Electronic device with text error correction based on voice recognition data
First Claim
1. A method of operating an electronic device with a storage, processing circuitry and input-output circuitry including at least a microphone and a display, the method comprising:
- recognizing spoken words;
storing spoken word data in a database corresponding to the recognized spoken words; and
after storing the spoken word data in the database;
receiving one or more text input characters;
performing an automatic correction process on at least a subset of the one or more text input characters based at least in part on the spoken word data stored in the database; and
after performing the automatic correction process, displaying on the display corrected text corresponding to at least one of the one or more text input characters.
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Accused Products

Abstract
During operation of an electronic device such as a cellular telephone with a touch screen display or other electronic equipment, a voice recognition engine may gather data on spoken words. Data on the spoken words that are recognized may be maintained in a spoken word database maintained by an input processor with an autocorrection engine. A user may supply text input that contains mistyped words to the electronic device using the touch screen or a keyboard. The input processor may use the autocorrection engine to automatically replace mistyped words with corrected versions of the mistyped words. The corrected words may be displayed in real time as the user supplies the text input. The autocorrection engine may make word correction decisions based at least partly on information in the spoken word database.
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21 Claims
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1. A method of operating an electronic device with a storage, processing circuitry and input-output circuitry including at least a microphone and a display, the method comprising:
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recognizing spoken words; storing spoken word data in a database corresponding to the recognized spoken words; and after storing the spoken word data in the database; receiving one or more text input characters; performing an automatic correction process on at least a subset of the one or more text input characters based at least in part on the spoken word data stored in the database; and after performing the automatic correction process, displaying on the display corrected text corresponding to at least one of the one or more text input characters. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. An electronic device, comprising:
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a storage; processing circuitry; input-output circuitry including at least a microphone and a display; and one or more programs, wherein the one or more programs are stored in the storage and configured to be executed by the processing circuitry, the one or more programs including instructions for; recognizing spoken words; storing spoken word data in a database corresponding to the recognized spoken words; and after storing the spoken word data in the database; receiving one or more text input characters supplied by a user of the electronic device; performing an automatic correction process on at least a subset of the one or more text input characters based at least in part on the spoken word data stored in the database; and after performing the automatic correction process, displaying on the display corrected text corresponding to at least one of the one or more text input characters. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A non-transitory computer-readable medium storing instructions for operating an electronic device, which, when executed by the device with a storage, processing circuitry and input-output circuitry including at least a microphone and a display, cause the device to perform operations comprising:
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recognizing spoken words; storing spoken word data in a database corresponding to the recognized spoken words; and after storing the spoken word data in the database; receiving one or more text input characters; performing an automatic correction process on at least a subset of the one or more text input characters based at least in part on the spoken word data stored in the database; and after performing the automatic correction process, displaying on the display corrected text corresponding to at least one of the one or more text input characters. - View Dependent Claims (16, 17, 18, 19, 20, 21)
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1 Specification
This is a continuation of U.S. application Ser. No. 12/891,720, filed Sep. 27, 2010, which is hereby incorporated by reference in its entirety.
This relates generally to systems that assist users in entering text correctly and, more particularly, to systems in which text corrections are made based on voice recognition data.
Users of computing equipment such as computers and handheld devices may enter text using input-output equipment. In a typical scenario, a user of a desktop computer may enter text into a word processing program or other software application using a keyboard. In devices with touch screens such as cellular telephones and tablet computers, user may enter text by tapping on on-screen keys.
Users are not perfectly accurate when entering text, particularly in situations in which a user is using small keys or when a user is distracted. As a result, user-entered text may contain errors.
Error correction capabilities are provided in many devices to assist a user in accurately entering text. Automatic error correction functions are generally implemented using a dictionary of known words. When a user enters a character sequence that does not correspond to a known word, the character sequence may be corrected. In some situations, a mistyped word may be automatically replaced with a corresponding correct word. In other situations, such as when a user pauses after entering a word, the user may be presented with a list of possible alternatives from which the correct word may be selected.
Error correction functions such as these are unaware of the user'"'"'s environment. As a result, autocorrection accuracy is limited. Mistyped words are generally replaced with commonly used words. While this type of approach may be satisfactory in some circumstances, there are limits to the accuracy level that may be achieved. It would therefore be desirable to be able to provide improve systems for assisting a user in making corrections when entering text.
Electronic devices such as cellular telephones and other computing equipment may contain touch screens and other displays. A user of an electronic device may supply text input that contains mistyped words. For example, a user may press an incorrect sequence of letter keys when typing a message or other document.
A microphone in an electronic device may be used to gather sound. The microphone may be used, for example, to gather spoken words in the vicinity of the electronic device. A voice recognition engine may be used to process signals from the microphone. Information on recognized spoken words may be stored in the electronic device. For example, a database that reflects the identity and frequency of various spoken words that have been recognized by the voice recognition engine may be maintained by an autocorrection engine.
