Sports Commentary Speech Parsing for Real-Time Stat Generation
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Solution Overview
Problem
Existing sports statistic tracking systems rely heavily on manual data entry, which is inefficient and prone to errors, and existing speech-to-text systems struggle to adapt to the specific terminology and dynamics of sports environments.
Innovation Solution
An AI-driven speech-to-text system that integrates with sports statistic platforms to autonomously generate game statistics from spoken commentary, using sport-specific vocabularies and grammar models to accurately transcribe and categorize game events, and incorporates a sport-specific language algorithm to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual data entry is used for sports statistics, then data can be collected, but the process is inefficient and prone to errors
Solution Approach 1:
The patent replaces manual mechanical data entry with an automated speech-to-text system that uses AI and machine learning to transcribe spoken commentary into structured sports statistics. This substitution eliminates manual typing while maintaining high accuracy through trained models that understand sports terminology and context.
Solution Approach 2:
The system enables self-service by allowing a single commentator to provide both the commentary and the statistical data simultaneously. The AI system automatically processes the speech, extracts relevant statistics, and structures the data without requiring separate statisticians or manual intervention for data entry.
2Adaptability or versatility
If existing speech-to-text systems are used, then transcription can be performed, but they struggle to adapt to sports-specific terminology and dynamics
Solution Approach 1:
The system performs preliminary action by pre-training the speech-to-text model on extensive sports-specific corpora, including play-by-play commentary, sports terminology, and game dynamics. This pre-training enables the system to accurately recognize and transcribe sports-specific language without requiring adaptation during actual use.
Solution Approach 2:
The patent applies parameter changes by adjusting the speech-to-text system's vocabulary, grammar rules, and contextual understanding to match sports-specific parameters. This includes configuring the model to recognize sports terminology, player names, team names, and game-specific expressions, thereby improving transcription accuracy for sports content.
3Ease of operation
If a single user provides commentary, then the system is simpler to operate, but the workload is more intensive
Solution Approach 1:
The system enables continuous useful action by processing the commentator's speech in real-time as it is spoken, rather than requiring post-processing. The AI model continuously transcribes and structures the commentary into statistics simultaneously with the commentary delivery, eliminating delays and maintaining operational simplicity.
Data Source
AI summary
Speech data that includes a verbal description of a sporting event is received as an input to a speech-to-statistics (STS) system, which converts the speech data to text and determines a plurality of speech fragments in the text. The speech fragments are provided as inputs to a machine learning model of the STS system, where the machine learning model is a sport-specific model trained based on descriptions of activities in a corresponding particular sport. Based on the speech fragments, statistical data is generated as an output of the machine learning model based on the given speech fragment input, and describe statistics for the particular sport corresponding to the activities described in the verbal description of the sporting event.