Abstract: A computer-implemented method of translating text from a source language to a target language includes the steps of (a) detecting a source language on a first communication device, (b) detecting a location of the first communication device, (c) determining the target language based upon the detected location of the first communication device, (d) receiving an input for translation from the first communication device, (e) displaying a list of popular source phrases that are similar to the received input on the first communication device, (f) translating a user selected similar popular source phrase if the user selects the similar popular source phrase, else translating the input by means of a machine translation engine, and (g) displaying the translation output of the user selected similar popular source phrase if the user selected the similar popular source phrase, else determining if the translation output from the machine translation engine has been approved by a human translator, submitting the translation

Abstract: A method and apparatus utilizing a prediction guided decimated search motion estimation algorithm are provided. The prediction guided decimated search motion estimation algorithm generates a motion vector used to encode a macroblock in a frame from a video sequence. The algorithm includes generating full-pixel seed vectors, performing a full-pixel search around the generated seed vectors, which is followed by a fractional pixel search. The full-pixel seed vectors generated are a predicted motion vector and a hierarchical motion vector. A fractional pixel search may be conducted around a final motion vector generated by the full-pixel search and may include a half-pixel search and a quarter-pixel search. The prediction guided decimated search motion estimation algorithm can be implemented in both software and hardware. The algorithm is characterized by improved efficiency, scalability, and decreased complexity.

Abstract: The signal processing is based on the concept of using a time-domain aliased (12, TDA) frame as a basis for time segmentation (14) and spectral analysis (16), performing segmentation in time based on the time-domain aliased frame and performing spectral analysis based on the resulting time segments. The time resolution of the overall ?segmented? time-to-frequency transform can thus be changed by simply adapting the time segmentation to obtain a suitable number of time segments based on which spectral analysis is applied. The overall set of spectral coefficients, obtained for all the segments, provides a selectable time-frequency tiling of the original signal frame.

Abstract: Disclosed are techniques and systems to provide a narration of a text in multiple different voices where the portions of the text narrated using the different voices are selected by a user.

Abstract: A method for perceptual spectral decoding comprises decoding of spectral coefficients recovered from a binary flux into decoded spectral coefficients of an initial set of spectral coefficients. The initial set of spectral coefficients are spectrum filled. The spectrum filling comprises noise filling of spectral holes by setting spectral coefficients in the initial set of spectral coefficients not being decoded from the binary flux equal to elements derived from the decoded spectral coefficients. The set of reconstructed spectral coefficients of a frequency domain formed by the spectrum filling is converted into an audio signal of a time domain. A perceptual spectral decoder comprises a noise filler, operating according to the method for perceptual spectral decoding.

Abstract: Exemplary embodiments enable generating and propagating editing suggestions for system representations implemented in different formalisms. Exemplary embodiments enable representation of one or more portions of an underlying system in different formalisms. Exemplary embodiments automatically generate suggestions for editing a particular representation based on an analysis of the particular representation, the formalism in which the particular representation is implemented, at least one other representation of the underlying system, and the formalism in which the at least one other representation is implemented. Exemplary embodiments also generate corresponding suggestions for editing at least one other representation of the underlying system based on an analysis of the at least one other representation and the formalism in which it is implemented.

Abstract: Disclosed are techniques and systems to provide a narration of a text in multiple different voices. Further disclosed are techniques and systems for modifying a voice model associated with a selected character based on data received from a user.

Abstract: A method and corresponding apparatus for coded-domain acoustic echo control is presented. An echo control problem is considered as that of perceptually matching an echo signal to a reference signal. A perceptual similarity function that is based on the coded spectral parameters produced by the speech codec is defined. Since codecs introduce a significant degree of non-linearity into the echo signal, the similarity function is designed to be robust against such effects. The similarity function is incorporated into a coded-domain echo control system that also includes spectrally-matched noise injection for replacing echo frames with comfort noise. Using actual echoes recorded over a commercial mobile network, it is shown herein that the similarity function is robust against both codec non-linearities and additive noise. Experimental results further show that the echo-control is effective at suppressing echoes compared to a Normalized Least Mean Squared (NLMS)-based echo cancellation system.

Abstract: A method for speech enabling an application can include the step of specifying a speech input within a speech-enabled markup. The speech-enabled markup can also specify an application operation that is to be executed responsive to the detection of the speech input. After the speech input has been defined within the speech-enabled markup, the application can be instantiated. The specified speech input can then be detected and the application operation can be responsively executed in accordance with the specified speech-enabled markup.

