Speech Recognition Rate Adaptation With Hint-Based Decoding
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Solution Overview
Problem
Existing speech recognition systems face challenges in accurately processing speech inputs with varying speech rates, frequencies, and external hints due to their inability to adapt to multiple speakers and optimize speech recognition efficiency and accuracy.
Innovation Solution
A speech recognition system that generates an optimized digital signal based on an optimized speech rate, using a trained model to determine and apply a predetermined range of speech recognition attributes, and processes the signal with a decoder, while incorporating hint-based techniques to improve accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If speech recognition systems process speech inputs with varying speech rates using fixed processing methods, then device complexity is reduced, but speech recognition accuracy deteriorates
Solution Approach 1:
The system dynamically adjusts the speech rate of digital data based on analysis of the input speech rate. A speech rate model determines an optimized speech rate from the varying speech rate in the input, and the system applies this optimized rate to resample the digital data before processing. This dynamic adaptation allows accurate recognition across different speech rates without requiring multiple fixed processing paths.
Solution Approach 2:
The system changes the speech rate parameter of the digital data to an optimized value determined by the speech rate model. By transforming the digital data from the original varying speech rate to a standardized optimized speech rate, the system improves recognition accuracy while maintaining manageable processing complexity through a single transformation step.
2Measurement precision
If speech recognition systems process speech at original varying speech rates, then processing speed is maintained, but recognition accuracy deteriorates
Solution Approach 1:
The system performs preliminary processing by determining the speech rate and applying optimization transformation to the digital data before the main speech recognition processing. The speech rate model analyzes the input and pre-adjusts the digital data to an optimized speech rate, ensuring that subsequent processing operates on standardized data, which improves accuracy without significant time penalty.
3Adaptability or versatility
If speech recognition systems use single speech rate processing, then device complexity is reduced, but adaptability to different speakers deteriorates
Solution Approach 1:
The speech rate model serves as a universal component that handles varying speech rates from different speakers through a single standardized process. Rather than creating separate processing paths for different speakers or speech rates, the system uses one model to analyze and optimize any input speech rate, making the system adaptable to all speakers while maintaining relatively simple architecture.
4Measurement precision
If speech recognition systems process all speech inputs with maximum processing resources, then recognition accuracy is improved, but processing efficiency deteriorates
Solution Approach 1:
The system transforms the speech rate parameter to an optimized value that standardizes the input data. This parameter transformation enables more efficient processing by the speech recognition decoder, as the optimized speech rate creates more consistent and predictable patterns in the digital data, allowing the decoder to process inputs more efficiently while maintaining high accuracy.
Data Source
AI summary
The present application provides methods, apparatuses, and/or the like that are configured to accurately and efficiently train a speech recognition speech rate model to generate an optimized digital signal from speech input of a user for decoding. For example, the decoding includes accessing a hint data object at or around the time of the speech input to determine an output hypothesis from a plurality of hypotheses that matches the speech input.