SPEAK AND TOUCH AUTO CORRECTION INTERFACE

• US 20130289993A1
• Filed: 03/15/2013
• Published: 10/31/2013
• Est. Priority Date: 11/30/2006
• Status: Active Grant

• Current Assignee: Ashwin P. Rao
• Original Assignee: Ashwin P. Rao
• Inventors: Rao, Ashwin P.
• Granted Patent: US 9,830,912 B2
• Time in Patent Office: Days
• US Class Current: 704/251
• CPC Class Codes: G06F 3/023 Arrangements for converting discrete items of information into a coded form, e.g. arrangements for interpreting keyboard generated codes as alphanumeric codes, operand codes or instruction codes
• CPC Class Codes: G06F 3/0233 Character input methods
• CPC Class Codes: G06F 3/0235 using chord techniques G06F3/0234 takes precedence
• CPC Class Codes: G06F 3/0237 using prediction or retrieval techniques
• CPC Class Codes: G06F 40/274 Converting codes to words; Guess-ahead of partial word inputs
• CPC Class Codes: G10L 15/1815 Semantic context, e.g. disambiguation of the recognition hypotheses based on word meaning
• CPC Class Codes: G10L 15/22 Procedures used during a speech recognition process, e.g. man-machine dialogue
• CPC Class Codes: G10L 15/24 Speech recognition using non-acoustical features
• CPC Class Codes: G10L 15/32 Multiple recognisers used in sequence or in parallel; Score combination systems therefor, e.g. voting systems

Abstract

The disclosure describes an overall system/method for developing a “speak and touch auto correction interface” referred to as STACI which is far more superior to existing user interfaces including the widely adopted qwerty. Using STACI a user speaks and types a word at the same time. The redundant information from the two modes, namely speech and the letters typed, enables the user to sloppily and partially type the words. The result is a very fast and accurate enhanced keyboard interface enabling document production on computing devices like phones and tablets.

Claims

1. A speak and touch auto correction interface, comprising:

a key-input module for collecting one or more key inputs entered by a user;

an audio-input module for collecting one or more speech samples spoken by the user;

a multimodal speech recognition module for analyzing the one or more key inputs and performing actions based upon a classification type for the key inputs;

wherein the actions process the one or more speech samples to detect an utterance and to detect an ambiguity in the one or more key inputs.