Systems and methods for transforming digital audio content

A method for creating multimedia moments from audio data comprising, with one or

• more processors:
• (a) storing a plurality of moment models, wherein each moment model of the plurality of moment models is configured to identify a unique moment type, wherein the plurality of moment models comprises a base moment model;
• (b) storing a plurality of transcript datasets, wherein each transcript dataset of the plurality of transcript datasets comprises text derived from corresponding audio data and is time indexed to the corresponding audio data;
• (c) receiving an episode audio dataset, and creating a transcript dataset based on the new episode audio dataset;
• (d) determining whether the plurality of moment models comprises a focused moment model for the episode audio dataset, and using the focused moment model as a selected moment model;
• (e) where the focused moment model is not within the plurality of moment models, using the base moment model as the selected moment model;
• (f) analyzing the transcript dataset using the selected moment model to identify a plurality of moments within the transcript dataset, wherein the plurality of moments comprises a set of positive moments that are of high relevance to the unique moment type;
• (g) for at least one positive moment of the set of positive moments, creating a multimedia moment based on that positive moment, wherein the multimedia moment comprises a transcript text from the transcript dataset that corresponds to that positive moment, an audio segment from the episode audio dataset that corresponds to the transcript text, and a moment type that describes the unique moment type associated with that positive moment;
• and
• (h) causing a user interface that is based on the multimedia moment to display on a user device;
• wherein the user interface is configured to provide one or more of:
• (i) a synchronized text-audio playback capability that visually highlights a relevant transcript segment during audio playback,
• (ii) a feedback module for confirming or rejecting the identified moment,
• (iii) a hierarchical menu or label structure enabling selection of specialized sub-models or sub-types,
• (iv) an automated process to generate new sub-models upon detecting at least a threshold number of consistent positive examples for an unrepresented sub-type, and/or
• (v) an embedded sharing option that retains the time-indexed transcript and moment type descriptors when posted to third-party platforms.

A system for creating multimedia moments from audio data comprising:

• (a) a server comprising one or more processors;
• (b) a model database configured to store a plurality of moment models, wherein each moment model of the plurality of moment models is configured to identify a unique moment type, wherein the plurality of moment models comprises a base moment model;
• (c) a transcript database configured to store a plurality of transcript datasets, wherein each transcript dataset of the plurality of transcript datasets comprises text derived from corresponding audio data and is time indexed to the corresponding audio data;
• wherein the one or more processors are configured to:
• (i) receive an episode audio dataset;
• (ii) create a transcript dataset based on the episode audio dataset, and add the transcript dataset to the plurality of transcript datasets;
• (iii) determine whether the plurality of moment models comprises two or more focused moment models for the episode audio dataset, and use the two or more focused moment models as a selected moment model;
• (iv) where the two or more focused moment model are not within the plurality of moment models, use the base moment model as the selected moment model;
• (v) analyze the transcript dataset using the selected moment model to identify a plurality of moments within the transcript dataset, wherein the plurality of moments comprises a set of positive moments that are of high relevance to the unique moment type or other unique moment types of the selected moment model;
• (vi) for at least one positive moment of the set of positive moments, create a multimedia moment based on that positive moment, wherein the multimedia moment comprises a transcript text from the transcript dataset that corresponds to that positive moment, an audio segment from the episode audio dataset that corresponds to the transcript text, and a moment type that describes the unique moment type associated with that positive moment;
• and
• (vii) cause a user interface that is based on the multimedia moment to display on a user device;
• wherein the user interface is configured to performed one or more of:
• (1) providing time-synchronized playback of the audio segment together with the corresponding transcript text,
• (2) accepting user feedback indicating whether the identified positive moment is correctly labeled,
• (3) updating one or more training datasets for each selected moment model based on said user feedback, and/or
• (4) generating a hierarchical display of the selected moment model or models, wherein each moment model is associated with at least one sub-model that is automatically created when a threshold number of consistent positive examples specific to a sub-type of the moment type is reached.