511 results about "Transformation of text" patented technology

Electronic device and method for speech to text conversion procedure, wherein the overall conversion result may include smaller portions with multiple conversion options that are audibly and optionally visually or tactilely reproduced for user confirmation, thereby resulting enhanced conversion accuracy with minimal additional effort by the user.

A speech-to-text conversion module uses a central database of user speech profiles to convert speech to text. Incoming audio information is fragmented into numerous audio fragments based upon detecting silence. The audio information is also converted to numerous text files by any number of speech engines. Each text file is then fragmented into numerous text fragments based upon the boundaries established during the audio fragmentation. Each set of text fragments from the different speech engines corresponding to a single audio fragments is then compared. The best approximation of the audio fragment is produced from the set of text fragments; a hybrid may be produced. If no agreement is reached, the audio fragment and set the text fragments are sent to human agents who verify and edit to produce a final edited text fragment that best corresponds to the audio fragment. Fragmentation that produces overlapping audio fragments requires splicing of the final text fragments to produce the output text file.

A system and method for creating a final text from an audio file. This has particular utility in completing forms with speech-to-text conversion. The system and method includes transcribing the audio file into a transcribed text file using a speech recognition program. They further include comparing the transcribed text file with a previously created text file to determine differences between the transcribed text file and the previously created text file. Finally, the system and method includes correcting one of the transcribed text file or the previously created text file based upon the differences to create the final text.

This invention discloses a voice enabled knowledge system, comprising a speech recognition engine and text to speech engine. The speech recognition engine further comprises a representation unit to represent the spoken words, a model classification unit to classify the spoken words, a training database to match the spoken words with preset words and a search unit to search for the spoken word in said training database, based on the results of said model classification. The text to speech engine for conversion of an input text to speech, comprises a text pre-processing unit for analyzing the input text in a sentence form, a prosody unit for word recognition using said acoustic model, a concatenation unit for converting the diphone equivalents into words and thereafter into a sentence and an audio output device for speech output.

A personal information manager including a data input device receiving an audio data stream, and decoding the data stream into text. A dialog manager is provided having a record mode and a dialog mode, the dialog manager examines the decoded text received to determine whether it contains one of an explicit and an implicit data processing request. The dialog manager immediately passing explicit data processing requests and queuing implicit data processing requests. An information storage/retrieval module is provided for storing and retrieving data from a database. The information storage/retrieval module executing data processing requests specified by the dialog manager. A an output module is provided for converting text received from the dialog module into speech and outputting the speech in response to a data processing request. The dialog manager passing implicit processing requests to the information storage/retrieval module during periods of inactivity.

Various embodiments include an apparatus and a method to secure protected digital document content from tampering by their user, such as unauthenticated use or use violating a policy of the digital document. The digital document file can be transferred from a network node such as a web site server to a digital appliance, such as a computer, in encrypted form. The digital document file can be resident already on a device, and/or be transferred into a device that is connected to the digital appliance. The device (hereafter a DRM device) can internally store the digital document or part of the document. The DRM device may decrypt the digital document when requested to do so. The device may further format the content for usage, for example, convert text into its graphic bitmap representation. Device formatting can include sending plain text data to the digital appliance. The device may further process degradation to the resulted file, for example, reduce the resolution of the graphic representation. The digital appliance uploads the result of the processing or sections of the result of the processing for user access via the digital appliance.

A method (and associated apparatus) comprises associating a mood tag with text. The mood tag specifies a mood to be applied when the text is subsequently converted to an audio signal. In accordance with another embodiment, a method (and associated apparatus) comprises receiving text having an associated mood tag and converting the text to speech in accordance with the associated mood tag.

The present invention provides a wireless natural language query system, architecture, and method for processing multimodally-originated queries, including voice and proximity-based queries. The natural language query system includes a Web-enabled device including a speech input module for receiving a voice-based query in natural language form from a user and a location/proximity module for receiving location/proximity information from a location/proximity device. The natural language query system also includes a speech conversion module for converting the voice-based query in natural language form to text in natural language form and a natural language processing module for converting the text in natural language form to text in searchable form. The natural language query system further includes a semantic engine module for converting the text in searchable form to a formal database query and a database-look-up module for using the formal database query to obtain a result related to the voice-based query in natural language form from a database.

A computer-based system and method for speech to text conversion preprocessing of a presentation with a speech audio, useable in real time. The method captures a presentation speech audio input to be converted into text, temporally associates the speech audio input with at least one supporting text source from the same presentation containing common keywords and creates an optimized and prioritized keyword positional index metadata set for inputting into a speech to text conversion processor.

A system and method for automatically generating annotated filenames for digital image files allows users to create meaningful filenames for digital image files captured by a digital camera. After an image is captured by the digital camera, an audio annotation containing audio information is associated with the digital image file. The audio information in the audio annotation is converted to a text string using speech-to-text conversion. The text string is then associated with the digital image file as the annotated filename of the digital image file.

A method and system for operational improvements in a dispatch console in a multi-source environment includes receiving (310) a plurality of audio streams simultaneously from a plurality of mobile devices, transcribing received audio streams by the means of speech-to-text conversion, presenting real-time transcriptions to the user and determining (320) if a first keyword is present in at least one of the plurality of audio and/or text streams. Upon determining the presence of the first keyword, the dispatch console automatically performs (330) at least one predefined dispatch console operation from a list of predefined dispatch console operations. The dispatch console further receives (340) a second keyword based on determining the presence of the first keyword and checks (350) for the presence of the second keyword within the audio and/or text streams thereby enabling additional automated dispatch console operations.

