1. An automated speech processing method comprising: using a speech-to-text (STT) engine for receiving an audio input and for converting the audio input to text data in a source language; using a machine translation (MT) engine for receiving the text data from the STT engine and for translating the text data to text data in a target language; using a caption engine for rendering the text data in the target language on a display device, including receiving metadata from the STT engine and the MT engine identifying defined characteristics of specific portions of the rendered text data in the target language including a defined confidence value representing the accuracy of the rendered text data based on both the accuracy of the converting the audio input to text data in the source language and the accuracy of translating the text data including interactions between the STT engine and MT engine comprising alignment information, and determining specific portions of the text data in the target language to which said defined characteristics, identified by the metadata from the STT engine, apply; and applying different visualization schemes based on color, font, size, underlining and italicization to different parts of the rendered text data based on the defined characteristics of the metadata.
1. An automated speech processing method comprising: using a speech-to-text (STT) engine for receiving an audio input and for converting the audio input to text data in a source language; using a machine translation (MT) engine for receiving the text data from the STT engine and for translating the text data to text data in a target language; using a caption engine for rendering the text data in the target language on a display device, including receiving metadata from the STT engine and the MT engine identifying defined characteristics of specific portions of the rendered text data in the target language including a defined confidence value representing the accuracy of the rendered text data based on both the accuracy of the converting the audio input to text data in the source language and the accuracy of translating the text data including interactions between the STT engine and MT engine comprising alignment information, and determining specific portions of the text data in the target language to which said defined characteristics, identified by the metadata from the STT engine, apply; and applying different visualization schemes based on color, font, size, underlining and italicization to different parts of the rendered text data based on the defined characteristics of the metadata. 5. The method according to claim 1 , wherein the applying different visualization schemes includes applying a selected one of the visualization schemes to a selected part of the rendered text data that corresponds to one or more of the words in the source language that have a STT confidence value below a given threshold value.