語音生成 (文字轉語音)

Gemini API 可使用原生文字轉語音 (TTS) 生成功能，將文字輸入內容轉換為單一或多位說話者的音訊。文字轉語音 (TTS) 生成功能可控，也就是說，你可以使用自然語言建構互動內容，並引導音訊的風格、口音、速度和語氣。

TTS 功能與透過 Live API 提供的語音生成功能不同，後者適用於互動式非結構化音訊，以及多模態輸入和輸出。Live API 擅長處理動態對話情境，而 Gemini API 的 TTS 則適用於需要精確朗讀文字，並細微控制風格和聲音的情境，例如生成 Podcast 或有聲書。

本指南說明如何從文字生成單一說話者和多位說話者的音訊。

事前準備

請務必使用具有原生文字轉語音 (TTS) 功能的 Gemini 2.5 模型變體，如「支援的模型」一節所述。為獲得最佳結果，請考慮哪種模型最適合您的特定用途。

建議您先在 AI Studio 中測試 Gemini 2.5 TTS 模型，再開始建構。

單一說話者文字轉語音

如要將文字轉換為單一說話者音訊，請將回應模式設為「audio」，並傳遞 VoiceConfig 已設定的 SpeechConfig 物件。你必須從預先建構的輸出聲音中選擇聲音名稱。

這個範例會將模型輸出的音訊儲存為 Wave 檔案：

Python

from google import genai
from google.genai import types
import wave

# Set up the wave file to save the output:
def wave_file(filename, pcm, channels=1, rate=24000, sample_width=2):
   with wave.open(filename, "wb") as wf:
      wf.setnchannels(channels)
      wf.setsampwidth(sample_width)
      wf.setframerate(rate)
      wf.writeframes(pcm)

client = genai.Client()

response = client.models.generate_content(
   model="gemini-2.5-flash-preview-tts",
   contents="Say cheerfully: Have a wonderful day!",
   config=types.GenerateContentConfig(
      response_modalities=["AUDIO"],
      speech_config=types.SpeechConfig(
         voice_config=types.VoiceConfig(
            prebuilt_voice_config=types.PrebuiltVoiceConfig(
               voice_name='Kore',
            )
         )
      ),
   )
)

data = response.candidates[0].content.parts[0].inline_data.data

file_name='out.wav'
wave_file(file_name, data) # Saves the file to current directory

JavaScript

import {GoogleGenAI} from '@google/genai';
import wav from 'wav';

async function saveWaveFile(
   filename,
   pcmData,
   channels = 1,
   rate = 24000,
   sampleWidth = 2,
) {
   return new Promise((resolve, reject) => {
      const writer = new wav.FileWriter(filename, {
            channels,
            sampleRate: rate,
            bitDepth: sampleWidth * 8,
      });

      writer.on('finish', resolve);
      writer.on('error', reject);

      writer.write(pcmData);
      writer.end();
   });
}

async function main() {
   const ai = new GoogleGenAI({});

   const response = await ai.models.generateContent({
      model: "gemini-2.5-flash-preview-tts",
      contents: [{ parts: [{ text: 'Say cheerfully: Have a wonderful day!' }] }],
      config: {
            responseModalities: ['AUDIO'],
            speechConfig: {
               voiceConfig: {
                  prebuiltVoiceConfig: { voiceName: 'Kore' },
               },
            },
      },
   });

   const data = response.candidates?.[0]?.content?.parts?.[0]?.inlineData?.data;
   const audioBuffer = Buffer.from(data, 'base64');

   const fileName = 'out.wav';
   await saveWaveFile(fileName, audioBuffer);
}
await main();

REST

curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash-preview-tts:generateContent" \
  -H "x-goog-api-key: $GEMINI_API_KEY" \
  -X POST \
  -H "Content-Type: application/json" \
  -d '{
        "contents": [{
          "parts":[{
            "text": "Say cheerfully: Have a wonderful day!"
          }]
        }],
        "generationConfig": {
          "responseModalities": ["AUDIO"],
          "speechConfig": {
            "voiceConfig": {
              "prebuiltVoiceConfig": {
                "voiceName": "Kore"
              }
            }
          }
        },
        "model": "gemini-2.5-flash-preview-tts",
    }' | jq -r '.candidates[0].content.parts[0].inlineData.data' | \
          base64 --decode >out.pcm
# You may need to install ffmpeg.
ffmpeg -f s16le -ar 24000 -ac 1 -i out.pcm out.wav

多位說話者文字轉語音

如要使用多個揚聲器播放音訊，您需要 MultiSpeakerVoiceConfig 物件，並將每個揚聲器 (最多 2 個) 設為 SpeakerVoiceConfig。您必須使用與提示中相同的名稱定義每個 speaker：

Python

from google import genai
from google.genai import types
import wave

# Set up the wave file to save the output:
def wave_file(filename, pcm, channels=1, rate=24000, sample_width=2):
   with wave.open(filename, "wb") as wf:
      wf.setnchannels(channels)
      wf.setsampwidth(sample_width)
      wf.setframerate(rate)
      wf.writeframes(pcm)

client = genai.Client()

prompt = """TTS the following conversation between Joe and Jane:
         Joe: How's it going today Jane?
         Jane: Not too bad, how about you?"""

response = client.models.generate_content(
   model="gemini-2.5-flash-preview-tts",
   contents=prompt,
   config=types.GenerateContentConfig(
      response_modalities=["AUDIO"],
      speech_config=types.SpeechConfig(
         multi_speaker_voice_config=types.MultiSpeakerVoiceConfig(
            speaker_voice_configs=[
               types.SpeakerVoiceConfig(
                  speaker='Joe',
                  voice_config=types.VoiceConfig(
                     prebuilt_voice_config=types.PrebuiltVoiceConfig(
                        voice_name='Kore',
                     )
                  )
               ),
               types.SpeakerVoiceConfig(
                  speaker='Jane',
                  voice_config=types.VoiceConfig(
                     prebuilt_voice_config=types.PrebuiltVoiceConfig(
                        voice_name='Puck',
                     )
                  )
               ),
            ]
         )
      )
   )
)

data = response.candidates[0].content.parts[0].inline_data.data

file_name='out.wav'
wave_file(file_name, data) # Saves the file to current directory

JavaScript

import {GoogleGenAI} from '@google/genai';
import wav from 'wav';

async function saveWaveFile(
   filename,
   pcmData,
   channels = 1,
   rate = 24000,
   sampleWidth = 2,
) {
   return new Promise((resolve, reject) => {
      const writer = new wav.FileWriter(filename, {
            channels,
            sampleRate: rate,
            bitDepth: sampleWidth * 8,
      });

      writer.on('finish', resolve);
      writer.on('error', reject);

      writer.write(pcmData);
      writer.end();
   });
}

async function main() {
   const ai = new GoogleGenAI({});

   const prompt = `TTS the following conversation between Joe and Jane:
         Joe: How's it going today Jane?
         Jane: Not too bad, how about you?`;

   const response = await ai.models.generateContent({
      model: "gemini-2.5-flash-preview-tts",
      contents: [{ parts: [{ text: prompt }] }],
      config: {
            responseModalities: ['AUDIO'],
            speechConfig: {
               multiSpeakerVoiceConfig: {
                  speakerVoiceConfigs: [
                        {
                           speaker: 'Joe',
                           voiceConfig: {
                              prebuiltVoiceConfig: { voiceName: 'Kore' }
                           }
                        },
                        {
                           speaker: 'Jane',
                           voiceConfig: {
                              prebuiltVoiceConfig: { voiceName: 'Puck' }
                           }
                        }
                  ]
               }
            }
      }
   });

   const data = response.candidates?.[0]?.content?.parts?.[0]?.inlineData?.data;
   const audioBuffer = Buffer.from(data, 'base64');

   const fileName = 'out.wav';
   await saveWaveFile(fileName, audioBuffer);
}

await main();

REST

curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash-preview-tts:generateContent" \
  -H "x-goog-api-key: $GEMINI_API_KEY" \
  -X POST \
  -H "Content-Type: application/json" \
  -d '{
  "contents": [{
    "parts":[{
      "text": "TTS the following conversation between Joe and Jane:
                Joe: Hows it going today Jane?
                Jane: Not too bad, how about you?"
    }]
  }],
  "generationConfig": {
    "responseModalities": ["AUDIO"],
    "speechConfig": {
      "multiSpeakerVoiceConfig": {
        "speakerVoiceConfigs": [{
            "speaker": "Joe",
            "voiceConfig": {
              "prebuiltVoiceConfig": {
                "voiceName": "Kore"
              }
            }
          }, {
            "speaker": "Jane",
            "voiceConfig": {
              "prebuiltVoiceConfig": {
                "voiceName": "Puck"
              }
            }
          }]
      }
    }
  },
  "model": "gemini-2.5-flash-preview-tts",
}' | jq -r '.candidates[0].content.parts[0].inlineData.data' | \
    base64 --decode > out.pcm
# You may need to install ffmpeg.
ffmpeg -f s16le -ar 24000 -ac 1 -i out.pcm out.wav

使用提示控制語音風格

你可以使用自然語言提示控制單一和多位說話者的文字轉語音風格、語氣、口音和速度。舉例來說，在單一說話者的提示中，你可以說：

Say in an spooky whisper:
"By the pricking of my thumbs...
Something wicked this way comes"

在多位說話者的提示中，請提供每位說話者的姓名和相應的轉錄稿。你也可以個別為每位揚聲器提供指引：

Make Speaker1 sound tired and bored, and Speaker2 sound excited and happy:

Speaker1: So... what's on the agenda today?
Speaker2: You're never going to guess!