As the user supplies the text input to an electronic device, the autocorrection engine may use information in the spoken word database to determine how best to perform autocorrection operations. The presence of a particular spoken word may, for example, help the autocorrection engine determine which of several possible replacement words would be most suitable to use to replace a mistyped word. By using contextual information from the spoken word database in addition to other information, autocorrection accuracy can be enhanced.
Autocorrection operations may be fully automated. With this type of arrangement, the autocorrection engine may make a word replacement automatically in response to receiving a space character or other such separator character from a user that indicates that the user has finished entering a particular word. Semi-automated correction techniques may also be used. For example, an autocorrection engine may display a list of potential word replacements for a user when a user pauses after entering a mistyped word. The order of the potential word replacements in the list may be influenced by the information in the spoken word database. For example, potential replacement words that match frequently spoken words may be provided with elevated prominence in the list.
Further features of the invention, its nature and various advantages will be more apparent from the accompanying drawings and the following detailed description of the preferred embodiments.
Electronic devices may be provided with the ability to process text and voice input. Text input may sometimes contain errors. An electronic device may be provided with autocorrection capabilities to handle erroneous text. The autocorrection capabilities may be implemented using an autocorrection engine. The autocorrection engine may gather voice data using a voice recognition engine. The voice data may include words that have been spoken and recognized by the voice recognition engine. During autocorrection operations, these spoken words may be used to provide context to the autocorrection engine that enhances autocorrection accuracy.
Autocorrection operations may be performed using equipment of the type shown in
Device 10 may be a desktop computer, a laptop computer, a tablet computer, a handheld computing device such as a cellular telephone, media player, gaming device, or navigation device, a pendant or wristwatch device, consumer electronics equipment such as a set-top box, television, or stereo system, or other electronic equipment. Illustrative examples of devices such as cellular telephones, media players, and tablet computers are sometimes described herein as an example.
As shown in
User text input may be provided to device 10 using an integral keyboard or an external keyboard, using a soft set of keys on a touch screen, or using other suitable input equipment. In the example of
The arrangement of
Device 10 may include input-output devices 80 such as displays, speakers, microphones, status indicator light-emitting diodes, sensors such as proximity sensors and accelerometers, touch screens, data port circuits coupled to data ports, analog input-output circuits coupled to audio connectors and other analog signal ports, track pads and other pointing devices, keyboards, key pads, buttons, wireless communications circuitry for forming links such as link 84 with equipment 86, etc.
The components of storage 76, processing circuitry 78, and input-output devices 80 need not be mutually exclusive. For example, processing circuitry 78 may contain memory, storage 76 may include circuitry that performs processing functions, and input-output circuitry 80 may include storage circuits and processing circuits.
During operation of device 10, device 10 may gather input. For example, a finger such as finger 81 or other external object may be used to touch keys 24 (e.g., on-screen keys) or keys in a keyboard in circuitry 80. Text may be entered one character after another to form text strings (e.g., words). For example, text may be entered when a user is composing a document such as an email message, a text message, a spreadsheet, or a word processing document, or when a user is otherwise interested in providing software on device 10 with text input (e.g., when filing in a dialog box, when entering a search term into a browser, when entering information into a calendar application, when performing operating system functions such as file search functions and command line functions, etc.).
In addition to gathering text input from a user, device 10 may use a microphone in circuitry 80 (e.g., a microphone within port 20) to gather audio input (sound) from a source such as sound source 82. Source 82 may be a person other than the user who is in the vicinity of device 10 and the user, may be the user of device 10, may be a person who is having a voice telephone call with the user over a cellular network or wireless local area network, or other suitable source of spoken word content (voice information in audio form). Device 10 may use input-output circuitry 80, processing circuitry 78, and storage 76 to perform voice recognition operations. For example, voice recognition engine code for performing voice recognition operations may be stored on storage 76, the code may be executed using processing circuitry 78, and, during execution of the voice recognition code, input-output circuitry 80 may use a microphone to gather sound such as spoken words and may digitize and recognize the gathered sound as words using an analog-to-digital converter and the resources of storage and processing circuitry 74.
Words that are recognized using voice recognition may be maintained in a database. The words that are detected in this way may be used to provide an autocorrection engine in device 10 with additional context to use in performing text autocorrection operations. If, for example, a user misspells a word, device 10 can consult a list of recently recognized words in the database to determine whether a correct version of the misspelled word is present. In situations in which multiple correctly spelled words are similar in spelling to a misspelled word, the use of the words in the voice recognition database may help device 10 decide which word is correct.
Autocorrection functions may be implemented using an input processor having an autocorrection capability. An input processor with autocorrection capabilities (i.e., an input engine with an autocorrection engine) may be implemented using code that is stored in storage 76, that is executed using processing circuitry 78, and that uses input-output circuitry 80 (e.g., to gather user input and to display text and other output for the user).
