Abstract: In a spoken word generation system for speech recognition, at least one input device receives a plurality of input signals at least including at least one sound signal; a mode detection module detects the plurality of input signals; when a specific sound event is detected in the at least one sound signal or at least one control signal is included in the plurality of input signals, a speech training mode is outputted; when no specific sound event is detected in the at least one sound signal and no control signal is included in the plurality of input signals, a speech recognition mode is outputted; a speech training module receives the speech training mode and performs a training process on the audio segment and outputs a training result; and a speech recognition module receives the speech recognition mode, and performs a speech recognition process and outputs a recognition result.

Abstract: A light-emitting device includes a substrate and a first light-emitting unit. The first light-emitting unit is disposed on the substrate, and includes a first semiconductor layer, a first light-emitting layer, and a second semiconductor layer. The first semiconductor layer is disposed on the substrate. The first light-emitting layer is disposed between the first semiconductor layer and the second semiconductor layer. The second semiconductor layer is disposed on the first light-emitting layer. The first semiconductor layer has a first sidewall and a second sidewall. A first angle is between the substrate and the first sidewall. A second angle is between the substrate and the second sidewall. The first angle is smaller than the second angle.

Abstract: The disclosure relates to a high-voltage light-emitting diode (HV LED) and a manufacturing method thereof. A plurality of LED dies connected in series, in parallel, or in series and parallel are formed on a substrate. A side surface of the first semiconductor layer of part of the LED dies is aligned with a side surface of the substrate, such that no space for exposing the substrate is reserved between the LED dies and the edges of the substrate, the ratio of the substrate being covered by the LED dies is increased, that is, light-emitting area per unit area is increased, and the efficiency of light extraction of HV LED is improved.

Abstract: In a spoken word generation system for speech recognition, at least one input device receives a plurality of input signals at least including at least one sound signal; a mode detection module detects the plurality of input signals; when a specific sound event is detected in the at least one sound signal or at least one control signal is included in the plurality of input signals, a speech training mode is outputted; when no specific sound event is detected in the at least one sound signal and no control signal is included in the plurality of input signals, a speech recognition mode is outputted; a speech training module receives the speech training mode and performs a training process on the audio segment and outputs a training result; and a speech recognition module receives the speech recognition mode, and performs a speech recognition process and outputs a recognition result.

Abstract: A recognition network generation device, disposed in an electronic device, comprising: an operation record storage device storing a plurality of operation records of the electronic device, wherein each of the operation records includes operation content executed by the electronic device and device peripheral information detected by the electronic device when the electronic device executes the operation content; an activity model constructor classifying the operation records into a plurality of activity models according to all the device peripheral information of the operation records; an activity predictor selecting at least one selected activity model according to the degree of similarity between each of the activity models and a current device peripheral information detected by the electronic device; and a weight adjustor adjusting the weights of a plurality of recognition vocabularies, wherein the recognition vocabularies correspond to all the operation content of the at least one selected activity model.

Abstract: This disclosure relates to a method of recovering and concentrating an aqueous N-methylmorpholine-N-oxide (NMMO) solution.

Abstract: A multi-lingual text-to-speech system and method processes a text to be synthesized via an acoustic-prosodic model selection module and an acoustic-prosodic model mergence module, and obtains a phonetic unit transformation table. In an online phase, the acoustic-prosodic model selection module, according to the text and a phonetic unit transcription corresponding to the text, uses at least a set controllable accent weighting parameter to select a transformation combination and find a second and a first acoustic-prosodic models. The acoustic-prosodic model mergence module merges the two acoustic-prosodic models into a merged acoustic-prosodic model, according to the at least a controllable accent weighting parameter, processes all transformations in the transformation combination and generates a merged acoustic-prosodic model sequence. A speech synthesizer and the merged acoustic-prosodic model sequence are further applied to synthesize the text into an L1-accent L2 speech.

Abstract: According to an exemplary embodiment of a guided speaker adaptive speech synthesis system, a speaker adaptive training module generates adaptation information and a speaker-adapted model based on inputted recording text and recording speech. A text to speech engine receives the recording text and the speaker-adapted model and outputs synthesized speech information. A performance assessment module receives the adaptation information and the synthesized speech information to generate assessment information. An adaptation recommendation module selects at least one subsequent recording text from at least one text source as a recommendation of a next adaption process, according to the adaptation information and the assessment information.

Abstract: In one embodiment of a controllable prosody re-estimation system, a TTS/STS engine consists of a prosody prediction/estimation module, a prosody re-estimation module and a speech synthesis module. The prosody prediction/estimation module generates predicted or estimated prosody information. And then the prosody re-estimation module re-estimates the predicted or estimated prosody information and produces new prosody information, according to a set of controllable parameters provided by a controllable prosody parameter interface. The new prosody information is provided to the speech synthesis module to produce a synthesized speech.

Abstract: A system for leaving and transmitting speech messages automatically analyzes input speech of at least a reminder, fetches a plurality of tag informations, and transmits speech message to at least a message receiver, according to the transmit criterions of the reminder. A command or message parser parses the tag informations at least including at least a reminder ID, at least a transmitted command and at least a speech message. The tag informations are sent to a message composer for being synthesized into a transmitted message. A transmitting controller controls a device switch according to the reminder ID and the transmitted command, to allow the transmitted message send to the message receiver via a transmitting device.

