Abstract: The present invention provides a method for OSA (Obstructive Sleep Apnea) severity classification by using recording-based Peripheral Oxygen Saturation Signal. The major feature of the present invention emphasizes on using a recording-based Peripheral Oxygen Saturation Signal (SpO2 signal) as an input, which is different from the deep learning-based prior art of using segment-based signals as an input to a model, and the segment-based signals has only two classification results, i.e. normal or apnea.

Abstract: The present invention provides a method for OSA (Obstructive Sleep Apnea) severity detection using recording-based electrocardiography (ECG) Signal. The major feature of the present invention emphasizes on using a recording-based ECG Signal as an input, which is different from the deep learning-based prior art of using segment-based signals as an input to a model, and the segment-based signals has only two classification results, i.e. normal or apnea. The present invention provides a method for a model to detect and output directly a value of apnea-hypopnea index (AHI) for the OSA Severity.

Abstract: The present invention provides a caption service system for remote speech recognition, which provides caption service for the hearing impaired. This system includes a speaker and a live broadcast equipment at A, a listener-typist and a computer at B, a hearing impaired and a live screen at C, and an automatic speech recognition (ASR) caption server at D. Connect the live broadcast equipment, the computer, the live screen and the ASR caption server with a network. The speaker's audio is sent to the automatic speech recognition (ASR) caption server to be converted into text, which is corrected by the listener-typist, and then the text caption is sent to the live screen of the hearing impaired together with the speaker's video and audio, so that the hearing impaired can see the text caption spoken by the speaker.

Abstract: The present invention provides a speech recognition system for teaching assistance, which provides caption service for the hearing impaired. This system includes a speaker and a automatic speech recognition (ASR) classroom server, a listener-typist and a computer, a hearing impaired and a live screen, all are in the same classroom. Connect the ASR classroom server, the computer and the live screen with a local area network. The speaker's audio is sent to the ASR classroom server by a microphone for being converted into text caption, and then the text caption is sent to the live screen of the hearing impaired together with the speaker's audio so that the hearing impaired can read the text caption spoken by the speaker. The text caption can be corrected by the listener-typist to make it completely correct.

Abstract: The present invention provides a caption service system for remote speech recognition, which provides caption service for the hearing impaired. This system includes a speaker and a live broadcast equipment at A, a listener-typist and a computer at B, a hearing impaired and a live screen at C, and an automatic speech recognition (ASR) caption server at D. Connect the live broadcast equipment, the computer, the live screen and the ASR caption server with a network. The speaker's audio is sent to the automatic speech recognition (ASR) caption server to be converted into text, which is corrected by the listener-typist, and then the text caption is sent to the live screen of the hearing impaired together with the speaker's video and audio, so that the hearing impaired can see the text caption spoken by the speaker.

Abstract: The present invention provides a method for updating speech recognition system through air. Client ASR servers connect with a central ASR cloud server through Internet. New version of ASR system is stored in the central ASR cloud server for being selected and downloaded by the client ASR servers for using.

Abstract: The present invention provides a system for selecting a special speech recognition model through a general model of an AI speech recognition system for users to select an appropriate model. In addition to the AI speech recognition server of a general model, the present invention additionally prepares speech models in various fields, such as sports event model, financial news model, and game live model. Different users can choose different speech models according to their needs or fields, and they can get better services respectively. If the different users have no special choice, the AI speech recognition server of the general model provides speech recognition services for the different users.

Abstract: The present invention provides a method for generating caption file through URL of an AV platform. By using various websites (such as YouTube, Instagram, Facebook, Twitter) for being inputted with the URL of a desired AV Platform and downloading a required AV file and inputting to an ASR (Automatic Speech Recognition) server according to the present invention. A speech recognition system in the ASR server can abstract an audio file from the AV file for a system operation to get a required caption file. Artificial Neural Networks are used in the present invention.

Abstract: A Chinese speech recognition system and method is disclosed. Firstly, a speech signal is received and recognized to output a word lattice. Next, the word lattice is received, and word arcs of the word lattice are rescored and reranked with a prosodic break model, a prosodic state model, a syllable prosodic-acoustic model, a syllable-juncture prosodic-acoustic model and a factored language model, so as to output a language tag, a prosodic tag and a phonetic segmentation tag, which correspond to the speech signal. The present invention performs rescoring in a two-stage way to promote the recognition rate of basic speech information and labels the language tag, prosodic tag and phonetic segmentation tag to provide the prosodic structure and language information for the rear-stage voice conversion and voice synthesis.

