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Text to Speech Feature Documentation

Overview​

The Text to Speech (TTS) feature converts written text into natural-sounding spoken words, making content accessible to a wider audience, including people with visual impairments, reading difficulties, or those who prefer auditory content consumption. It enhances user engagement by providing an auditory experience, allowing users to listen to information on the go, multitask, or enjoy hands-free content interaction.

With the advancement of AI and deep learning, modern TTS systems produce highly expressive and human-like speech. This feature leverages AI models such as GPT-4 to synthesize speech that preserves the intended tone, emotion, and prosody, enabling personalized and contextually appropriate speech output.The TTS feature improves communication by transforming static text into dynamic audio, opening new possibilities for user interaction.

Interface Components​

Model​

  • Displays the AI model responsible for speech synthesis, commonly GPT-4 or a specialized speech model.
  • Users may provide additional instructions to customize speech output, such as specifying speaking style, pace, accent, or emotional tone.
  • This customization empowers tailored voice experiences matching brand identity or user preferences.

Instruction Input​

  • A rich text editor is provided for entering the text to be converted to speech.
  • Supports a variety of text formatting features to guide the synthesis engine, including:
    • Bold, italic, underline, and strikethrough for emphasis and clarity.
    • Bulleted and numbered lists for structured content.
    • Text alignment (left, center, right) to maintain readability context.
    • Embedded links and images that provide contextual metadata to improve speech rendering.
    • Inline code and block quotes for technical or quoted material, which may affect speech cadence.

Actions​

  • OK Button: Submits the text and instructions to initiate speech generation.
  • Cancel Button: Closes the interface without generating speech or saving changes.

Technical Workflow​

  1. Text Entry: User inputs or pastes text into the rich editor.
  2. Instruction Processing: Optional user instructions are parsed to adjust voice characteristics.
  3. Synthesis Request: The system sends the formatted text and parameters to the speech synthesis model.
  4. Speech Generation: The model produces an audio waveform or stream based on input.
  5. Playback or Export: The audio can be played back immediately, downloaded, or integrated into applications.

Best Practices​

  • Use clear and well-punctuated text to improve speech quality.
  • Leverage instruction input to specify desired speaking style or emotions.
  • Keep text chunks manageable for optimal processing and audio quality.
  • Test output on different devices and environments to ensure clarity.
  • Update models regularly to incorporate improvements in naturalness and expressiveness.

Usage Instructions​

  1. Enter the text or instructions in the rich text editor.
  2. Optionally customize voice style, pace, or tone in the instruction field.
  3. Click OK to generate and listen to the speech output.
  4. Use Cancel to exit without generating speech.

Tips​

  • If speech output sounds unnatural, refine instructions or simplify text.
  • For mispronunciations, use phonetic spelling or provide pronunciation hints.
  • If synthesis is slow, reduce input size or check network conditions.
  • Ensure correct model selection matching your use case.
  • Report bugs or quality issues to support teams for model tuning.

Summary​

The Text to Speech feature transforms written content into lifelike audio, improving accessibility, engagement, and user experience. It combines AI-driven synthesis with rich user controls to produce customized spoken content suited to diverse applications.This feature enables seamless text-to-audio conversion, making digital content more accessible and engaging.