Software that may be executed on device 10 of
Input processor and autocorrection engine 30 may maintain one or more database such as database 32. Database 32 may contain a dictionary of correctly spelled words, may contain mappings from common misspellings to correct spellings, and other data that input processor and autocorrection engine 30 may use in correcting errors in text input 38. Text that is supplied as input 38 (possibly containing errors) may be corrected by input processor 30 and the corresponding corrected version of the text input may be provided to software such as application 28 that uses text input. Software 28 may be an operating system function, a word processor that displays text in the form of text documents, an email client that displays text for the body of email messages, a spreadsheet program that displays text as part of a spreadsheet, an instant messaging client that displays text associated with text messages, or other suitable software.
Spoken words that are recognized by voice recognition engine 36 and information on their frequency and timing may be stored in autocorrection database 32. If, for example, a user of device 10 is in the vicinity of a lecturer in a lecture hall, input processor 30 may store words from a lecture that is being presented by the lecturer in database 32. As input processor 30 analyzes errors in text input 38 to determine how best to correct these errors, input processor 30 may consult the contents of database 32. The recognized spoken words from the lecture that are stored in database 32 may provide useful contextual information that assists input processor 30 in accurately determining how to proceed in correcting errors. If, for example, a word such as “hit” has recently been spoken, input processor 30 may use this information in determining that a mistyped word such as “het” should be corrected to read as “hit” rather than being corrected to read as “the.”
The amount of influence that the recognized words in database 32 have on the operation of input processor 30 may vary as a function of time and other factors. If, for example, a particular word was recently spoken, that word may be given more influence in determining the outcome of a particular error correction operation than if the word was not recently spoken. Illustrative time frames for maintaining spoken words in database 32 include ten seconds, less than ten seconds, 30 seconds or less, 1-5 minutes or less, 20 minutes or less, 1-10 hours, 1-10 days, etc.
User agreement (e.g., in the form of user selection of a particular correction from a list of possible corrections) may be used to help train input processor 30. For example, if a spoken word that was recognized by voice recognition engine 36 and that was stored in database 32 is presented to the user as a possible replacement for a mistyped word, the user may select that word to use as a replacement for the mistyped word (e.g., by selecting an on-screen option on display 14). Input processor 30 may use database 32 to maintain information on user-confirmed corrections of this type (sometimes referred to as semiautomatic corrections) and may use this information to improve autocorrection accuracy (e.g., by making the user-selected correction more prominent in subsequently displayed lists of possible corrections, by using the user-selected correction when appropriate during operation in a fully automatic correction mode, etc.).
Autocorrection database information such as information in database 32 that includes voice recognition data from voice recognition engine 36 (e.g., recognized versions of the words in spoken input 40) may be stored in one or more tables or other suitable data structures. Illustrative database tables of the type that may be used in database 32 are shown in
In the scenario of
During operation of device 10 input processor 30 may use table 42 of
In an environment in which voice recognition engine 36 is able to recognize the presence of words of spoken input 40, the presence of the recognized words may be reflected in database 32. As shown in the scenario of
Initially, a user may enter the character “h” (shown in box 50 of
The behavior of device 10 after the user types the misspelled word “het,” may depend on whether the user continues typing or whether the user pauses (as an example). If the user continues typing by typing a space character, the incorrect word “het” and the space character may be displayed on display 14 (see box 56) in response to detection of the space character (or other such separator character). In this situation, the fully automatic correction capabilities of the autocorrection engine in input processor 30 may be used to automatically correct the incorrect word “het” by replacing “het” with “hit” on display 14 in real time (see, e.g., box 58).
If, however, the user pauses (e.g., for a fraction of a second or longer) after typing “het” (box 54), input processor 30 may present the user with a list of possible choices for replacement words. As shown in box 60 of
In the example of
Illustrative steps involved in operating device 10 in an environment in which spoken words are present while a user is supplying text to the device are shown in
At step 64, device 10 may gather input from the environment. During the operations of step 66, for example, voice recognition engine 36 of input processor 30 (
During the operations of step 68, text input may be gathered from a user. For example, a touch sensor with soft keys or a keyboard in circuitry 80 may be used to gather text input 38 corresponding to touch screen touch events and/or key presses by a finger or other external object (object 81 of
During the operations of step 70 (some or all of which may be performed simultaneously with the operations of step 64), input processor 30 may use the gathered input from step 64 to update one or more databases in device 10 (represented as autocorrection database 32 in
Input-output circuitry 80 may display text as it is entered by the user on display 14 (e.g., within a window associated with application 28, within an overlay window controlled by input processor 30, etc.). The boxes of
While the user is entering text, the autocorrection functions of input processor and autocorrection engine 30 may be active. Automatic corrections may be made as the text is entered.
As described in connection with boxes 54, 56, and 58 of
As described in connection with boxes 54, 60, and 62 of
Word corrections may be made automatically as complete words are typed or as parts of words are typed. As indicated by line 72 in
The foregoing is merely illustrative of the principles of this invention and various modifications can be made by those skilled in the art without departing from the scope and spirit of the invention.