Patent No. US11817078 (titled "Systems And Methods For Dynamically Improving User Intelligibility Of Synthesized Speech In A Work Environment") was filed by Vocollect Inc on Jun 2, 2023.
’078 is related to the field of speech-based systems, specifically addressing the challenge of maintaining speech intelligibility in dynamic work environments. Existing systems often rely on static text-to-speech (TTS) engine settings, which can become inadequate due to factors like ambient noise, unfamiliar prompts, or user fatigue, leading to errors and reduced efficiency in speech-directed tasks such as inventory management.
The underlying idea behind ’078 is to dynamically adjust the operational parameters of a TTS engine in response to real-time environmental conditions. Instead of relying on fixed settings, the system monitors factors that affect speech intelligibility and automatically modifies parameters like speed, pitch, or volume to optimize the user's comprehension of synthesized speech. This adaptation aims to improve accuracy and reduce frustration in speech-driven workflows.
The claims of ’078 focus on a communication system incorporating a speech recognition system and a TTS engine, where processing circuitry accesses an inventory management system to provide tasks audibly to a user. The key element is the system's ability to monitor an environmental condition, such as ambient noise or the user's experience level with the system, and then modify an operational parameter of either the TTS engine or the speech recognition system based on that condition.
In practice, the system might use sensors to detect high ambient noise levels in a warehouse. Upon detecting such noise, the processing circuitry could automatically increase the volume of the TTS engine to ensure the user can clearly hear instructions. Alternatively, if the system detects that a user is relatively new to a particular task or application area, it might automatically slow down the speech rate of the TTS engine to improve comprehension.
This approach differentiates itself from prior solutions by providing an automated, context-aware adaptation of TTS parameters. Instead of requiring users to manually adjust settings, the system proactively optimizes speech intelligibility based on real-time conditions. This dynamic adjustment ensures that users receive clear and understandable instructions, even in challenging environments, leading to improved efficiency and reduced errors in speech-directed work.
In the early 2010s when ’078 was filed, speech recognition and text-to-speech (TTS) systems were becoming more prevalent in mobile computing environments, particularly for hands-free operation in work environments. At a time when such systems commonly relied on wireless communication between a central computer and wearable devices, adjusting TTS engine parameters often required navigating through multiple menus, which was cumbersome and time-consuming for users experiencing temporary changes in their environment or task.
The examiner allowed the claims because they were deemed non-obvious over Kirsch et al. in view of Veprek et al., both of which were already of record. The examiner stated that the prior art failed to teach or fairly suggest the limitations recited in the independent claims, as specifically amended. The dependent claims were also considered allowable because they further limited the allowable independent claims.
This patent contains 30 claims, with independent claims numbered 1, 10, 17, and 24. The independent claims are directed to a communication system and a method for managing tasks within an inventory system, using speech recognition and text-to-speech technology, and adjusting operational parameters based on environmental conditions. The dependent claims generally elaborate on and refine the specifics of the communication system and method described in the independent claims.
Definitions of key terms used in the patent claims.

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