Systems and methods for capturing, processing, and rendering one or more context-aware moment-associating elements

A system for processing a plurality of moment-associating elements, the system comprising:

• a transforming module comprising at least one selected from a group consisting of one or more software modules or one or more processors, the transforming module configured to transform a plurality of moment-associating elements into one or more pieces of moment-associating information by:
• segmenting a plurality of audio elements from the plurality of moment-associating elements into a plurality of audio segments;
• transcribing, by an automated speech recognition (ASR) system using one or more acoustic models and one or more language models that are trained on data including one or more human speech audios, a first element of the plurality of audio segments into a first text element of a plurality of text elements;
• transcribing, by the ASR system using the one or more language models, a second element of the plurality of audio segments into a second text element of the plurality of text elements;
• identifying, by the ASR system using the one or more acoustic models and the one or more language models, one or more incorrectly transcribed words in the first transcribed text element;
• updating the first transcribed text element by correcting the one or more incorrectly transcribed words in the first transcribed text element using one or more transcribed words in the second transcribed text element;
• and
• generating one or more pieces of moment-associating information based on at least the plurality of audio segments and the plurality of text elements.

A computer-implemented method for receiving and processing a plurality of moment-associating elements, the method comprising:

• receiving the plurality of moment-associating elements, the plurality of moment-associating elements including a plurality of audio elements;
• establishing, by an automated speech recognition (ASR) system using one or more acoustic models and one or more language models that are trained on data including one or more human speech audios, one or more anchor points based on at least the plurality of moment-associating elements, the one or more anchor points corresponding to one or more timestamps respectively, and at least one of the one or more anchor points including an image that is searchable via a user-inputted image, each acoustic model of the one or more acoustic model configured to recognize a specific type of sound;
• transforming, by the ASR system using the one or more language models, the plurality of moment-associating elements and the one or more anchor points into one or more pieces of moment-associating information;
• and
• transmitting at least one piece of the one or more pieces of moment-associating information.