Abstract: In one embodiment, the method includes a computing device receiving one or more characters as a user enters the characters into a graphical user interface (GUI) of the computing device. The method also includes the computing device determining one or more auto-suggestions, where each of the auto-suggestions presents a character string determined based at least in part on the entered characters. The method also includes the computing device determining a degree of difficulty of the user completing the respective character string for each of the auto-suggestions. The method further includes, for each of the auto-suggestions, if the degree of difficulty is at least approximately equal to or exceeds a pre-determined threshold, the computing device providing to the user the auto-suggestion for completing the character string.

Abstract: Methods and systems are provided for receiving desired sounds. The system includes a position sensor configured to determine an occupant position of an occupant engaging in speech within a defined space and transmit the speaking occupant position. A plurality of microphones are configured to receive sound from within the defined space and transmit audio signals corresponding to the received sound. A processor, in communication with the position sensor and the microphones, is configured to receive the speaking occupant position and the audio signals, apply a beamformer to the audio signals to direct a microphone beam toward the occupant position, and generate a beamformer output signal.

Abstract: A method for arbitrating spoken dialog results includes receiving a spoken utterance from a user within an environment; receiving first recognition results and a first confidence level associated with the spoken utterance from a first source; receiving second recognition results and a second confidence level associated with the spoken utterance from a second source; receiving human-machine-interface (HMI) information associated with the user; selecting between the first recognition results and the second recognition results based on at least one of the first confidence level, the second confidence level, and the HMI information.

Abstract: The presented is a tool and method for language presentation, browsing, editing, translation and communication based on Semantic Web, to be utilized as interface for collaborating software products and services or human-machine interaction. The conceptual system is extended to further include such objects as language components, sentence patterns or syntax rules, to get solutions for semantic logic representation devices, language presentation devices, semantic-language converting devices, the registry and delegation system, in forming a language-component-based system for browsing, editing, conversion and communication.

Abstract: A method estimates source signals from a mixture of source signals by first training an analysis model and a reconstruction model using training data. The analysis model is applied to the mixture of source signals to obtain an analysis representation of the mixture of source signals, and the reconstruction model is applied to the analysis representation to obtain an estimate of the source signals, wherein the analysis model utilizes an analysis linear basis representation, and the reconstruction model utilizes a reconstruction linear basis representation.

Abstract: A system may determine text for inclusion in a voice corpus for use in text-to-speech (TTS) processing using an interface that allows multiple entities to connect and review potential text segments concurrently. The interface may allow networked communication with the system. Individual text segments may be approved or rejected by reviewing entities, such as proofreaders. The system may prioritize text segments to send to reviewers and may re-prioritize text segments based on a linguistic coverage of previously accepted text segments.

Abstract: There is provided an information processing apparatus including an information acquiring unit that acquires information to identify an editing point of content including a voice, on the basis of language analysis of the content, and an information output unit that outputs the acquired information.

Abstract: A device for aiding communication in the aeronautical domain, wherein the device includes a transceiver and data processor assembly that records audio messages corresponding to all the incoming and outgoing audio communications, transcribes the messages, in real time, into textual messages, displays the textual messages, and enables an audio play back of the audio messages.

Abstract: A system for analyzing text-based information is presented. Each datum of information includes an author, a description and a timestamp. A fetcher fetches the raw information according to keywords. A parser parses the raw information to refine the results. A lexicon management module extracts lemmas from the raw information, and creates an edited lexicon containing the raw data and the lemmas for each datum. A data manager correlates lemmas in the edited lexicon and identifies clusters of lemmas that are correlated between each other. The results can be visually displayed to a user, and clusters of lemma that are less correlated than the other clusters can be visually identified. In one aspect, the user is able to excise the less correlated clusters, in order to further refine the results of the keyword search.

Abstract: Word phrases are stored in a phrase structure. Each word is stored as a keyword in a keyword structure. Each keyword is associated with usage attributes identifying use of a word in a word phrase. Any preceding words associated with a keyword, and a mapping from any preceding words to a word phrase, is stored for each word. A word string is input. Match attributes are updated in a match structure if a word in the word string matches any keyword and if any preceding words associated with any matching keyword includes a preceding word which precedes the word in the word string. The match attributes indicate use of the matching word in the word string and in a word phrase. Whether a word phrase is present in the word string is determined based on the usage attributes and the match attributes associated with multiple matching words.

