{"id":486,"date":"2023-04-19T13:44:32","date_gmt":"2023-04-19T13:44:32","guid":{"rendered":"https:\/\/www.fidelsoftech.com\/case-studies\/?p=486"},"modified":"2025-08-13T12:43:41","modified_gmt":"2025-08-13T12:43:41","slug":"multilingual-data-creation-for-japanese-language","status":"publish","type":"post","link":"https:\/\/www.fidelsoftech.com\/case-studies\/multilingual-data-creation-for-japanese-language\/","title":{"rendered":"Multilingual Data creation for Japanese Language – Case Study"},"content":{"rendered":"

[et_pb_section fb_built=”1″ fullwidth=”on” _builder_version=”4.18.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_fullwidth_image src=”https:\/\/www.fidelsoftech.com\/case-studies\/wp-content\/uploads\/2023\/04\/multilingual-data-creation-for-japanese.jpg” alt=”Multilingual Data Creation for Japanese” _builder_version=”4.19.5″ _module_preset=”default” custom_margin=”||||false|false” global_colors_info=”{}”][\/et_pb_fullwidth_image][\/et_pb_section][et_pb_section fb_built=”1″ fullwidth=”on” _builder_version=”4.18.0″ _module_preset=”default” custom_margin=”2px||0px||false|false” global_colors_info=”{}”][et_pb_fullwidth_post_title meta=”off” featured_image=”off” _builder_version=”4.18.0″ _module_preset=”default” title_text_align=”left” custom_margin=”0px||||false|false” custom_padding=”30px||||false|false” global_colors_info=”{}”][\/et_pb_fullwidth_post_title][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.18.0″ _module_preset=”default” custom_padding=”25px||||false|false” global_colors_info=”{}”][et_pb_row module_class=”inner-page” _builder_version=”4.18.0″ _module_preset=”default” custom_padding=”0px||||false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.18.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

About Client:<\/h2>\n

Client is a AI Technology Company that builds fully autonomous SaaS products for our global customer base using the latest AI software technologies. They are building game-changing Artificial Intelligence Technology Solutions that are easy to use, adapt, and scale, making our clients successful in a fully connected world.<\/p>\n

Requirement:<\/h2>\n

Recordings in –<\/strong><\/p>\n

    \n
  1. Six different accents of the Japanese language (Kanto, T\u014dkai\u2013T\u014dsan, Kinki\/Hokuriku, Hokkaido\/Tohoku, Chugoku\/Shikoku and Kyushu), according to Kanto standards as it will help the speech recognition model .<\/li>\n
  2. Each unique speaker between the ages of 15 to 60 years old with gender equality amongst the speakers.<\/li>\n
  3. The recordings should be around 100<\/span> speech hours per accent, with each session not exceeding few hours.<\/li>\n
  4. Each conversation should consist of two speakers and each conversation should end between 5 to 15 minutes.<\/li>\n
  5. The recording method should be stereo audio with two channels in .wav file format, with one single channel per speaker.<\/li>\n<\/ol>\n

    Challenges:<\/h2>\n
      \n
        \n
      1. Speakers requirement:<\/strong>
        The number of resources required for the entire project were around 500 speakers with an equal male-female ratio & age ranging between 18 to 60 years old.<\/li>\n
      2. Recording method:<\/strong>
        The requirement was to record\u00a0 speakers per conversation, one speaker per channel in a quiet recording environment.<\/li>\n
      3. Audio Editing:<\/strong>
        Removing silence and poor audio parts in the recordings.<\/li>\n
      4. Finding right speakers:<\/strong>
        Finding so many speakers of different language and arranging their schedule for session.<\/li>\n<\/ol>\n<\/ol>\n

        Solution:<\/h2>\n
          \n
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