Abstract: A noise reduction (NR) system includes a finite impulse response (FIR) filter and a filter manager circuit. The FIR filter is used to perform NR upon a filter input derived from an input signal. The filter manager circuit is used to determine a configuration of a minimum phase filter according to the input signal, and update the FIR filter by the configuration of the minimum phase filter.

Abstract: A voice trigger method for an electronic apparatus is provided. The voice trigger method includes the following steps. Receive a current voice signal. Extract a current voice feature from the current voice signal. Determine whether a previous voice feature of a previous voice signal is stored. When the previous voice feature is stored, at least one of adjusting a confidence threshold and determining whether to wake up the electronic apparatus is performed according to whether the previous voice feature is corresponding to a false acceptance situation or a false rejection situation and the similarity between the current voice feature and the previous voice feature.

Abstract: A voice trigger method for an electronic apparatus is provided. The voice trigger method includes the following steps. Receive a current voice signal. Extract a current voice feature from the current voice signal. Determine whether a previous voice feature of a previous voice signal is stored. When the previous voice feature is stored, at least one of adjusting a confidence threshold and determining whether to wake up the electronic apparatus is performed according to whether the previous voice feature is corresponding to a false acceptance situation or a false rejection situation and the similarity between the current voice feature and the previous voice feature.

Abstract: An acoustic signal enhancement method is disclosed. The acoustic signal enhancement method comprises the steps of applying a spectral transformation on a frame derived from an input acoustic signal to generate a spectral representation of the frame, estimating an a posteriori SNR and an a priori SNR of the frame, determining an a priori SNR limit for the frame, limiting the a priori SNR with the a priori SNR limit to generate a final a priori SNR for the frame, determining a spectral gain for the frame according to the a posteriori SNR and the final a priori SNR, and applying the spectral gain on the spectral representation of the frame so as to generate an enhanced spectral representation of the frame. One of the characteristics of the acoustic signal enhancement method is that the a priori SNR limit is a function of frequency.

Abstract: A configurable distributed speech recognition system comprises a configurable distributed speech recognition protocol, and a configurable distributed speech recognition server. Herein, the configurable distributed speech recognition protocol is used to establish data transmitting format, for a client speech mobile device to packet the speech data and configuration data become a message packet. The configurable distributed speech recognition system receives the message packet from the client speech mobile device, configures its own speech recognition modules and resources according to the configuration data, and then returns a result to the client speech mobile device after completing the speech recognition.

Abstract: A configurable distributed speech recognition system comprises a configurable distributed speech recognition protocol, and a configurable distributed speech recognition server. Herein, the configurable distributed speech recognition protocol is used to establish data transmitting format, for a client speech mobile device to packet the speech data and configuration data become a message packet. The configurable distributed speech recognition system receives the message packet from the client speech mobile device, configures its own speech recognition modules and resources according to the configuration data, and then returns a result to the client speech mobile device after completing the speech recognition.