Speech Processing Interfaces for Multi-Domain Voice Response Consistency
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Solution Overview
Problem
Existing speech processing systems struggle to accurately and efficiently respond to voice commands due to the integration of multiple speech processing architectures, leading to inconsistent and suboptimal responses.
Innovation Solution
A system is introduced that utilizes a preferred speech processing architecture, which includes a Language Model (LM) to determine domains and interfaces with domain-specific APIs, generating a modeled response while comparing and adjusting to secondary speech processing results based on similarity values and confidence levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple speech processing architectures are integrated to handle voice commands, then the system can process a broader range of domains and commands, but the response consistency and accuracy deteriorate due to conflicts between different architectures
Solution Approach 1:
The system segments speech processing by creating separate processing paths: a first speech processing architecture handles recognized speech, while a second speech processing architecture handles unrecognized speech. This segmentation allows each architecture to specialize in specific domains, improving both versatility and consistency within each domain.
Solution Approach 2:
The system introduces an intermediary mechanism that detects when speech is unrecognized by the first architecture and redirects it to the second architecture. This intermediary resolves conflicts between architectures by determining which architecture should process specific speech inputs, thereby improving response consistency.
2Reliability
If a single speech processing architecture is used to maintain consistent responses, then response accuracy improves, but the system cannot effectively handle multiple diverse domains
Solution Approach 1:
The system achieves multi-functionality by deploying multiple speech processing architectures that can each handle specific domains effectively. The first architecture handles general speech recognition while the second architecture handles domain-specific speech patterns, allowing the system to maintain high accuracy across diverse domains.
Solution Approach 2:
The system dynamically selects which speech processing architecture to use based on the characteristics of the input speech and the target domain. This dynamic selection allows the system to adapt to different domains while maintaining response accuracy through appropriate architecture choice.
3Adaptability or versatility
If multiple speech processing architectures are integrated to handle diverse domains, then domain coverage improves, but the system complexity increases making integration and conflict resolution difficult
Solution Approach 1:
The system introduces intermediary components that manage communication and coordination between the first and second speech processing architectures. These intermediaries handle speech routing, result aggregation, and conflict resolution, thereby reducing integration complexity while maintaining multi-domain capability.
Solution Approach 2:
The system implements feedback mechanisms where the outcome of speech processing by one architecture informs the operation of the other architecture. This feedback loop enables automatic conflict resolution and coordination, reducing the complexity of managing multiple architectures.
Data Source
AI summary
Systems and methods for input processing architecture interfaces include receiving first audio data representing a first voice command within a first input processing architecture. A first action domain associated with the first voice command may be determined by the first input processing architecture. A first domain API may be determined, wherein the first domain API is predefined for interfacing with a second input processing architecture. Utilizing an application of multiple applications, a first input processing result associated with the first voice command may be determined. The first input processing result may be provided to the first domain API. The first input processing architecture may be caused to utilize the first input processing result from the first domain API to determine a first action to be performed responsive to the first voice command.