AI Voice

Orvis Voice includes advanced speech recognition (STT - Speech-to-Text) and text-to-speech (TTS) capabilities, enabling natural and seamless voice interactions.

1. Speech Recognition (STT)

The framework uses OpenAI's Whisper model to transcribe spoken language into text. Below is an example of how Orvis Voice converts audio input into text:

Code Example: Audio to Text Conversion

Using OpenAI Whisper STT

This function enables Orvis Voice to:

• Understand natural speech and process commands.

• Transcribe meetings, interviews, and conversations in real time.

• Assist with accessibility by converting spoken content into text.

2. Text-to-Speech (TTS)

Orvis Voice can generate human-like speech from text, allowing for interactive AI-driven voice responses.

Code Example: Text to Audio Conversion

async function convertTextToAudio(text: string) {
  const response = await openai.audio.speech.create({
    model: "tts-1",
    input: text,
    voice: "alloy", // Choose from available AI voices
  });

  return response.audio;
}

This allows Orvis Voice to:

• Provide real-time spoken responses to user queries.

• Enable hands-free AI interactions.

• Support screen-free accessibility for visually impaired users.

3. Real-World Applications

With STT + TTS, Orvis Voice enables:

• Voice-Controlled AI Assistants: Issue commands and receive spoken responses.

• Automated Customer Support: Handle queries without manual intervention.

• Interactive Storytelling: AI-driven narration for immersive experiences.

• Language Learning & Accessibility: Read-aloud capabilities for education.

This combination of listening and speaking AI makes Orvis Voice a fully interactive, voice-driven assistant.