Network Text-to-Speech Service with Ad Integration
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Solution Overview
Problem
Existing text-to-speech (TTS) synthesis systems face challenges in providing high-quality speech synthesis on a wide range of devices due to resource constraints and the need for multi-user support, security, scalability, and cost considerations, particularly in desktop applications and telephony systems.
Innovation Solution
A network-accessible TTS service that synthesizes speech and integrates advertising, allowing for content transformation and audible advertisement production, reducing computational resource requirements and development costs by delivering TTS as a service over the internet, which can process various input types and formats, including graphical representations, and reuse existing text-based advertising infrastructure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If TTS applications are installed on desktop computers, then high-quality speech synthesis can be achieved, but computational resources (disk space, RAM, CPU cycles) are consumed and devices require more resources than they would otherwise
Solution Approach 1:
The patent introduces a server as an intermediary between users and TTS functionality. The server hosts the TTS application and processes speech synthesis requests, allowing desktop computers to access high-quality speech synthesis without locally installing or running the resource-intensive application. Users interact with the service through a web browser or other lightweight client, which acts as a mediator between the user and the server-based TTS engine.
2Adaptability or versatility
If TTS applications are designed for multiple platforms, then compatibility with different hardware and drivers is improved, but development costs and installation support requirements increase
Solution Approach 1:
The patent implements universality by designing a platform-agnostic architecture where the TTS application runs on a server that can be accessed by any device with an internet connection and a web browser. The server handles all platform-specific concerns, while clients remain simple, universal interfaces. This allows the same TTS service to serve desktop computers, mobile devices, tablets, and other platforms without requiring separate applications or platform-specific development.
3Use of energy by moving object
If a network-accessible TTS service is implemented, then resource requirements for client devices are reduced, but network and server costs increase
Solution Approach 1:
The patent implements self-service by allowing the server to dynamically allocate and manage its own computational resources based on demand. The system includes automatic load balancing, resource provisioning, and scaling mechanisms that enable the server infrastructure to efficiently handle varying workloads without requiring over-provisioning for peak demands. This reduces wasted resources and optimizes the cost-benefit ratio of network-based TTS deployment.
4Adaptability or versatility
If TTS service processes a wide variety of input content types, then user preferences and content diversity are accommodated, but processing complexity and quality consistency increase
Solution Approach 1:
The patent applies local quality by implementing content-type-specific processing pipelines and transformation rules within the universal TTS service. Different input formats (HTML, XML, plain text, formatted documents) receive tailored preprocessing, formatting, and validation specific to their requirements, while the core speech synthesis engine maintains consistent quality output. This allows the system to handle diverse content types with appropriate specialized processing while preserving overall quality consistency.
Data Source
AI summary
Methods and systems for providing a network-accessible text-to-speech synthesis service are provided. The service accepts content as input. After extracting textual content from the input content, the service transforms the content into a format suitable for high-quality speech synthesis. Additionally, the service produces audible advertisements, which are combined with the synthesized speech. The audible advertisements themselves can be generated from textual advertisement content.