voice

Automate speech-to-text and text-to-speech using OpenAI, Google, and Azure providers.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/liushuang393/serverlessAIAgents --skill voice-liushuang393
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: voice
Source: https://github.com/liushuang393/serverlessAIAgents/tree/main/agentflow/skills/builtin/voice
Command: npx skills add https://github.com/liushuang393/serverlessAIAgents --skill voice-liushuang393

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Speech processing tasks such as transcription and voice synthesis are time-consuming when done manually. This skill automates speech-to-text and text-to-speech workflows using AI providers (e.g., OpenAI Whisper and TTS), enabling rapid audio-to-text and text-to-audio conversions.

Core Features & Use Cases

  • Speech-to-Text (STT): Transcribes audio into text using AI providers with multi-language support.
  • Text-to-Speech (TTS): Converts text into natural-sounding speech with selectable voices.
  • Multi-language support: Handles multiple languages and dialects for transcription and synthesis across diverse content.
  • Use Case: Convert meeting recordings into transcripts and generate audio summaries for quick review.

Quick Start

  • Transcribe: voice.transcribe(audio_path="recording.mp3")
  • Synthesize: voice.synthesize("こんにちは、世界!")

Frequently Asked Questions about voice

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate speech-to-text transcription for audio recordings?

Automate speech-to-text transcription by processing audio inputs through AI providers like OpenAI Whisper. The skill configures model selection and an HTTP client interface to convert formats like mp3 into multi-language text transcripts reliably.

Can I use OpenAI Whisper for text-to-speech voice synthesis?

Yes, OpenAI TTS handles text-to-speech voice synthesis. The skill converts text into natural-sounding speech with selectable voices, supporting multiple languages and dialects for diverse content generation.

What is the best way to convert meeting recordings into text transcripts?

Converting meeting recordings into text transcripts is best handled by automated AI transcription. The skill processes audio files to generate accurate multi-language transcripts, enabling rapid audio-to-text conversions for quick review.

Does this speech processing skill support multi-language audio inputs?

Yes, multi-language audio inputs are fully supported. The skill handles multiple languages and dialects for both speech-to-text transcription and text-to-speech synthesis across diverse content formats.

How do I generate audio summaries from text using AI providers?

Generate audio summaries from text using AI text-to-speech providers. The skill synthesizes text into natural-sounding speech, allowing you to create audio outputs for quick review of transcribed content.

What AI providers can I use for speech-to-text and text-to-speech tasks?

The skill supports multiple AI providers for speech-to-text and text-to-speech tasks, including OpenAI Whisper, Google, and Azure. It configures model selection and error handling for reliable, scalable operation across these platforms.