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speech-build

Generate and transcribe speech using Google's Gemini-TTS and Chirp 3 models. Supports Text-to-Speech (Single/Multi-speaker), Instant Custom Voice, and Speech-to-Text (Transcription/Diarization).

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SKILL.md
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Speech Skill (TTS & STT)

Use this skill to implement audio generation and transcription workflows using the google-genai and google-cloud-speech SDKs.

Quick Start Setup

from google import genai
from google.genai import types
# For STT: from google.cloud import speech_v2

client = genai.Client()

Reference Materials

  • Text-to-Speech (TTS): Gemini-TTS, Chirp 3 HD, Instant Custom Voice.
  • Speech-to-Text (STT): Chirp 3 Transcription, Diarization, Streaming.
  • Voices & Locales: Available voices (Aoede, Puck...) and languages.
  • Prompting Guide: How to control style, accent, and pacing in Gemini-TTS.
  • Source Code: Deep inspection of SDK internals.

Common Workflows

1. Generate Speech (Gemini-TTS)

response = client.models.generate_content(
    model="gemini-2.5-flash-preview-tts",
    contents="Hello, world!",
    config=types.GenerateContentConfig(
        response_modalities=["AUDIO"],
        speech_config=types.SpeechConfig(
            voice_config=types.VoiceConfig(
                prebuilt_voice_config=types.PrebuiltVoiceConfig(voice_name='Kore')
            )
        )
    )
)

2. Transcribe Audio (Chirp 3)

# Requires google-cloud-speech
from google.cloud import speech_v2
# ... (See stt.md for full setup)
response = speech_client.recognize(...)
Repository

cnemri/google-genai-skills

Path

skills/speech-build/SKILL.md

Revision

7277476

Last updated
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