Gemini 2.5 Flash TTS テキスト読み上げ
curl --request POST \
--url https://api.highwayapi.ai/v3/gemini-2.5-flash-tts \
--header 'Authorization: <authorization>' \
--header 'Content-Type: <content-type>' \
--data '
{
"contents": {
"role": "<string>",
"parts": {
"text": "<string>"
}
},
"generation_config": {
"temperature": 123,
"speech_config": {
"voice_config": {
"prebuilt_voice_config": {
"voice_name": "<string>"
}
},
"language_code": "<string>",
"multi_speaker_voice_config": {
"speaker_voice_configs": [
{
"speaker": "<string>",
"voice_config": {
"prebuilt_voice_config": {
"voice_name": "<string>"
}
}
}
]
}
}
}
}
'import requests
url = "https://api.highwayapi.ai/v3/gemini-2.5-flash-tts"
payload = {
"contents": {
"role": "<string>",
"parts": { "text": "<string>" }
},
"generation_config": {
"temperature": 123,
"speech_config": {
"voice_config": { "prebuilt_voice_config": { "voice_name": "<string>" } },
"language_code": "<string>",
"multi_speaker_voice_config": { "speaker_voice_configs": [
{
"speaker": "<string>",
"voice_config": { "prebuilt_voice_config": { "voice_name": "<string>" } }
}
] }
}
}
}
headers = {
"Content-Type": "<content-type>",
"Authorization": "<authorization>"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'Content-Type': '<content-type>', Authorization: '<authorization>'},
body: JSON.stringify({
contents: {role: '<string>', parts: {text: '<string>'}},
generation_config: {
temperature: 123,
speech_config: {
voice_config: {prebuilt_voice_config: {voice_name: '<string>'}},
language_code: '<string>',
multi_speaker_voice_config: {
speaker_voice_configs: [
{
speaker: '<string>',
voice_config: {prebuilt_voice_config: {voice_name: '<string>'}}
}
]
}
}
}
})
};
fetch('https://api.highwayapi.ai/v3/gemini-2.5-flash-tts', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.highwayapi.ai/v3/gemini-2.5-flash-tts",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'contents' => [
'role' => '<string>',
'parts' => [
'text' => '<string>'
]
],
'generation_config' => [
'temperature' => 123,
'speech_config' => [
'voice_config' => [
'prebuilt_voice_config' => [
'voice_name' => '<string>'
]
],
'language_code' => '<string>',
'multi_speaker_voice_config' => [
'speaker_voice_configs' => [
[
'speaker' => '<string>',
'voice_config' => [
'prebuilt_voice_config' => [
'voice_name' => '<string>'
]
]
]
]
]
]
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: <authorization>",
"Content-Type: <content-type>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.highwayapi.ai/v3/gemini-2.5-flash-tts"
payload := strings.NewReader("{\n \"contents\": {\n \"role\": \"<string>\",\n \"parts\": {\n \"text\": \"<string>\"\n }\n },\n \"generation_config\": {\n \"temperature\": 123,\n \"speech_config\": {\n \"voice_config\": {\n \"prebuilt_voice_config\": {\n \"voice_name\": \"<string>\"\n }\n },\n \"language_code\": \"<string>\",\n \"multi_speaker_voice_config\": {\n \"speaker_voice_configs\": [\n {\n \"speaker\": \"<string>\",\n \"voice_config\": {\n \"prebuilt_voice_config\": {\n \"voice_name\": \"<string>\"\n }\n }\n }\n ]\n }\n }\n }\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Content-Type", "<content-type>")
req.Header.Add("Authorization", "<authorization>")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.highwayapi.ai/v3/gemini-2.5-flash-tts")
.header("Content-Type", "<content-type>")
.header("Authorization", "<authorization>")
.body("{\n \"contents\": {\n \"role\": \"<string>\",\n \"parts\": {\n \"text\": \"<string>\"\n }\n },\n \"generation_config\": {\n \"temperature\": 123,\n \"speech_config\": {\n \"voice_config\": {\n \"prebuilt_voice_config\": {\n \"voice_name\": \"<string>\"\n }\n },\n \"language_code\": \"<string>\",\n \"multi_speaker_voice_config\": {\n \"speaker_voice_configs\": [\n {\n \"speaker\": \"<string>\",\n \"voice_config\": {\n \"prebuilt_voice_config\": {\n \"voice_name\": \"<string>\"\n }\n }\n }\n ]\n }\n }\n }\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.highwayapi.ai/v3/gemini-2.5-flash-tts")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Content-Type"] = '<content-type>'
request["Authorization"] = '<authorization>'
request.body = "{\n \"contents\": {\n \"role\": \"<string>\",\n \"parts\": {\n \"text\": \"<string>\"\n }\n },\n \"generation_config\": {\n \"temperature\": 123,\n \"speech_config\": {\n \"voice_config\": {\n \"prebuilt_voice_config\": {\n \"voice_name\": \"<string>\"\n }\n },\n \"language_code\": \"<string>\",\n \"multi_speaker_voice_config\": {\n \"speaker_voice_configs\": [\n {\n \"speaker\": \"<string>\",\n \"voice_config\": {\n \"prebuilt_voice_config\": {\n \"voice_name\": \"<string>\"\n }\n }\n }\n ]\n }\n }\n }\n}"
