Abstract: An information communication terminal includes the followings. An input receiving unit receives an input from a user. A communication unit obtains presentation information corresponding to an input by the user from a server according to a dialog scenario, every time the input is received. A dialog processing unit presents the user with the presentation information obtained by the communication unit. A communication state determination unit determines a communication state between the communication unit and the server. When the communication state determination unit makes a first determination that the communication is deteriorated during a dialog, the dialog processing unit causes the communication unit to obtain, as candidate presentation information, at least one presentation information with a possibility of being presented to the user after the first determination according to the dialog scenario.

Abstract: In one implementation, a computer-implemented method includes receiving, at a mobile computing device, ambiguous user input that indicates more than one of a plurality of commands; and determining a current context associated with the mobile computing device that indicates where the mobile computing device is currently located. The method can further include disambiguating the ambiguous user input by selecting a command from the plurality of commands based on the current context associated with the mobile computing device; and causing output associated with performance of the selected command to be provided by the mobile computing device.

Abstract: Methods, systems, and products for testing a grammar used in speech recognition for reliability in a plurality of operating environments having different background noise that include: receiving recorded background noise for each of the plurality of operating environments; generating a test speech utterance for recognition by a speech recognition engine using a grammar; mixing the test speech utterance with each recorded background noise, resulting in a plurality of mixed test speech utterances, each mixed test speech utterance having different background noise; performing, for each of the mixed test speech utterances, speech recognition using the grammar and the mixed test speech utterance, resulting in speech recognition results for each of the mixed test speech utterances; and evaluating, for each recorded background noise, speech recognition reliability of the grammar in dependence upon the speech recognition results for the mixed test speech utterance having that recorded background noise.

Abstract: Method for measuring level of speech determined by an audio signal in a manner which corrects for and reduces the effect of modification of the signal by the addition of noise thereto and/or amplitude compression thereof, and a system configured to perform any embodiment of the method. In some embodiments, the method includes steps of generating frequency banded, frequency-domain data indicative of an input speech signal, determining from the data a Gaussian parametric spectral model of the speech signal, and determining from the parametric spectral model an estimated mean speech level and a standard deviation value for each frequency band of the data; and generating speech level data indicative of a bias corrected mean speech level for each frequency band, including using at least one correction value to correct the estimated mean speech level for the frequency band, where each correction value has been predetermined using a reference speech model.

Abstract: A method, a system and a machine-readable medium are provided for an on demand translation service. A translation module including at least one language pair module for translating a source language to a target language may be made available for use by a subscriber. The subscriber may be charged a fee for use of the requested on demand translation service or may be provided use of the on demand translation service for free in exchange for displaying commercial messages to the subscriber. A video signal may be received including information in the source language, which may be obtained as text from the video signal and may be translated from the source language to the target language by use of the translation module. Translated information, based on the translated text, may be added into the received video signal.

Abstract: A method is provided for determining an indicator evaluating the voice quality of a coded speech signal. The method includes the following steps: calculation per signal frame, of a predetermined number of coefficients of a linear prediction filter for the coded speech signal; determination per frame, of a speech signal reconstructed on the basis of the filter coefficients thus calculated; obtaining per sample, of the residual between the coded speech signal and the reconstructed speech signal; calculation of an evaluation indicator on the basis of the mean or the absolute value of the residuals obtained for all the samples. Also provided are a device for determining an indicator implementing the above method, a method of evaluating the quality or of identifying the class of coding of the coded signal using the indicator determined, as well as a measurement terminal implementing these methods.

Abstract: Methods and apparatus for unsupervised wakeup of a device including receiving a first acoustic event at a first time and a second acoustic event at a second time, wherein the first and second acoustic events have scores above a first threshold identifying the first and second acoustic events as wakeup candidates for a wakeup phrase for an unsupervised wakeup of a device. It can be determined that the first acoustic event score is below a second threshold, which is higher than the first threshold and whether a difference between the first and second times is within a range to check for correlation in time between the first and second acoustic events. Occurrence of a wakeup event can be determined based upon the first and second times.

Abstract: Methods and apparatus related to sentence compression. Some implementations are generally directed toward generating a corpus of extractive compressions and associated sentences based on a set of headline, sentence pairs from documents. Some implementations are generally directed toward utilizing a corpus of sentences and associated sentence compressions in training a supervised compression system. Some implementations are generally directed toward determining a compression of a sentence based on edge weights for edges of the sentence that are determined based on weights of features associated with the edges.

Abstract: Methods and apparatus for unsupervised wakeup of a device including receiving a first acoustic event at a first time and a second acoustic event at a second time, wherein scores of the first and second acoustic events are above a first threshold identifying the first and second acoustic events as wakeup candidates for a wakeup phrase for an unsupervised wakeup of a device. It is determined that the first acoustic event is above a second threshold, which is higher than the first threshold, and that the second acoustic event is above a third threshold, which is higher than the first threshold. Occurrence of a wakeup event can be determined based upon acoustic similarity of the events.

Abstract: 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.