A method for converting text into animation and device thereof is capable of converting text into corresponding animation, comprising steps of text inputting; speech synthesizing, synthesizing an input text in order to obtain corresponding audio files; video synthesizing, including steps of spelling analyzing and mouth shape synthesizing, which are doing phonetic analysis for the text to obtain corresponding spellings for the text, then extracting images corresponding to the spelling from a preset data base of mouth shape of spelling, and finally synthesizing the images into a video files; animation synthesizing, synthesizing the audio file and video file into images. The device for converting text into animation comprises a tent inputting module, a speech synthesizing module, a video synthesizing module, and an animation synthesizing module. The text input by users are processed by the modules, thereby the animation in accordance with text is obtained, achieving the goal of conversion of text to animation.

Systems and methods are provided to compute indicators of completeness of the work output of a transformation of text-based content, worker capacity in performing the transformation, and/or the degree of matching between a unit of work and a worker, based on information collected about complexity of works, times and throughput of workers, rating of work outputs and using natural language processing techniques and machine learning techniques, such as language detection, longest common substring, length ratio, document similarity, etc. The indicators are utilized to optimize job pickup and output submission for online crowdsourcing tasks related to transformation of text-based content, such as transcription, translation, proofreading, etc.

The invention relates to a system and method for displaying webpage character information with multiple fonts, sizes, language types and styles in an embedded system based on digital transmission network, comprising webpage information transmitting equipment, transmission network and receiving equipment. It especially relates to the display of webpage information with multiple fonts and sized, language types and styles in a data broadcasting system based on digital TV, and the data broadcasting system comprises webpage information broadcast transmitting equipment, digital TV transmission network and digital TV set-top box (STB). The method of the invention converts webpage characters into image data in advance to make superposition with other graphics, thus able to thoroughly solve the related problems.

A system for tuning the text-to-speech conversion process having a text-to-speech engine that converts the input text into a processed text form which includes speech features. A visual editing interface displaying the processed text form using graphical indicators on an output device to allow a user to edit the text and graphical indicators to modify the speech features of the text input.

The invention provides a method of using semantic recognition for automatic coding conversion. The method includes: collecting original coding and a sample data set of a corresponding relation described by diagnosis; preprocessing data in a diagnosis text historical library according to medical rules, and performing word segmentation; building a synonym library for data in a diagnosis text training set, and performing preprocessing and word segmentation according to medical rules; calculating a document IDF weight value corresponding to each word in the diagnosis text historical library; performing word segmentation on each diagnosis text record in the diagnosis text training set to generate a training set TF-IDF matrix formed by text conversion; performing word segmentation on a to-be-converted diagnosis text record to acquire a word vector, comparing the word vector with the training set TF-IDF matrix, and finding disease coding corresponding to a most similar result in the training set through a cosine similarity formula. By the method, coding represented by text description can be converted automatically according to diagnosis text description written for a patient by a doctor.

A keyword extraction method is provided. In the method, a candidate keyword set in a target text is obtained by processing circuitry of a server. An extraction degree of the candidate keyword is determined by the processing circuitry based on subject similarity and a text conversion frequency of a candidate keyword in the candidate keyword set. The subject similarity is between the candidate keyword and the target text. The extraction degree indicates a probability at which the candidate keyword used as a keyword matching the target text is extracted. The keyword is extracted by the processing circuitry from the candidate keyword set according to the extraction degree.

An apparatus for managing an address book in a portable terminal includes: a camera section adapted to photograph a text to output a text image signal; an image processing section adapted to convert a text image signal into a digital image data; a text conversion section adapted to convert digital image data into text data with a text recognition program; and a control section adapted to store private information text data of the converted text data in a corresponding item of the address book when one or more items of the address book include an item coinciding with an item of text data converted by the text conversion section.

The present invention discloses a method which is used to transform a text message into a voice playing in a cell phone. The method aims at the content of the characters in the existing message, to initialize the dynamic Pinyin base after starting up the cell phone; the dynamic Pinyin base is adjusted after receiving a new message; the characters in the text are transformed into the Pinyin and the tones, after the user pressing a voice playing key while reading the message, then each Pinyin data is called out from the dynamic Pinyin base, to form a Pinyin data flow, to be sent to a voice processing chip; the voice processing chip transforms the voice data flow into a simulating voice signal, and the simulating voice signal is sent to a speaker of the cell phone to play out. A big storage space of the cell phone is unnecessary by adopting the present invention, and the content of the message can be transformed into the voice to playing. The method is quite convenient for the cell phone user.

The embodiment of the invention discloses a method for realizing simultaneous interpretation, a device and a mobile terminal thereof. The method comprises the following steps: the voice of a first language is received and converted into words; then the words of the first language is translated into the words of a second language; finally, the words of the second language is converted into the voice of the second language and is uttered. The embodiment of the invention can ensure that the communication of two parties using different languages can be realized smoothly in a real-time manner, thereby bringing convenience for lives of people and ensuring that the mobile terminal is more personalized and humanized.

A summary generating apparatus includes; a text storage device storing text with information indicating a portion to be focused on; word vector converters vectorizing each word of the text and adding an element indicating whether the word is focused on or not to the vector and thereby converting the text to a word vector sequence; an LSTM implemented by a neural network performing sequence-to-sequence type conversion, pre-trained by machine learning to output, in response to each of the word vectors of the word vector sequence input in a prescribed order, a summary of the text consisting of the words represented by the word sequence; and input units inputting each of the word vectors of the word vector sequence in the prescribed order to the neural network.