Vocal Guidance Engine for Playback Devices
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Solution Overview
Problem
Wireless audio playback devices face limitations in providing useful vocal guidance due to limited memory and processing power, leading to restricted audio outputs, unnatural text-to-speech sounds, and privacy concerns with remote server reliance.
Innovation Solution
Incorporating two wireless transceivers for separate data networks, allowing local pairing with source devices and using a vocal guidance engine that accesses a library for pre-recorded audio clips based on device IDs, MAC addresses, and models to provide natural-sounding vocal feedback without remote server dependency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If text-to-speech synthesis is used for vocal guidance, then audio output capability is improved, but the sound quality becomes unnatural and robotic
Solution Approach 1:
The patent pre-records multiple audio clips containing different phrases and information types before device operation. These pre-recorded clips are stored in memory and selected based on current device state, avoiding real-time text-to-speech synthesis and delivering natural-sounding vocal guidance.
Solution Approach 2:
Instead of generating speech synthetically, the system creates audio clips that are copies of natural human speech recordings. These cloned audio clips replicate the characteristics of natural voice while conveying device status information, thereby eliminating the robotic quality of traditional text-to-speech.
2Ease of operation
If remote servers are used for audio processing, then vocal guidance functionality is improved, but user privacy is compromised and power consumption increases
Solution Approach 1:
The playback device performs vocal guidance generation locally using its own processor and stored audio clips, without requiring connection to remote servers. The device selects and plays appropriate pre-recorded clips based on its current state, making the system self-sufficient and eliminating privacy concerns associated with cloud processing.
Solution Approach 2:
Audio clips are pre-recorded and stored in the device's memory before operation. This preliminary preparation allows the device to generate vocal guidance locally without needing to communicate with remote servers, thereby protecting user privacy and reducing power consumption from network operations.
3Ease of operation
If device memory is increased to store more audio clips, then vocal guidance quality is improved, but device size and cost increase
Solution Approach 1:
The vocal guidance system divides audio output into multiple short, discrete clips rather than storing long continuous audio files. Each clip contains a specific phrase or piece of information. This segmentation allows comprehensive vocal guidance functionality with a compact library of short audio segments, reducing overall memory requirements.
Solution Approach 2:
Different audio clips are optimized for different device states and information types. Rather than storing uniform high-quality audio for all possible scenarios, the system stores appropriately sized clips tailored to specific guidance needs, optimizing memory usage while maintaining quality where necessary.
4Adaptability or versatility
If processing power is increased for real-time audio generation, then vocal guidance flexibility is improved, but power consumption increases
Solution Approach 1:
Audio generation is performed in advance during the recording phase, not in real-time during device operation. The processor only needs to select and play pre-rendered clips rather than synthesizing speech on-demand, dramatically reducing computational requirements and power consumption during actual use.
Solution Approach 2:
The system uses minimal processing power by leveraging pre-recorded content. The processor's role is limited to selecting appropriate clips based on device state and playing them through the audio output, avoiding the high computational demands of real-time speech synthesis while maintaining vocal guidance flexibility.
Data Source
AI summary
Systems and methods for vocal guidance for playback devices are disclosed. A playback device can include a first wireless transceiver for communication via a first data network and a second wireless transceiver for communication via a second data network. The device includes one or more processors and is configured to maintain a library that includes one or more source device names and corresponding audio content, the audio content configured to be played back via an amplifier to indicate association of a particular source device with the playback device via the first data network. The device receives, via the second data network, information from one or more remote computing devices, and based on the information, updates the library by: (i) adding at least one new source device name and corresponding audio content; (ii) changing at least one source device name or its corresponding audio content; or both (i) and (ii).