Word Cloud Audio Navigation via Speech Recognition
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Solution Overview
Problem
Existing solutions fail to effectively visualize and link text to media streams, making it difficult to navigate audio or video files, especially in longer recordings like conference calls, where finding specific topics is challenging without manual indexing or advanced searching.
Innovation Solution
The method involves creating a word cloud that links selected words or phrases to timestamps in audio or video streams, allowing users to click on words and navigate directly to relevant sections, with context-based summaries to pinpoint areas of interest.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual indexing with offset timestamps is used to navigate audio streams, then users can locate specific sections, but the process becomes extremely challenging for longer media files and requires significant user effort to find topics of interest
Solution Approach 1:
The patent introduces an automatic speech recognition system as an intermediary between the audio stream and the user. This mediator converts spoken content into text with timestamps, automatically creates an index, and generates a searchable database without requiring manual intervention. The intermediary handles the complex task of content analysis and organization, allowing users to simply search for topics of interest.
Solution Approach 2:
The system performs preliminary actions by automatically transcribing the audio stream into text and creating an indexed database before the user needs to search. The speech recognition system processes the entire audio file in advance, extracting keywords, phrases, and timestamps, and organizing them into a searchable structure. This preliminary processing eliminates the need for users to manually index or scan through long audio files during their search.
2Adaptability or versatility
If automatic speech recognition is used to convert audio to text for searching, then data mining becomes possible, but the system complexity increases and requires additional processing steps
Solution Approach 1:
The patent implements a multi-functional system where the automatic speech recognition engine serves multiple purposes: it transcribes audio to text, extracts keywords and phrases, generates timestamps, creates an indexed database, and enables both exact and fuzzy searching. This universal approach consolidates what would otherwise require separate processing steps into a single integrated system, managing complexity through functional consolidation.
Solution Approach 2:
The system performs self-service by automatically processing the audio stream through speech recognition, keyword extraction, and database indexing without requiring manual configuration or intervention. The system autonomously handles the entire pipeline from raw audio to searchable text database, adapting to different audio inputs and generating appropriate search structures automatically.
3Loss of information
If existing search solutions are used to find terms in audio files, then occurrences can be located, but the relative importance of terms and their context are not reflected
Solution Approach 1:
The patent applies local quality by providing different levels of search results and information presentation based on user needs. The system can return simple occurrence lists for basic searches, or provide enriched results with context snippets, relevance scoring, and frequency analysis for more advanced queries. Each search result is tailored to provide the appropriate amount of contextual information locally, rather than uniformly for all searches.
Solution Approach 2:
The system implements feedback mechanisms by analyzing search patterns and providing relevance information. The speech recognition system can identify frequently occurring terms, track their importance throughout the audio stream, and use this feedback to prioritize and present search results in order of relevance. This feedback loop allows the system to learn from usage patterns and improve the quality of search results over time.
Data Source
AI summary
The present invention is directed generally to linking a collection of words and/or phrases with locations in a video and/or audio stream where the words and/or phrases occur and/or associations of a collection of words and/or phrases with a call history.