Abstract: Disclosed are techniques and systems to provide a narration of a text in multiple different voices where the portions of the text narrated using the different voices are selected by a user. Also disclosed are techniques and systems for associating characters with portions of a sequence of words selected by a user. Different characters having different voice models can be associated with different portions of a sequence of words.

Abstract: Systems, methods, and apparatuses including computer program products are provided for encoding and using a language model. In one implementation, a method is provided. The method includes generating a compact language model, including receiving a collection of n-grams, each n-gram having one or more associated parameter values, determining a fingerprint for each n-gram of the collection of n-grams, identifying locations in an array for each n-gram using a plurality of hash functions, and encoding the one or more parameter values associated with each n-gram in the identified array locations as a function of corresponding array values and the fingerprint for the n-gram.

Abstract: A document corpus is annotated by given annotators and aggregates of the given annotators to generate a corpus of pre-annotated documents with given annotations. The same document corpus is annotated by a subject annotator to have subject annotations. The subject annotations are decomposed into superpositions of the given annotations. The decomposed subject annotations are mapped to a most representative superposition of the given annotations. The subject annotator may be mapped to the aggregate of given annotators corresponding to the most representative compatible superposition, resulting in a meaningful new aggregate annotator.

Abstract: Disclosed are techniques and systems to provide a narration of a text in multiple different voices. Further disclosed are techniques and systems for processing indicia in a document to determine a portion of words and associating a particular a voice model with the portion of words based on the indicia. During a readback process, an audible output corresponding to the words in the portion of words is generated using the voice model associated with the portion of words.

Abstract: A method for facilitating the updating of a language model includes receiving, at a client device, via a microphone, an audio message corresponding to speech of a user; communicating the audio message to a first remote server; receiving, that the client device, a result, transcribed at the first remote server using an automatic speech recognition system (“ASR”), from the audio message; receiving, at the client device from the user, an affirmation of the result; storing, at the client device, the result in association with an identifier corresponding to the audio message; and communicating, to a second remote server, the stored result together with the identifier.

Abstract: Disclosed are techniques and systems to provide a narration of a text in multiple different voices. In some aspects, systems and methods described herein can include receiving a user-based selection of a first portion of words in a document where the document has a pre-associated first voice model and overwriting the association of the first voice model, by the one or more computers, with a second voice model for the first portion of words.

Abstract: Systems and methods for providing multi-language support in a pre-boot environment are supplied. User interface type information, such as keyboard type information and translation tables, are ascertained and provided to the pre-boot environment of the apparatus, allowing the apparatus to properly receive and/or translate multi-language inputs in an appropriate fashion.

Abstract: A computer-implemented method for automatically training diction of a person acquires a speech data stream of the person as the person is speaking, compares the words in the speech data stream to a set of predefined undesirable phrases provided in a look-up table and upon detection of one of the predefined undesirable phrases in the speech data stream, alerting the person by an alarm.

Abstract: An information processing apparatus includes: morphological analysis means for performing morphological analysis on a text document; managing means for managing a connection pattern indicating a connection relationship of a morpheme of a predetermined part of speech; and extracting means extracting, from a string of morphemes obtained by performing morphological analysis by the morphological analysis means, a phrase including a plurality of morphemes having a same connection relationship as the connection relationship indicated by the connection pattern managed by the managing means.

Abstract: An apparatus and method for encoding and decoding using mutual information between a high band signal and a low band signal to increase a coding efficiency in a portable terminal are provided. The apparatus includes a bandwidth extender for extracting auxiliary information relating to a characteristic of a high band signal using the high band signal and a low band signal and an encoder for encoding residual high band signal obtained by subtracting auxiliary information acquired from the low band signal from auxiliary information acquired from the high band signal.

Abstract: A software and/or hardware facility for inferring user context and delivering advertisements, such as coupons, using natural language and/or sentiment analysis is disclosed. The facility may infer context information based on a user's emotional state, attitude, needs, or intent from the user's interaction with or through a mobile device. The facility may then determine whether it is appropriate to deliver an advertisement to the user and select an advertisement for delivery. The facility may also determine an appropriate expiration time and/or discount amount for the advertisement.