Hierarchical Topic Extraction for Audio Stream Navigation
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Solution Overview
Problem
Users of audio streams face inefficiencies in navigating long audio content, such as podcasts or meeting recordings, due to their serial and unidirectional nature, requiring manual estimation and scrolling to find the correct playback position after interruption.
Innovation Solution
Implementing speech-to-text processing to generate a textual representation, followed by hierarchical topic extraction, which allows users to navigate through a multi-level hierarchical topic representation using a user interface actuator, where scrolling speed determines the level of detail displayed, from general to specific topics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually estimate and scroll through audio streams to find playback positions, then they can navigate the audio content, but the navigation process becomes tedious and time-consuming
Solution Approach 1:
The system performs speech-to-text processing and hierarchical topic extraction in advance, creating a multi-level topic representation structure before the user needs to navigate. This preliminary organization of content by topics and subtopics allows users to jump directly to relevant sections without manual scrolling, significantly reducing navigation time while improving ease of operation.
2Productivity
If the audio stream is converted to text and organized hierarchically, then navigation becomes more efficient, but the system complexity increases
Solution Approach 1:
The audio stream is segmented into discrete topics and subtopics through hierarchical topic extraction, creating a structured representation where each segment corresponds to a specific subject matter. This segmentation allows the system to navigate efficiently by jumping between topic segments rather than processing the entire audio stream sequentially, improving navigation speed while managing system complexity through organized data structures.
Solution Approach 2:
A multi-level hierarchical topic representation is introduced as an intermediary data structure between the raw audio stream and the user interface. This intermediary layer, generated through speech-to-text processing and topic extraction, mediates between the complex audio data and simple user navigation actions, enabling fast navigation while abstracting away the processing complexity from the user interaction layer.
3Measurement precision
If multiple levels of topic detail are displayed, then users can find content more accurately, but the information display becomes more complex
Solution Approach 1:
Multiple levels of topic hierarchy (parent topics and child subtopics) are merged into a unified multi-level topic representation structure. This combined structure allows the system to display appropriate levels of detail based on user context and navigation state, achieving accurate content location through hierarchical relationships while maintaining interface simplicity by presenting only the relevant level of detail at any given moment.
Solution Approach 2:
The topic display dynamically adapts its level of detail based on user interaction and context. The system can switch between displaying high-level parent topics for broad navigation and detailed child subtopics for precise content location, allowing accurate content finding while managing interface complexity through dynamic adjustment of information density rather than permanently displaying all levels simultaneously.
Data Source
AI summary
An audio stream is subjected to speech-to-text processing in order to obtain a textual representation of the audio stream. Hierarchical topic extraction is performed on the textual representation to obtain a multi-level hierarchical topic representation of the textual representation. A user interface actuator is generated, which allows a user to search through the audio stream. Different levels of the multi-level hierarchical topic representation are displayed to the user, based upon the speed of actuation of the user interface actuator.