Abstract: A Chinese speech recognition system and method is disclosed. Firstly, a speech signal is received and recognized to output a word lattice. Next, the word lattice is received, and word arcs of the word lattice are rescored and reranked with a prosodic break model, a prosodic state model, a syllable prosodic-acoustic model, a syllable-juncture prosodic-acoustic model and a factored language model, so as to output a language tag, a prosodic tag and a phonetic segmentation tag, which correspond to the speech signal. The present invention performs rescoring in a two-stage way to promote the recognition rate of basic speech information and labels the language tag, prosodic tag and phonetic segmentation tag to provide the prosodic structure and language information for the rear-stage voice conversion and voice synthesis.

Abstract: A demand forecast system and method. A planning module normalizes historical forecast data, and generates a forecast error interval according to the historical forecast data and a Grey forecast model. An adjustment module adjusts a target forecast value of a target-planning bucket according to the forecast error interval and/or the distance between the forecast error interval and a benchmark.

Abstract: A modifying method for a speech model and a modifying module thereof are provided. The modifying method is as follows. First, a correct sequence of a speech is generated according to a correct sequence generating method and the speech model. Next, a candidate sequence generating method is selected from a plurality of candidate sequence generating methods, and a candidate sequence of the speech is generated according to the selected candidate sequence generating method and the speech model. Finally, the speech model is modified according to the correct sequence and the candidate sequence. Therefore, the present invention increases a discrimination of the speech model.

Abstract: A system and method for detecting the recognizability of input speech signal is provided. It is designed in the pre-stage of speech recognition or a dialog system. The invention detects the user's environmental condition and verifies if the input speech signal can be recognized. It mainly comprises an environment parameter generator, a signal recognition verifier, and a strategy response processor. Through the use of the invention in the pre-stage of speech recognition or a dialog system, it can precisely verify the recognizability of the input speech signal and receives the input speech signals of high recognition probability in a noisy environment. This reduces the impact caused by receiving the input speech signals of low recognition probability. This invention thus increases the recognition probability for a recognizer.

Abstract: A modifying method for a speech model and a modifying module thereof are provided. The modifying method is as follows. First, a correct sequence of a speech is generated according to a correct sequence generating method and the speech model. Next, a candidate sequence generating method is selected from a plurality of candidate sequence generating methods, and a candidate sequence of the speech is generated according to the selected candidate sequence generating method and the speech model. Finally, the speech model is modified according to the correct sequence and the candidate sequence. Therefore, the present invention increases a discrimination of the speech model.

Abstract: A system and method for detecting the recognizability of input speech signal is provided. It is designed in the pre-stage of speech recognition or a dialog system. The invention detects the user's environmental condition and verifies if the input speech signal can be recognized. It mainly comprises an environment parameter generator, a signal recognition verifier, and a strategy response processor. Through the use of the invention in the pre-stage of speech recognition or a dialog system, it can precisely verify the recognizability of the input speech signal and receives the input speech signals of high recognition probability in a noisy environment. This reduces the impact caused by the receiving the input speech signals of low recognition probability. This invention thus increases the recognition probability for a recognizer.

Abstract: A demand forecast system and method. A planning module normalizes historical forecast data, and generates a forecast error interval according to the historical forecast data and a Grey forecast model. An adjustment module adjusts a target forecast value of a target-planning bucket according to the forecast error interval and/or the distance between the forecast error interval and a benchmark.

Abstract: A method and an electronic device (preferably a Personal Digital Assistant, PDA or a palm computer) for providing information about a physical person, comprising: a microphone for recording audio data and/or a camera for recording image data of the physical person. A processor with a memory for processing the audio and/or visual data to recognize the identity of the physical person and retrieving the stored information about the recognized identity is provided. A user interface is used to deliver the stored information to a user. The information may comprise business card information and/or other information about the person. Moreover, information representative of the person's emotional/personal status/mood may be recorded, retrieved, and provided to the user via the user interface.

Abstract: A method and an electronic device (preferably a Personal Digital Assistant, PDA or a palm computer) for providing information about a physical person, comprising: a microphone for recording audio data and/or a camera for recording image data of the physical person. A processor with a memory for processing the audio and/or visual data to recognize the identity of the physical person and retrieving the stored information about the recognized identity is provided. A user interface is used to deliver the stored information to a user. The information may comprise business card information and/or other information about the person. Moreover, information representative of the person's emotional/personal status/mood may be recorded, retrieved, and provided to the user via the user interface.