1153 results about "Recognition speech" patented technology

A mobile terminal including a voice receiving unit configured to receive input voice, a controller configured to convert the received input voice to text, a display configured to display the converted text, and an input unit configured to select a word included in the displayed converted text. Further, the controller is further configured to control the display to display a plurality of possible candidate words corresponding to the selected word in an arrangement in which a corresponding displayed candidate word is displayed with a proximity from the selected word that is based on how similar the corresponding candidate word is to the selected word.

A speech recognition apparatus includes a speech recognition dictionary and a speech recognition unit. The speech recognition dictionary includes comparison data used to recognize a voice input. The speech recognition unit is adapted to calculate the score for each comparison data by comparing voice input data generated based on the voice input with each comparison data, recognize the voice input based on the score, and produce the recognition result of the voice input. The speech recognition apparatus further includes data indicating score weights associated with particular comparison data, used to weight the scores calculated for the particular comparison data. After the score is calculated for each comparison data, the score weights are added to the scores of the particular comparison data, and the voice input is recognized based on total scores including the added score weights.

An intermediary system and method are disclosed for providing users access to enterprise data via the Internet, Wireless PDA, VoIP Phone, Wireless Phone, and GSM/EDGE SmartPhone, and other communication devices. The intermediary system allows users to access enterprise data based on the user's role in the enterprise, the user's assigned privileges, or the user's object permissions. The intermediary system tailors the enterprise data for the user based on the type of communication device of the user, the point in time the user communicates with the system, or the location in a network where the user is communicating with the system. Depending on the above criteria, the user is given a “view” of the enterprise data that relates more directly to the user's current needs, duties, and tasks.

Voicemail is received at a voicemail server and converted to an audio file format; it is then sent or streamed over a wide area network to a voice to text transcription system comprising a network of computers. One of the networked computers plays back the voice message to an operator and the operator intelligently transcribes the actual message from the original voice message by entering the corresponding text message (actually a succinct version of the original voice message, not a verbose word-for-word conversion) into the computer to generate a transcribed text message. The transcribed text message is then sent to the wireless information device from the computer. Because human operators are used instead of machine transcription, voicemails are converted accurately, intelligently, appropriately and succinctly into text messages (SMS/MMS).

Combining speech with existing text wireless Short Message Service (SMS), to create a multimodal SMS service. A user of standard SMS text service is provided with a link within each message that allows adding or retrieval of a voice message associated with an SMS text message. A speech server in the wireless network may be used for recognition of voice commands, rendering of text into speech, and recording or playing back voice recordings. The messages may be retrieved or sent using any wireless handset. Additional services that may be used include message lists, prerecorded messages, integration with voicemail systems, image and video messages, cross-functional applications with Multimedia Messaging Services (MMS) and Enhanced Message Services (EMS), and extensions of the combination of voice with text SMS to other computing devices such as PDAs and PCs.

A spoken message that a user wishes to have converted to a SMS or MMS message is received at a voicemail server and converted to an audio file format; it is then sent or streamed over a wide area network to a voice to text transcription system comprising a network of computers. One of the networked computers plays back the voice message to an operator and the operator intelligently transcribes the actual message from the original voice message by entering the corresponding text message (actually a succinct version of the original voice message, not a verbose word-for-word conversion) into the computer to generate a transcribed text message. The transcribed text message is then sent to the wireless information device from the computer as a SMS or MMS text message. Because human operators are used instead of machine transcription, voicemails are converted accurately, intelligently, appropriately and succinctly into text messages (SMS/MMS).

Onboard information device mounted on vehicle to provide information for supporting passenger includes voice acquisition unit that continually detects and acquires voice the passenger utters while the onboard information device is operating; voice recognition unit that recognizes speech contents of the voice the voice acquisition unit acquires; vehicle state detector that detects vehicle state including environmental state in the vehicle, surrounding state of the vehicle or operating state of the vehicle; output controller that creates display data or voice data from the speech contents recognized by the voice recognition unit according to the vehicle state the vehicle state detector detects, and that controls output of the display data or voice data; and output unit that outputs the display data or voice data the output controller creates. It can perform effective conversation support in real time according to recognition result obtained by continually recognizing speech contents of the passenger.

A voice messaging system includes an input device to accept a destination electronic messaging address, a voice-to-text converter to convert or transcribe a received voice message into a converted text message, and a processor to operate an electronic messaging program and to prepare the text message for automatic electronic transmission to the destination electronic messaging address. A method is also provided to convert a voice message into a text message and to transmit the same to a destination electronic messaging address. The method includes inputting a destination electronic messaging address. A received voice message is converted or transcribed into a text message and prepared as a text file. The prepared text file is automatically transmitted to the destination electronic messaging address. A log file including the text of the voice messages may be maintained with updates at a predetermined time interval. A database of the converted text messages may be generated and maintained to provide a searchable mechanism of archived messages.

Systems and methods for providing voice-to-text haptic augmentation in a user interface are disclosed. For example, one disclosed system for converting audible speech information to a haptic effect includes a microphone and a processor in communication with the microphone, the processor configured to receive an audio signal associated with a voice from the microphone, determine a characteristic of the audio signal, and generate an actuator signal based at least in part on the characteristic, the actuator signal configured to cause an actuator to output a haptic effect.