Abstract: This disclosure relates to a method of recovering and concentrating an aqueous N-methylmorpholine-N-oxide (NMMO) solution.

Abstract: A telematics apparatus for providing driving assistance, and a system and a method are provided. The telematics apparatus receives position information indicating a current position of the telematics apparatus. The telematics apparatus transmits a request signal to the server. According to the request signal, the server obtains the position information, time information indicating a current time of the telematics apparatus, and identification information identifying a user of the telematics apparatus. The telematics apparatus displays driving assistance information received from the server which generates the driving assistance information according to the identification information, the position information, and the time information by searching through a route usage history of a plurality of routes and referring to a plurality of reference values of the routes. The reference value of each route indicates the telematics apparatus user's familiarity with that route.

Abstract: A multi-lingual text-to-speech system and method processes a text to be synthesized via an acoustic-prosodic model selection module and an acoustic-prosodic model mergence module, and obtains a phonetic unit transformation table. In an online phase, the acoustic-prosodic model selection module, according to the text and a phonetic unit transcription corresponding to the text, uses at least a set controllable accent weighting parameter to select a transformation combination and find a second and a first acoustic-prosodic models. The acoustic-prosodic model mergence module merges the two acoustic-prosodic models into a merged acoustic-prosodic model, according to the at least a controllable accent weighting parameter, processes all transformations in the transformation combination and generates a merged acoustic-prosodic model sequence. A speech synthesizer and the merged acoustic-prosodic model sequence are further applied to synthesize the text into an L1-accent L2 speech.

Abstract: In one embodiment of a controllable prosody re-estimation system, a TTS/STS engine consists of a prosody prediction/estimation module, a prosody re-estimation module and a speech synthesis module. The prosody prediction/estimation module generates predicted or estimated prosody information. And then the prosody re-estimation module re-estimates the predicted or estimated prosody information and produces new prosody information, according to a set of controllable parameters provided by a controllable prosody parameter interface. The new prosody information is provided to the speech synthesis module to produce a synthesized speech.

Abstract: A method of text script generation for a corpus-based text-to-speech system includes searching in a source corpus having L sentences, selecting N sentences with a best integrated efficiency as N best cases, and setting iteration k to be 1; for each case n of the N best cases, selecting Mk+1 best sentences with the best integrated efficiency from the unselected sentences in the source corpus; keeping N best cases out of the total unselected sentences for next iteration, and increasing iteration k by 1; and if a termination criterion being reached, setting the best case in the N traced cases as the text script, otherwise, returning to the (k+1)th iteration of searching in the unselected sentences for (k+1)th sentence; wherein the best integrated efficiency depends on a function of combining the covering rate of the synthesis unit type, the hit rate of the synthesis unit type, and the text script size.

Abstract: A speech synthesizer generating system and a method thereof are provided. A speech synthesizer generator in the speech synthesizer generating system automatically generates a speech synthesizer conforming to a speech output specification input by a user. In addition, a recording script is automatically generated by a recording script generator in the speech synthesizer generating system according to the speech output specification, and a customized or expanded speech material is recorded according to the recording script. After the speech material is uploaded to the speech synthesizer generating system, the speech synthesizer generator automatically generates a speech synthesizer conforming to the speech output specification. The speech synthesizer then synthesizes and outputs a speech output at a user end.

Abstract: A method and a system for executing correlative services are provided. In the method and the system, an event type corresponding to an input message is determined through semantic analysis. After collecting the necessary execution information of the event type according to the input message, a user database, or by inquiring the user or another system, the system automatically executes various correlative services of the event type. Therefore, the system can help users to execute correlative services more correctly and more efficiently.

Abstract: A method and system for pronunciation assessment based on distinctive feature analysis is provided. It evaluates a user's pronunciation by one or more distinctive feature (DF) assessor. It may further construct a phone assessor with DF assessors to evaluate a user's phone pronunciation, and even construct a continuous speech pronunciation assessor with phone assessor to get the final pronunciation score for a word or a sentence. Each DF assessor further includes a feature extractor and a distinctive feature classifier, and can be realized differently. This is based on the different characteristic of the distinctive feature. A score mapper may be included to standardize the output for each DF assessor. Each speech phone can be described as a “bundle” of DFs. The invention is a novel and qualitative solution based on the DF of speech sounds for pronunciation assessment.

Abstract: A system for leaving and transmitting speech messages automatically analyzes input speech of at least a reminder, fetches a plurality of tag informations, and transmits speech message to at least a message receiver, according to the transmit criterions of the reminder. A command or message parser parses the tag informations at least including at least a reminder ID, at least a transmitted command and at least a speech message. The tag informations are sent to a message composer for being synthesized into a transmitted message. A transmitting controller controls a device switch according to the reminder ID and the transmitted command, to allow the transmitted message send to the message receiver via a transmitting device.

Abstract: A method for speech quality degradation estimation, a method for degradation measures calculation, and the apparatuses thereof are provided. The first method above estimates the speech quality of a speech signal that is modified by a pitch-synchronous prosody modification method, which comprises the following steps. First, extract at least one source pitchmark from the speech signal, and then maps the source pitchmark(s) to at least one target pitchmark(s). Finally, calculate at least one degradation measure based on the mapping between the source and the target pitchmarks. The degradation measures include several weighted pitch-related functions and duration-related functions, where the weighting functions can be calculated based on the speech signal or the pitchmark(s) mapping mentioned above.