighted grammar, generating a weighted grammar using domain data, and then performing speech, and thus spelling, recognition on input speech using the weighted grammar.

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Grace Chung, Stepahnie Seneff. “Integrated Speech with Keypad Input for Automatic Entry of Spelling and Pronunciation of New Words”, 7thInternational Conference on Spoken Language Processing, Sep. 16-20, 2002, Denver Colorado, pp. 2061-2064.
Parthasarathy S.: “Experiments in keypad-aided spelling recognition”, Acoustics, Speech, and Signal Processing, 2004. Proceedings, (ICASSP '04). IEEE International Conference on Montreal, Quebec, Canada May 17-21, 2004, Piscataway, NJ, USA, IEEE, vol. 1, May 17, 2004, pp. 873-876, XP010717768. ISBN:0-7803-8484-9 *paragraph [0002]*.

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