Local Text-Response Maps for Low-Latency Voice Rendering
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Solution Overview
Problem
Voice-based user interfaces in client devices face challenges with latency, resource consumption, and bandwidth usage due to reliance on remote systems for speech processing, especially in offline or low-bandwidth scenarios, leading to inefficient and power-intensive operations.
Innovation Solution
Implementing a local text-response map on the client device that stores mappings between previously processed spoken utterances and their corresponding responses, allowing for immediate rendering of responses without needing remote processing, except for dynamic or stale queries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a client-server approach is used for voice processing, then more complex speech recognition and semantic analysis functionality can be implemented, but latency increases and resources are consumed for protracted durations
Solution Approach 1:
The patent pre-processes and stores common speech queries and their responses in a local database on the client device. When a user speaks, the system first checks the local database for pre-computed responses, enabling immediate rendering without waiting for remote processing. This preliminary action resolves latency by providing instant responses for frequent queries while maintaining the ability to use remote systems for complex analysis when needed.
2Adaptability or versatility
If a client-server approach is used for voice processing, then sophisticated semantic analysis can be performed, but bandwidth consumption increases significantly
Solution Approach 1:
The patent extracts and stores frequently used speech queries and their corresponding responses in a local database on the client device. By taking out these common interactions from the remote processing pipeline and handling them locally, the system significantly reduces bandwidth consumption for routine queries while preserving the ability to send complex queries to the remote system when necessary.
Solution Approach 2:
The patent implements local processing capability by storing a database of pre-computed speech responses directly on the client device. This local quality enables the device to process common queries independently without requiring continuous communication with the remote system, thereby reducing bandwidth usage while maintaining sophisticated semantic analysis capability for queries that do have remote support.
3Adaptability or versatility
If a client-server approach is used for voice processing, then comprehensive processing can be performed, but power consumption increases
Solution Approach 1:
The patent performs preliminary processing of common speech queries locally and stores the results in a database on the client device. This eliminates the need for continuous communication with and processing by the remote system for frequent queries, significantly reducing power consumption while maintaining comprehensive processing capability for queries that require remote assistance.
4Adaptability or versatility
If continuous online connectivity is maintained for voice processing, then remote processing can be accessed, but connectivity requirements are not met in offline situations
Solution Approach 1:
The patent pre-processes and stores common speech queries and responses in a local database on the client device. This preliminary action enables the system to operate reliably offline by providing instant responses for pre-computed queries without requiring any network connectivity, while still maintaining the ability to access remote processing capabilities when connectivity is available.
Data Source
AI summary
Implementations disclosed herein relate to generating and/or utilizing, by a client device, a text-response map that is stored locally on the client device. The text-response map can include a plurality of mappings, where each of the mappings define a corresponding direct relationship between corresponding text and a corresponding response. Each of the mappings is defined in the text-response map based on the corresponding text being previously generated from previous audio data captured by the client device and based on the corresponding response being previously received from a remote system in response to transmitting, to the remote system, at least one of the previous audio data and the corresponding text.