試著使用符合你想傳達風格或情緒的語音選項，進一步強調重點。舉例來說，在先前的提示中，土衛二的氣音可能強調「疲倦」和「無聊」，而帕克的歡快語氣則可襯托「興奮」和「快樂」。

正在生成轉換為語音的提示

文字轉語音模型只會輸出音訊，但您可以先使用其他模型生成轉錄稿，然後將轉錄稿傳遞至文字轉語音模型，讓模型朗讀內容。

Python

from google import genai
from google.genai import types

client = genai.Client()

transcript = client.models.generate_content(
   model="gemini-2.0-flash",
   contents="""Generate a short transcript around 100 words that reads
            like it was clipped from a podcast by excited herpetologists.
            The hosts names are Dr. Anya and Liam.""").text

response = client.models.generate_content(
   model="gemini-2.5-flash-preview-tts",
   contents=transcript,
   config=types.GenerateContentConfig(
      response_modalities=["AUDIO"],
      speech_config=types.SpeechConfig(
         multi_speaker_voice_config=types.MultiSpeakerVoiceConfig(
            speaker_voice_configs=[
               types.SpeakerVoiceConfig(
                  speaker='Dr. Anya',
                  voice_config=types.VoiceConfig(
                     prebuilt_voice_config=types.PrebuiltVoiceConfig(
                        voice_name='Kore',
                     )
                  )
               ),
               types.SpeakerVoiceConfig(
                  speaker='Liam',
                  voice_config=types.VoiceConfig(
                     prebuilt_voice_config=types.PrebuiltVoiceConfig(
                        voice_name='Puck',
                     )
                  )
               ),
            ]
         )
      )
   )
)

# ...Code to stream or save the output

JavaScript

import { GoogleGenAI } from "@google/genai";

const ai = new GoogleGenAI({});

async function main() {

const transcript = await ai.models.generateContent({
   model: "gemini-2.0-flash",
   contents: "Generate a short transcript around 100 words that reads like it was clipped from a podcast by excited herpetologists. The hosts names are Dr. Anya and Liam.",
   })

const response = await ai.models.generateContent({
   model: "gemini-2.5-flash-preview-tts",
   contents: transcript,
   config: {
      responseModalities: ['AUDIO'],
      speechConfig: {
         multiSpeakerVoiceConfig: {
            speakerVoiceConfigs: [
                   {
                     speaker: "Dr. Anya",
                     voiceConfig: {
                        prebuiltVoiceConfig: {voiceName: "Kore"},
                     }
                  },
                  {
                     speaker: "Liam",
                     voiceConfig: {
                        prebuiltVoiceConfig: {voiceName: "Puck"},
                    }
                  }
                ]
              }
            }
      }
  });
}
// ..JavaScript code for exporting .wav file for output audio

await main();

語音選項

TTS 模型支援 voice_name 欄位中的下列 30 個語音選項：

Zephyr - Bright Puck - Upbeat Charon - 獲得了實用的資訊
韓國 - 公司 Fenrir - 興奮 Leda -- 青春
Orus -- Firm Aoede - Breezy Callirrhoe - 隨和
Autonoe - Bright Enceladus -- Breathy Iapetus -- Clear
Umbriel -- Easy-going Algieba - 平滑 Despina -- Smooth
Erinome -- Clear Algenib - Gravelly Rasalgethi - 實用資訊
Laomedeia - Upbeat Achernar -- Soft Alnilam - Firm
Schedar -- Even Gacrux - 成人內容 Pulcherrima - 積極
Achird -- Friendly Zubenelgenubi - Casual Vindemiatrix -- Gentle
Sadachbia -- Lively Sadaltager - 知識豐富 Sulafat -- 溫暖

你可以在 AI Studio 中試聽所有語音選項。

支援的語言

文字轉語音模型會自動偵測輸入語言。支援下列 24 種語言：

語言 BCP-47 代碼 語言 BCP-47 代碼
阿拉伯文 (埃及) ar-EG 德文 (德國) de-DE
英文 (美國) en-US 西班牙文 (美國) es-US
法文 (法國) fr-FR 北印度文 (印度) hi-IN
印尼文 (印尼) id-ID 義大利文 (義大利) it-IT
日文 (日本) ja-JP 韓文 (韓國) ko-KR
葡萄牙文 (巴西) pt-BR 俄文 (俄羅斯) ru-RU
荷蘭文 (荷蘭) nl-NL 波蘭文 (波蘭) pl-PL
泰文 (泰國) th-TH 土耳其文 (土耳其) tr-TR
越南文 (越南) vi-VN 羅馬尼亞文 (羅馬尼亞) ro-RO
烏克蘭文 (烏克蘭) uk-UA 孟加拉文 (孟加拉) bn-BD
英文 (印度) en-IN和hi-IN套裝組合 馬拉地文 (印度) mr-IN
泰米爾文 (印度) ta-IN 泰盧固文 (印度) te-IN

支援的模型

模型 單一說話者 多音箱
Gemini 2.5 Flash 預先發布版 TTS ✔️ ✔️
Gemini 2.5 Pro 預先發布版 TTS ✔️ ✔️

限制

  • TTS 模型只能接收文字輸入內容，並生成音訊輸出內容。
  • TTS 工作階段的脈絡窗口限制為 32,000 個權杖。
  • 如需語言支援資訊，請參閱「語言」一節。

後續步驟