Abstract: An acoustic environment aware method for selecting a high quality audio stream during multi-stream speech recognition. A number of input audio streams are processed to determine if a voice trigger is detected, and if so a voice trigger score is calculated for each stream. An acoustic environment measurement is also calculated for each audio stream. The trigger score and acoustic environment measurement are combined for each audio stream, to select as a preferred audio stream the audio stream with the highest combined score. The preferred audio stream is output to an automatic speech recognizer. Other aspects are also described and claimed.

Abstract: A method for verifying at least one sound sample to be used in generating a sound detection model in an electronic device includes receiving a first sound sample; extracting a first acoustic feature from the first sound sample; receiving a second sound sample; extracting a second acoustic feature from the second sound sample; and determining whether the second acoustic feature is similar to the first acoustic feature.

Abstract: Some of the embodiments of the present disclosure provide a device comprising: a first channel configured to receive a signal, wherein the signal comprises (i) a target signal and (ii) a background signal; a second channel configured to receive the signal a time t after the first channel receives the signal; a delay control circuit configured to iteratively determine a fractional delay to maximize a correlation coefficient between the signal on the first channel and the signal on the second channel; and an adaptive fractional delay filter in the first channel configured to adaptively align, in the digital domain, the signal on the first channel with the signal on the second channel based, at least in part, on the fractional delay.

Abstract: A method for verifying at least one sound sample to be used in generating a sound detection model in an electronic device includes receiving a first sound sample; extracting a first acoustic feature from the first sound sample; receiving a second sound sample; extracting a second acoustic feature from the second sound sample; and determining whether the second acoustic feature is similar to the first acoustic feature.

Abstract: A lagomorph derived monoclonal antibody for recognizing the progesterone receptor (PR) (clone SP2) with immunohistochemistry and methods for creating such an antibody are disclosed. No need of target retrieval in immunohistochemistry is their prominent advantage compared to currently available PR antibody. Furthermore, the very low background when the lagomorph derived monoclonal antibody is used in immunohistochemistry is also impressive. The immunohistochemistry comparative study with about fifty clinical specimens showed that the new PR antibody (clone SP2) antibody had favorable results when compared to mouse monoclonal antibody PR (clone 1A6), the best one in the current market. The PR antibody may prove of great value in the assessment of PR status in human breast cancer. Humanized versions of the PR antibody may provide therapeutic benefits.

Abstract: High affinity monoclonal antibodies for recognizing estrogen receptor (clone SP1) with immunohistochemistry and methods for creating such an antibody are disclosed. The lagomorph derived ER antibody provides a significant advantage over the currently available mouse ER antibodies in that there is no need for target retrieval when performing immunohistochemistry. Furthermore, the very low background when the lagomorph derived ER antibody is used in immunohistochemistry is also impressive. The immunohistochemistry comparative study with about fifty clinical specimens showed that the new ER (clone SP1) antibody had favorable results when compared to mouse monoclonal ER antibodies (clone 1D5). The lagomorph derived ER antibody may prove of great value in the assessment of ER status in human breast cancer. Humanized versions of the ER antibody may also provide therapeutic benefits.

Abstract: High affinity monoclonal antibodies for recognizing estrogen receptor (clone SP1) with immunohistochemistry and methods for creating such an antibody are disclosed. The lagomorph derived ER antibody provides a significant advantage over the currently available mouse ER antibodies in that there is no need for target retrieval when performing immunohistochemistry. Furthermore, the very low background when the lagomorph derived ER antibody is used in immunohistochemistry is also impressive. The immunohistochemistry comparative study with about fifty clinical specimens showed that the new ER (clone SP1) antibody had favorable results when compared to mouse monoclonal ER antibodies (clone 1D5). The lagomorph derived ER antibody may prove of great value in the assessment of ER status in human breast cancer. Humanized versions of the ER antibody may also provide therapeutic benefits.

Abstract: A lagomorph derived monoclonal antibody for recognizing the progesterone receptor (PR) (clone SP2) with immunohistochemistry and methods for creating such an antibody are disclosed. No need of target retrieval in immunohistochemistry is their prominent advantage compared to currently available PR antibody. Furthermore, the very low background when the lagomorph derived monoclonal antibody is used in immunohistochemistry is also impressive. The immunohistochemistry comparative study with about fifty clinical specimens showed that the new PR antibody (clone SP2) antibody had favorable results when compared to mouse monoclonal antibody PR (clone 1A6), the best one in the current market. The PR antibody may prove of great value in the assessment of PR status in human breast cancer. Humanized versions of the PR antibody may provide therapeutic benefits.