Camera-Assisted Speech Recognition Correction for Ambiguous Vehicle Commands
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Solution Overview
Problem
Speech recognition systems struggle to accurately interpret ambiguous or out-of-domain utterances in driving situations due to hurried speech or ambiguous words, leading to difficulties in discerning the driver's intent.
Innovation Solution
A system utilizing a vehicle interior camera to capture images, combined with speech recognition and natural language processing, identifies context information and ambiguities in utterances, adjusting the recognition results to align with the driver's intended actions and vehicle operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If speech recognition is used in driving situations, then hands-free control is enabled, but accuracy deteriorates due to hurried speech and ambiguous words
Solution Approach 1:
The patent introduces camera-based visual recognition as an intermediary to capture the driver's line of sight and gesture information. This visual data serves as a mediator between the ambiguous speech input and the intended command, helping to disambiguate references like 'this' or 'that' by identifying which object the driver is looking at or pointing to.
Solution Approach 2:
The patent adds a spatial dimension to speech recognition by incorporating visual field information. Instead of relying solely on audio processing, the system processes spatial data from camera images to determine object locations relative to the driver's gaze direction, creating a multi-dimensional interpretation framework that resolves ambiguities in spatial references.
2Adaptability or versatility
If natural language processing is used to interpret driver speech, then conversational control is enabled, but reliability deteriorates when drivers speak hurriedly or use ambiguous words
Solution Approach 1:
The system implements feedback by comparing the driver's line of sight direction with the identified object positions. When speech contains ambiguous references, the system uses the visual feedback loop to verify which object the driver intends to reference, thereby improving the reliability of intent recognition in hurried or ambiguous speech situations.
Solution Approach 2:
The patent performs preliminary visual recognition to identify objects in the driver's field of view before processing the speech command. This preliminary action prepares the system with contextual information about available objects, enabling more reliable interpretation of subsequent speech input even when the driver speaks hurriedly or uses ambiguous language.
3Speed
If speech recognition system processes ambiguous utterances, then system responsiveness is improved, but accuracy deteriorates without context information
Solution Approach 1:
The system performs preliminary capture and processing of visual context information (driver's line of sight, object positions) before the speech recognition process. This preliminary action ensures that contextual data is ready when ambiguous utterances are processed, enabling fast and accurate interpretation without requiring additional processing time during the critical response phase.
Data Source
AI summary
An apparatus and method for correcting results of speech recognition by using a camera is disclosed. A speech recognition apparatus may include: memory storing instructions; and at least one processor. The at least one processor may be configured to: receive, via a microphone, an utterance spoken by a user; identify, based on one or more images received from a camera of a vehicle, context information indicating: an action of the user while speaking the utterance, and an object associated with the action; identify, based on performing speech recognition on the utterance, an intent of the utterance; identify, based on the intent and based on a sentence type associated with the utterance, an ambiguity associated with the utterance; adjust, based on the ambiguity and the context information, a result of the speech recognition; and control, based on the adjusted result of the speech recognition, an operation of the vehicle.