gemini-tts

Este extracto es una copia guardada durante la revisión. La fuente externa contiene la versión completa y actual.

---
name: gemini-tts
description: Generate speech from text using Google Gemini TTS models via scripts/. Use for text-to-speech, audio generation, voice synthesis, multi-speaker conversations, and creating audio content. Supports multiple voices and streaming. Triggers on "text to speech", "TTS", "generate audio", "voice synthesis", "speak this text".
license: MIT
version: 1.0.0
keywords: text-to-speech, TTS, audio generation, voice synthesis, multi-speaker, streaming, Kore, Puck, Charon, Fenrir, Aoede, Zephyr
---

# Gemini Text-to-Speech

Generate natural-sounding speech from text using Gemini's TTS models through executable scripts with support for multiple voices and multi-speaker conversations.

## When to Use This Skill

Use this skill when you need to:
- Convert text to natural speech
- Create audio for podcasts, audiobooks, or videos
- Generate multi-speaker conversations
- Stream audio for long content
- Choose from multiple voice options
- Create accessible audio content
- Generate voiceovers for presentations
- Batch convert text to audio files

## Available Scripts

### scripts/tts.js
**Purpose**: Convert text to speech using Gemini TTS models

**When to use**:
- Any text-to-speech conversion
- Multi-speaker conversation generation
- Streaming audio for long texts
- Voiceovers for content creation
- Accessible audio generation

**Key parameters**:
| Parameter | Description | Example |
|-----------|-------------|---------|
| `text` | Text to convert (required) | `"Hello, world!"` |
| `--voice`, `-v` | Voice name | `Kore` |
| `--output`, `-o` | Base name for output file | `welcome` |
| `--output-dir` | Output directory for audio | `audio/` |
| `--no-timestamp` | Disable auto timestamp | Flag |
| `--model`, `-m` | TTS model | `gemini-2.5-flash-preview-tts` |
| `--stream`, `-s` | Enable streaming | Flag |
| `--speakers` | Multi-speaker mapping | `"Joe:Kore,Jane:Puck"` |

**Output**: WAV audio file path

## Workflows

### Workflow 1: Basic Text-to-Speech
```bash
node scripts/tts.js "Hello, world! Have a wonderful day."
```
- Best for: Quick audio generation, simple messages
- Voice: `Kore` (default, clear and professional)
- Output: `audio/tts_output_YYYYMMDD_HHMMSS.wav` (auto timestamp)

### Workflow 2: Choose Different Voice
```bash
node scripts/tts.js "Welcome to our podcast about technology trends" --voice Puck --output welcome
```
- Best for: Friendly, conversational content
- Voice options: Kore, Puck, Charon, Fenrir, Aoede, Zephyr, Sulafat
- Output: `audio/welcome_YYYYMMDD_HHMMSS.wav`

### Workflow 3: Multi-Speaker Conversation
```bash
node scripts/tts.js "TTS the following conversation:
Joe: How's it going today?
Jane: Not too bad, how about you?
Joe: I'm working on a new project.
Jane: Sounds exciting, tell me more!" --speakers "Joe:Kore,Jane:Puck" --output conversation
```
- Best for: Dialogues, interviews, role-playing content
- Format: Marked conversation with speaker names
- Script automatically routes text to appropriate voices
- Output: `audio/conversation_YYYYMMDD_HHMMSS.wav`

### Workflow 4: Long Content with Streaming
```bash
node scripts/tts.js "This is a very long text that would benefit from streaming..." --stream --output long-form
```
- Best for: Podcasts, audiobooks, long articles
- Streaming: Processes audio in chunks for long texts
- Output: `audio/long-form_YYYYMMDD_HHMMSS.wav`

### Workflow 5: Professional Voiceover
```bash
node scripts/tts.js "Welcome to our quarterly earnings presentation. Today we'll discuss our growth metrics and future plans." --voice Charon --output voiceover
```
- Best for: Corporate content, presentations, formal announcements
- Voice: `Charon` (deep, authoritative)
- Use when: Professional, serious tone required

### Workflow 6: Custom Output Directory
```bash
node scripts/tts.js "Save to specific folder." --output-dir ./my-projects/podcasts/ --output episode1
```
- Best for: Organized project structures
- Directory created automatically if it doesn't exist
- Output: