Abstract: A product pushing method and a product promotion system are provided. The method includes the following steps: recording an area as the user's current position when the time period of the user staying in the area is longer than a first threshold; obtaining at least one current product corresponding to the current position from a regional product database; obtaining at least one recorded product corresponding to at least one recorded position from the regional product database; obtaining at least one promotion portfolio from the product portfolio database according to the current product and the at least one record product; and sending the at least one promotion portfolio to the user.

Abstract: A product pushing method and a product promotion system are provided. The method includes the following steps: recording an area as the user's current position when the time period of the user staying in the area is longer than a first threshold; obtaining at least one current product corresponding to the current position from a regional product database; obtaining at least one recorded product corresponding to at least one recorded position from the regional product database; obtaining at least one promotion portfolio from the product portfolio database according to the current product and the at least one record product; and sending the at least one promotion portfolio to the user.

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: The present invention relates to a speech interactive system and method. The system comprises a target information receiving module, an interactive mode setting and speech processing module, an interactive information update module, a decision module, and an output response module. It receives target information and sets corresponding target text sentence information. It also receives a user's speech signal, sets an interactive mode, decides the speech's target text sentence information, and generates an assessment for the target text sentence. Under the set interactive mode, the system updates the information in an interactive information recording table according to the assessment and a timing count. According to the interactive mode and the recorded information, an output mode for the target text sentence information is generated. According to the output mode and the recorded information, the response information is generated.

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: 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: The present invention relates to a speech interactive system and method. The system comprises a target information receiving module, an interactive mode setting and speech processing module, an interactive information update module, a decision module, and an output response module. It receives target information and sets corresponding target text sentence information. It also receives a user's speech signal, sets an interactive mode, decides the speech's target text sentence information, and generates an assessment for the target text sentence. Under the set interactive mode, the system updates the information in an interactive information recording table according to the assessment and a timing count. According to the interactive mode and the recorded information, an output mode for the target text sentence information is generated. According to the output mode and the recorded information, the response information is generated.

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 speech recognition system is used to receive a speech signal and output an output language word with respect to the speech signal. The speech recognition system has preset quantities for a first threshold, a second threshold, and a third threshold. The speech recognition system includes a first speech recognition device that is used to receive the speech signal and generate a first candidate language word and a first confidence measurement of the first candidate language word, according to the speech signal. A second speech recognition device is used to receive the speech signal and generate a second candidate language word and a second confidence measurement of the second candidate language word, according to the speech signal. A confidence measurement judging unit is used to output the language word, by comparing the first confidence measurement and the second confidence measurement to the above thresholds.

Abstract: A speech recognition system is used to receive a speech signal and output an output language word with respect to the speech signal. The speech recognition system has preset quantities for a first threshold, a second threshold, and a third threshold. The speech recognition system comprises a first speech recognition device that is used to receive the speech signal and generate a first candidate language word and a first confidence measurement of the first candidate language word, according to the speech signal. A second speech recognition device is used to receive the speech signal and generate a second candidate language word and a second confidence measurement of the second candidate language word, according the speech signal.