Speech:Exps 0097

Author: Matthew D Henninger

Date: May 6, 2013

Details: Wondering if separating channels would yield better results from sphinx. Made a new script genTrans6.pl that would do this. I also found that parse_Transcirpt.perl was based on older versions of the transcript. So I created a made a new one called parse_Transcript2.pl located in /mnt/media/scripts/user/. I also found that separating the channels did not entirely remove the second speaker it just made them fainter. Sox has a tool for removing background noise but you have to generate a noise profile from sections of the file that need to be excluded. I used the dictionary from experiment 75 for the train. I am not very good at generating dictionaries or running trains so repetition of the experiment is important.

Results: The if we compare to exp0075 the S.Err rate went down from but down but the Err rate went up. I am not sure what the reason for this is but it is an interesting result none the less. -     | SPKR    | # Snt # Wrd | Corr    Sub    Del    Ins    Err  S.Err | |-+-+-|     | sw2001b |   34    487 | 58.9   23.6   17.5    3.5   44.6   76.5 | |-+-+-|     | sw2001a |   32    493 | 65.1   19.7   15.2    8.9   43.8   68.8 | |-+-+-|     | sw2005a |   53   1168 | 62.3   18.9   18.8    2.6   40.2   92.5 | |-+-+-|     | sw2005b |   77    835 | 46.5   30.1   23.5    7.7   61.2   85.7 | |-+-+-|     | sw2006b |   43   1013 | 44.2   30.0   25.8    2.2   57.9   95.3 | |-+-+-|     | sw2006a |   40    612 | 63.6   18.0   18.5    3.6   40.0   72.5 | |-+-+-|     | sw2007a |   86   1045 | 59.3   17.4   23.3    3.1   43.7   83.7 | |-+-+-|     | sw2007b |   80   1184 | 61.7   18.5   19.8    1.8   40.1   83.8 | |-+-+-|     | sw2008a |   28    367 | 55.9   30.0   14.2   10.1   54.2   92.9 | |-+-+-|     | sw2008b |   32    447 | 58.2   25.3   16.6    3.4   45.2   68.8 | |-+-+-|     | sw2009b |   44    602 | 55.1   25.4   19.4    4.8   49.7   68.2 | |-+-+-|     | sw2009a |   37    608 | 42.9   35.0   22.0    7.2   64.3  100.0 | |-+-+-|     | sw2010b |   33    653 | 40.0   30.3   29.7    2.8   62.8   97.0 | |-+-+-|     | sw2010a |   38    530 | 50.6   29.4   20.0    5.5   54.9   86.8 | |-+-+-|     | sw2012a |   67   1425 | 42.7   25.0   32.3    2.2   59.4   79.1 | |-+-+-|     | sw2012b |   43    836 | 59.2   20.0   20.8    3.9   44.7   74.4 | |-+-+-|     | sw2013a |   52    748 | 39.8   33.7   26.5    4.8   65.0   90.4 | |-+-+-|     | sw2013b |   88   1493 | 31.3   37.0   31.7    3.6   72.3   90.9 | |-+-+-|     | sw2014a |   23    298 | 52.0   28.2   19.8   13.8   61.7   95.7 | |-+-+-|     | sw2014b |   27    528 | 42.4   33.1   24.4    6.4   64.0   96.3 | |-+-+-|     | sw2015a |   29    613 | 42.3   32.5   25.3    1.6   59.4   96.6 | |-+-+-|     | sw2015b |   41    802 | 51.5   24.4   24.1    2.4   50.9   78.0 | |-+-+-|     | sw2017b |   46    958 | 59.6   21.0   19.4    4.1   44.5   91.3 | |-+-+-|     | sw2017a |   46    516 | 44.6   32.9   22.5    9.1   64.5   95.7 | |-+-+-|     | sw2018a |   55    640 | 61.4   25.8   12.8   11.4   50.0   96.4 | |-+-+-|     | sw2018b |   57    979 | 49.0   29.3   21.7    2.3   53.3   82.5 | |-+-+-|     | sw2019a |   60    765 | 60.7   23.1   16.2    6.5   45.9   95.0 | |-+-+-|     | sw2019b |   65    822 | 61.8   19.8   18.4    3.8   42.0   67.7 | |-+-+-|     | sw2020a |   61    662 | 59.1   24.0   16.9   16.5   57.4   95.1 | |-+-+-|     | sw2020b |   66   1514 | 57.4   23.4   19.2    7.5   50.1   98.5 | |-+-+-|     | sw2022a |   40    766 | 51.0   21.9   27.0    3.9   52.9   85.0 | |-+-+-|     | sw2022b |   43    622 | 54.2   22.3   23.5    3.9   49.7   83.7 | |-+-+-|     | sw2023a |   72   1189 | 41.4   35.7   22.9    4.9   63.5   93.1 | |-+-+-|     | sw2023b |   81    947 | 48.9   29.0   22.1    5.6   56.7   87.7 | |-+-+-|     | sw2024a |   38    426 | 66.4   22.3   11.3    9.9   43.4   97.4 | |-+-+-|     | sw2024b |   45    894 | 45.2   27.2   27.6    1.1   55.9   84.4 | |-+-+-|     | sw2025a |   38    715 | 33.8   34.8   31.3    2.7   68.8   97.4 | |-+-+-|     | sw2025b |   44    812 | 44.8   30.0   25.1    4.6   59.7   95.5 | |-+-+-|     | sw2027b |   55   1174 | 42.6   25.6   31.9    4.6   62.0   98.2 | |-+-+-|     | sw2027a |   51   1177 | 47.2   26.3   26.5    3.1   55.8   86.3 | |-+-+-|     | sw2028a |   88    967 | 66.1   19.8   14.2    5.4   39.3   77.3 | |-+-+-|     | sw2028b |   91    942 | 69.5   16.7   13.8    4.2   34.7   79.1 | |-+-+-|     | sw2032a |   76   1308 | 40.9   29.7   29.4    1.7   60.8   90.8 | |-+-+-|     | sw2032b |   60    728 | 67.6   19.6   12.8    3.4   35.9   68.3 | |-+-+-|     | sw2035a |   41    426 | 52.8   23.7   23.5    6.3   53.5   85.4 | |-+-+-|     | sw2035b |   57    880 | 50.8   26.5   22.7    2.4   51.6   89.5 | |-+-+-|     | sw2036b |   48    516 | 55.8   24.8   19.4    4.8   49.0   79.2 | |-+-+-|     | sw2036a |   64    776 | 43.8   26.7   29.5    2.8   59.0   85.9 | |-+-+-|     | sw2038b |   60   1153 | 45.3   30.3   24.5    1.6   56.3   95.0 | |-+-+-|     | sw2038a |   49    866 | 62.2   21.9   15.8    3.8   41.6   87.8 | |-+-+-|     | sw2039b |   65    607 | 70.7   20.4    8.9   14.5   43.8   84.6 | |-+-+-|     | sw2039a |   81   1027 | 64.0   18.7   17.3    3.0   39.0   76.5 | |-+-+-|     | sw2040a |   61    763 | 74.8   16.5    8.7    2.9   28.0   75.4 | |-+-+-|     | sw2040b |   63   1109 | 62.0   20.6   17.4    1.1   39.0   71.4 | |-+-+-|     | sw2041a |   82   1302 | 43.6   27.0   29.4    2.0   58.4   69.5 | |-+-+-|     | sw2041b |   56   1035 | 60.1   20.8   19.1    5.9   45.8   96.4 | |-+-+-|     | sw2044a |   72   1319 | 63.2   19.6   17.1    7.1   43.9   94.4 | |-+-+-|     | sw2044b |   51    909 | 61.9   21.7   16.4    2.9   40.9   78.4 | |-+-+-|     | sw2045a |   62    964 | 50.7   30.2   19.1    1.0   50.3   90.3 | |-+-+-|     | sw2045b |   61    512 | 45.3   32.4   22.3   11.7   66.4   91.8 | |-+-+-|     | sw2050b |   66   1079 | 46.9   32.3   20.9    6.6   59.7   92.4 | |-+-+-|     | sw2050a |   68    915 | 70.3   14.8   15.0    2.6   32.3   60.3 | |-+-+-|     | sw2051a |   64    501 | 65.5   25.1    9.4    3.4   37.9   65.6 | |-+-+-|     | sw2051b |  139   1473 | 52.9   25.7   21.4    6.2   53.4   83.5 | |-+-+-|     | sw2053a |   58    579 | 53.7   26.8   19.5    5.0   51.3   81.0 | |-+-+-|     | sw2053b |   61    720 | 49.7   28.3   21.9    6.1   56.4   95.1 | |-+-+-|     | sw2054a |  110   1378 | 61.4   19.4   19.2    2.0   40.6   75.5 | |-+-+-|     | sw2054b |  100    989 | 56.5   25.5   18.0    7.6   51.1   91.0 | |-+-+-|     | sw2055a |   42    467 | 48.2   29.8   22.1    6.6   58.5   92.9 | |-+-+-|     | sw2055b |   32    529 | 46.5   27.0   26.5    5.1   58.6   90.6 | |-+-+-|     | sw2056a |   45    814 | 53.9   27.4   18.7    3.3   49.4   97.8 | |-+-+-|     | sw2056b |   54    497 | 61.6   20.3   18.1    8.7   47.1   79.6 | |-+-+-|     | sw2057a |   71   1600 | 61.5   20.6   17.9    4.5   43.0   95.8 | |-+-+-|     | sw2057b |   36    479 | 56.2   23.0   20.9    9.6   53.4  100.0 | |-+-+-|     | sw2060a |   47    607 | 72.8   18.8    8.4    7.1   34.3   85.1 | |-+-+-|     | sw2060b |   48    467 | 67.0   18.8   14.1    3.6   36.6   77.1 | |-+-+-|     | sw2061a |  114   1732 | 46.7   27.4   26.0    2.0   55.3   87.7 | |-+-+-|     | sw2061b |  115   1076 | 43.3   28.0   28.7    3.7   60.4   72.2 | |-+-+-|     | sw2062a |   40    753 | 62.7   19.4   17.9    2.5   39.8   82.5 | |-+-+-|     | sw2062b |   71   1487 | 47.7   24.9   27.4    3.5   55.8   91.5 | |=================================================================|     | Sum/Avg | 4659  68616 | 53.5   25.1   21.5    4.5   51.0   85.1 | |=================================================================|     |  Mean   | 58.2  857.7 | 54.1   25.1   20.7    5.0   50.9   85.9 | | S.D.   | 22.1  330.0 |  9.6    5.2    5.6    3.2    9.6    9.8 | | Median | 55.5  813.0 | 54.1   25.2   19.9    3.9   51.2   87.2 | `-'