Abstract: A non-transitory computer-readable storage medium storing a program that causes a processor included in a spoken language understanding apparatus to execute a process, the process includes executed by a first apparatus that is a computer, executing a first slot filling process for a first slot that corresponds to a first application and a second slot that corresponds to a second application based on a result of first speech recognition executed by the first apparatus for a speech signal, executing determination as to whether a result of a second slot filling process executed for the second slot based on second speech recognition executed for the speech signal by a second apparatus coupled to the first apparatus by a network is employed, based on a result of the first slot filling process, and executing the first application or the second application based on a result of the determination.

Abstract: A quality level analysis unit 504 specifies a coding method, communication line conditions, and a quality level, such as an S/N ratio and the like, of voices of an input channel, received by a corresponding receiving unit 501. A channel allocation/mixing unit 502 controls the allocation or mixing of voices of respective input channels to or into respective output channels 503 (output units 505) on the basis of the results of analysis by the quality level analysis unit 504. Consequently, loud speakers from which poor quality voices and good quality voices are output can be separated from one another, thus improving the total intelligibility of received voices.

Abstract: A quality level analysis unit 504 specifies a coding method, communication line conditions, and a quality level, such as an S/N ratio and the like, of voices of an input channel, received by a corresponding receiving unit 501. A channel allocation/mixing unit 502 controls the allocation or mixing of voices of respective input channels to or into respective output channels 503 (output units 505) on the basis of the results of analysis by the quality level analysis unit 504. Consequently, loud speakers from which poor quality voices and good quality voices are output can be separated from one another, thus improving the total intelligibility of received voices.

Abstract: A number-of-recognition candidates determining system in a speech recognition device comprises an SN ratio calculator for calculating an SN ratio of an inputted speech to the environmental noise, and a number-of-recognition candidates controller for controlling the number of the recognition candidates according to the value of the SN ratio calculated by the SN ratio calculator. The number of recognition candidates varies according to the value of the SN ratio.

Abstract: A speech recognition method and apparatus enable the use of the same recognition software for speaker dependent recognition under various running environments such as different computers. The speech recognition method operates in the form of computer software to detect at least one running environment of hardware. The hardware running environment may include processing speed of a computer. Recognition parameters are then determined which correspond to the detected running environment. Next, the speech recognition method converts an input analog speech signal into a digital speech signal. The digital speech signal, in the form of extracted feature data, is then compared with digital feature data in a dictionary. The speech is then recognized in response to a match of the data.