A system and method for speech recognition includes generating a set of likely hypotheses in recognizing speech, rescoring the likely hypotheses by using semantic content by employing semantic structured language models, and scoring parse trees to identify a best sentence according to the sentence's parse tree by employing the semantic structured language models to clarify the recognized speech.

A system for providing voice-to-text captioning service comprising a relay processor that receives voice messages generated by a hearing user during a call, the processor programmed to present the voice messages to a first call assistant, a call assistant device used by the first call assistant to generate call assistant generated text corresponding to the hearing user's voice messages, the processor further programmed to run automated voice-to-text transcription software to generate automated text corresponding to the hearing user's voice messages, use the call assistant generated text, the automated text and the hearing user's voice messages to train the voice-to-text transcription software to more accurately transcribe the hearing user's voice messages to text, determine when the accuracy exceeds an accuracy requirement threshold, during the call and prior to the automated text exceeding the accuracy requirement threshold, transmitting the call assistant generated text to the assisted user's device for display to the assisted user and subsequent to the automated text exceeding the accuracy requirement threshold, transmitting the automated text to the assisted user's device for display to the assisted user.

In embodiments of the present invention improved capabilities are described for sending a communications header with voice recording to send metadata for use in speech recognition and formatting when converting voice to text on a mobile communication facility comprising capturing speech presented by a user using a resident capture facility on the mobile communication facility; transmitting a communications header to a speech recognition facility from the mobile communication facility via a wireless communications facility, wherein the communications header includes at least one of device name, network provider, network type, audio source, a display parameter for the wireless communications facility, geographic location, and phone number information; transmitting at least a portion of the captured speech as data through a wireless communication facility to a speech recognition facility; generating speech-to-text results for the captured speech utilizing the speech recognition facility based at least in part on the communications header; transmitting the text results from the speech recognition facility to the mobile communications facility; and entering the text results into a text field on the mobile communication facility.

PCT No. PCT/GB96/02176 Sec. 371 Date Apr. 3, 1998 Sec. 102(e) Date Apr. 3, 1998 PCT Filed Sep. 4, 1996 PCT Pub. No. WO97/11435 PCT Pub. Date Mar. 27, 1997A transaction support apparatus is used by one or more human transaction operators, each provided with a telephone. It includes a speech recognition device having: a speech input coupled to receive a speech signal input to a telephone by a transactiob operator, a speech recognition processor arranged to recognize predetermined transaction parameters within the speech signal; and a parameter output at which the speech recognition device is arranged to make values of the parameters thus recognized available.

The invention provides a method and a device for recognizing personalized speeches. The method includes: A, determining whether a speech to be recognized belongs to an authorized user or not; if yes, using a speech recognition module corresponding to the authorized user to recognize the speech to be recognized; and if not, executing a step B; B, determining what dialect type the speech to be recognized belongs to, and using a speech recognition module, corresponding to the dialect type which the speech to be recognized belongs to, to recognize the speech to be recognized. Precision in recognizing speeches of various users can be improved by the use of the method and device.

The present invention provides systems, software and methods method for accurate vowel detection in speech to text conversion, the method including the steps of applying a voice recognition algorithm to a first user speech input so as to detect known words and residual undetected words; and detecting at least one undetected vowel from the residual undetected words by applying a user-fitted vowel recognition algorithm to vowels from the known words so as to accurately detect the vowels in the undetected words in the speech input, to enhance conversion of voice to text.

Speech recognition methods, systems, and interfaces are used in the generation of medical reports from data in a hierarchically-organized database for the entry and searching of data in a database based on spoken utterances of a user. A workflow function facilitates a series of contexts, typically based on information in a knowledge base, that are used to establish procedural rules and word-mapping databases for each context for word-matching data entry based on spoken utterances of a user. The generation of medical reports from the entered medical data provides for searching the database generated using the speech recognition methods. The series of contexts and word-mapping databases are developed using a hierarchically-organized database representation based on knowledge regarding the relationship of data items in the main database.

Embodiments of techniques or systems for fraud detection are provided herein. A communication may be received where the communication includes one or more voice signals from an individual. Frequency responses associated with these voice signals may be determined and analyzed and utilized to determine whether or not potential fraudulent activity is occurring. For example, if a frequency response is greater than a frequency threshold, potential fraudulent activity may be determined. Further, frequency responses may be cross referenced with voice biometrics, voice printing, or fraud pathway detection results. In this way, voice stress or frequency responses may be utilized to build other databases related to other types of fraud detection, thereby enhancing one or more aspects of fraud detection. For example, a database may include a voice library, a pathway library, or a frequency library which include characteristics associated with fraudulent activity, thereby facilitating identification of such activity.

A system is provided for segmenting a character sting into useable parts and for deriving statistically relevant and searchable patterns from those separate parts. The system includes a corpus containing an initial set of character strings for processing, a corpus processor for identifying and segmenting each of the character strings, a segmentation rule available to the processor, and a pattern generator for generating the patterns.