Abstract: In one embodiment, a translator quality assurance system may rate a translation using a mapping chart. A data interface 150 may access a translation dictionary matching a source language to a target language. A processor 120 may map automatically a sentence pair having a source sentence 310 in a source language and a target sentence 320 in a target language at a linguistic level using the translation dictionary. A user output device 170 may display a translation quality report of the target sentence 320.

Abstract: Disclosed herein are systems, methods, and computer-readable storage devices for processing audio signals. An example system configured to practice the method receives audio at a device to be transmitted to a remote speech processing system. The system analyzes one of noise conditions, need for an enhanced speech quality, and network load to yield an analysis. Based on the analysis, the system determines to bypass user-defined options for enhancing audio for speech processing. Then, based on the analysis, the system can modify an audio transmission parameter used to transmit the audio from the device to the remote speech processing system. The audio transmission parameter can be one of an amount of coding, a chosen codec, an amount of coding, or a number of audio channels, for example.

Abstract: An audio correction apparatus and an audio correction method. The audio correction method includes: receiving audio data, which may be input by a user and/or an instrument uttering sounds; detecting onset information by analyzing harmonic components of the received audio data; detecting pitch information of the received audio data based on the detected onset information; comparing the audio data with reference audio data and aligning the two based on the detected onset information and the detected pitch information; and correcting the aligned audio data to match the reference audio data.

Abstract: An apparatus is provided for determining a lyric importance level, comprising a memory and a processor executing instructions stored in the memory. The processor executes instructions stored in the memory to acquire lyric information, the lyric information identifying: lyrics of a song; and lyric location information indicating locations of the lyrics within the song. The processor further executes instructions stored in the memory to acquire section information, the section information identifying: sections of the song; section importance levels corresponding to the sections; and section location information indicating locations of the sections within the song. The processor still further executes instructions stored in the memory to identify, based on the lyric location information and the section location information, one or more sections corresponding to a subset of the lyrics; and determine, based on the section importance levels, a lyric importance level of the subset.

Abstract: A system and computer product for validating the consistency between quantitative and natural language textual evaluations. An example method involves computing a numeric score for a textual evaluation, comparing the numeric score to a quantitative evaluation, and producing a rating based on the similarity of the two evaluations.

Abstract: A method comprising using at least one hardware processor for: receiving (a) a proposition and (b) a plurality of claims; identifying a local claim polarity of each claim of the plurality of claims with respect to the proposition; calculating a pairwise claim polarity agreement score for each pair of claims of the pairs of claims reflecting the likelihood of said each pair of claims to have the same claim polarity, wherein the pairwise claim polarity agreement score is associated with each claim of the pair of claims; and determining a global claim polarity for each claim of the plurality of claims based on the local claim polarity of the claim and pairwise claim polarity agreement scores associated with said each claim.

Abstract: A system and computer product for validating the consistency between quantitative and natural language textual evaluations. An example method involves computing a numeric score for a textual evaluation, comparing the numeric score to a quantitative evaluation, and producing a rating based on the similarity of the two evaluations.

Abstract: A conversational, natural language voice user interface may provide an integrated voice navigation services environment. The voice user interface may enable a user to make natural language requests relating to various navigation services, and further, may interact with the user in a cooperative, conversational dialogue to resolve the requests. Through dynamic awareness of context, available sources of information, domain knowledge, user behavior and preferences, and external systems and devices, among other things, the voice user interface may provide an integrated environment in which the user can speak conversationally, using natural language, to issue queries, commands, or other requests relating to the navigation services provided in the environment.

Abstract: An automated method is described for developing an automated speech input semantic classification system such as a call routing system. A set of semantic classifications is defined for classification of input speech utterances, where each semantic classification represents a specific semantic classification of the speech input. The semantic classification system is trained from training data from training data substantially without manually transcribed in-domain training data, and then operated to assign input speech utterances to the defined semantic classifications. Adaptation training data based on input speech utterances is collected with manually assigned semantic labels from at least one source of already collected language data. When the adaptation training data satisfies a pre-determined adaptation criteria, the semantic classification system is automatically retrained based on the adaptation training data.

Abstract: Systems and methods for providing style-based spellchecking are provided. An example system includes a dictionary that includes one or more words in a language. At least one word in the dictionary is based on one or more styles of the language. The system also includes a language module that receives a user selection of the language in which to spellcheck a document. The system further includes a style module that receives a user selection of one or more selected styles of the language. The system also includes a spellchecking module that identifies in the document a word applicable to the one or more selected styles and that determines whether the dictionary includes one or more spellings of the word based on the one or more selected styles.