Abstract: Disclosed herein are systems, computer-implemented methods, and tangible computer-readable media for handling missing speech data. The computer-implemented method includes receiving speech with a missing segment, generating a plurality of hypotheses for the missing segment, identifying a best hypothesis for the missing segment, and recognizing the received speech by inserting the identified best hypothesis for the missing segment. In another method embodiment, the final step is replaced with synthesizing the received speech by inserting the identified best hypothesis for the missing segment. In one aspect, the method further includes identifying a duration for the missing segment and generating the plurality of hypotheses of the identified duration for the missing segment. The step of identifying the best hypothesis for the missing segment can be based on speech context, a pronouncing lexicon, and/or a language model. Each hypothesis can have an identical acoustic score.

Abstract: A system and method for recognizing speech on board an aircraft that compensates for different regional dialects over an area comprised of at least first and second distinct geographical regions, comprises analyzing speech in the first distinct geographical region using speech data characteristics representative of speech in the first distinct geographical region, detecting a change in position from the first distinct geographical region to the second geographical region, and analyzing speech in the second distinct geographical region using speech data characteristics representative of speech in the second distinct geographical region upon detecting that the aircraft has transitioned from the first distinct geographical region to the second distinct geographical region.

Abstract: A method and a system for translating sections of one or more applications are disclosed. The method includes capturing and storing text phrases of the sections. The method further includes capturing and storing of screen shot images of the sections. The captured text phrases and the screen shot images are then combined to provide a context-based translation of the sections.

Abstract: A method and apparatus derive a dynamic grammar composed of a subset of a plurality of data elements that are each associated with one of a plurality of reference identifiers. The present invention generates a set of selection identifiers on the basis of a user-provided first input identifier and determines which of these selection identifiers are present in a set of pre-stored reference identifiers. The present invention creates a dynamic grammar that includes those data elements that are associated with those reference identifiers that are matched to any of the selection identifiers. Based on a user-provided second identifier and on the data elements of the dynamic grammar, the present invention selects one of the reference identifiers in the dynamic grammar.

Abstract: In an audio decoding device of an embodiment, a plurality of decoding units execute different audio decoding schemes, respectively, to generate audio signals from coded sequences. An extraction unit extracts long-term encoding scheme information from a stream. The stream has a plurality of frames each including a coded sequence of an audio signal. The long-term encoding scheme information is a unit information for multiple frames and indicates that a common audio encoding scheme was used to generate coded sequences of the multiple frames. According to the extracted long-term encoding scheme information, a selection unit selects, from the plurality of decoding units, a decoding unit to be used commonly to decode the coded sequences of the multiple frames.

Abstract: Speech recognition systems may perform the following operations: receiving audio at a computing device; identifying a language associated with the audio; recognizing the audio using recognition models for different versions of the language to produce recognition candidates for the audio, where the recognition candidates are associated with corresponding information; comparing the information of the recognition candidates to identify agreement between at least two of the recognition models; selecting a recognition candidate based on information of the recognition candidate and agreement between the at least two of the recognition models; and outputting data corresponding to the selected recognition candidate as a recognized version of the audio.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for designating certain voice commands as hotwords. The methods, systems, and apparatus include actions of receiving a hotword followed by a voice command. Additional actions include determining that the voice command satisfies one or more predetermined criteria associated with designating the voice command as a hotword, where a voice command that is designated as a hotword is treated as a voice input regardless of whether the voice command is preceded by another hotword. Further actions include, in response to determining that the voice command satisfies one or more predetermined criteria associated with designating the voice command as a hotword, designating the voice command as a hotword.

Abstract: Various techniques are disclosed for improving packet loss concealment to reduce artifacts by using audio character measures of the audio signal. These techniques include attenuation to a noise fill instead of attenuation to silence, varying how long to wait before attenuating the extrapolation, varying the rate of attenuation of the extrapolation, attenuating periodic extrapolation at a different rate than non-periodic extrapolation, and performing period extrapolation on successively longer fill data based on the audio character measures, adjusting weighting between periodic and non-periodic extrapolation based on the audio character measures, and adjusting weighting between periodic extrapolation and non-periodic extrapolation non-linearly.

Abstract: An electronic device includes a processor configured to execute: accepting a character input; causing a display module to display a character or a character string, which has been input by the character input; causing the display module to display a plurality of words which are conversion candidates corresponding to the input character or character string; causing the display module to display, responding to designation by a user of a word of the plurality of words which are conversion candidates, at least one synonym corresponding to the designated word; and causing the display module to display, responding to selection by the user of a synonym of the displayed at least one synonym, the selected synonym in place of the input character or character string.

Abstract: An audio frame timing correction method and a wireless device are provided. A controller generates a reference clock for audio coding/decoding such that the reference clock runs fast and moved forward within an audio data sampling interval with the remaining time becoming a margin of the interval. An audio codec decodes demodulated data based on the reference clock, and codes an audio signal based on the reference clock. A demodulator detects wireless frame deviation and determines an adjustment timing whereat the wireless frame symbol timing and the audio frame timing are corrected based on the deviation and the margin. Upon the adjustment timing, the controller synchronizes audio sampling timing with the wireless frame symbol timing.