response = http.request(request)
puts response.read_body{
"audioContent": "<string>",
"usageMetadata": {
"totalTokenCount": 123,
"promptTokenCount": 123,
"candidatesTokenCount": 123
}
}音声
Gemini 2.5 Flash TTS テキスト読み上げ
POST
/
v3
/
gemini-2.5-flash-tts
Gemini 2.5 Flash TTS テキスト読み上げ
curl --request POST \
--url https://api.highwayapi.ai/v3/gemini-2.5-flash-tts \
--header 'Authorization: <authorization>' \
--header 'Content-Type: <content-type>' \
--data '
{
"contents": {
"role": "<string>",
"parts": {
"text": "<string>"
}
},
"generation_config": {
"temperature": 123,
"speech_config": {
"voice_config": {
"prebuilt_voice_config": {
"voice_name": "<string>"
}
},
"language_code": "<string>",
"multi_speaker_voice_config": {
"speaker_voice_configs": [
{
"speaker": "<string>",
"voice_config": {
"prebuilt_voice_config": {
"voice_name": "<string>"
}
}
}
]
}
}
}
}
'import requests
url = "https://api.highwayapi.ai/v3/gemini-2.5-flash-tts"
payload = {
"contents": {
"role": "<string>",
"parts": { "text": "<string>" }
},
"generation_config": {
"temperature": 123,
"speech_config": {
"voice_config": { "prebuilt_voice_config": { "voice_name": "<string>" } },
"language_code": "<string>",
"multi_speaker_voice_config": { "speaker_voice_configs": [
{
"speaker": "<string>",
"voice_config": { "prebuilt_voice_config": { "voice_name": "<string>" } }
}
] }
}
}
}
headers = {
"Content-Type": "<content-type>",
"Authorization": "<authorization>"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'Content-Type': '<content-type>', Authorization: '<authorization>'},
body: JSON.stringify({
contents: {role: '<string>', parts: {text: '<string>'}},
generation_config: {
temperature: 123,
speech_config: {
voice_config: {prebuilt_voice_config: {voice_name: '<string>'}},
language_code: '<string>',
multi_speaker_voice_config: {
speaker_voice_configs: [
{
speaker: '<string>',
voice_config: {prebuilt_voice_config: {voice_name: '<string>'}}
}
]
}
}
}
})
};
fetch('https://api.highwayapi.ai/v3/gemini-2.5-flash-tts', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.highwayapi.ai/v3/gemini-2.5-flash-tts",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'contents' => [
'role' => '<string>',
'parts' => [
'text' => '<string>'
]
],
'generation_config' => [
'temperature' => 123,
'speech_config' => [
'voice_config' => [
'prebuilt_voice_config' => [
'voice_name' => '<string>'
]
],
'language_code' => '<string>',
'multi_speaker_voice_config' => [
'speaker_voice_configs' => [
[
'speaker' => '<string>',
'voice_config' => [
'prebuilt_voice_config' => [
'voice_name' => '<string>'
]
]
]
]
]
]
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: <authorization>",
"Content-Type: <content-type>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.highwayapi.ai/v3/gemini-2.5-flash-tts"
payload := strings.NewReader("{\n \"contents\": {\n \"role\": \"<string>\",\n \"parts\": {\n \"text\": \"<string>\"\n }\n },\n \"generation_config\": {\n \"temperature\": 123,\n \"speech_config\": {\n \"voice_config\": {\n \"prebuilt_voice_config\": {\n \"voice_name\": \"<string>\"\n }\n },\n \"language_code\": \"<string>\",\n \"multi_speaker_voice_config\": {\n \"speaker_voice_configs\": [\n {\n \"speaker\": \"<string>\",\n \"voice_config\": {\n \"prebuilt_voice_config\": {\n \"voice_name\": \"<string>\"\n }\n }\n }\n ]\n }\n }\n }\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Content-Type", "<content-type>")
req.Header.Add("Authorization", "<authorization>")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.highwayapi.ai/v3/gemini-2.5-flash-tts")
.header("Content-Type", "<content-type>")
.header("Authorization", "<authorization>")
.body("{\n \"contents\": {\n \"role\": \"<string>\",\n \"parts\": {\n \"text\": \"<string>\"\n }\n },\n \"generation_config\": {\n \"temperature\": 123,\n \"speech_config\": {\n \"voice_config\": {\n \"prebuilt_voice_config\": {\n \"voice_name\": \"<string>\"\n }\n },\n \"language_code\": \"<string>\",\n \"multi_speaker_voice_config\": {\n \"speaker_voice_configs\": [\n {\n \"speaker\": \"<string>\",\n \"voice_config\": {\n \"prebuilt_voice_config\": {\n \"voice_name\": \"<string>\"\n }\n }\n }\n ]\n }\n }\n }\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.highwayapi.ai/v3/gemini-2.5-flash-tts")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Content-Type"] = '<content-type>'
request["Authorization"] = '<authorization>'
request.body = "{\n \"contents\": {\n \"role\": \"<string>\",\n \"parts\": {\n \"text\": \"<string>\"\n }\n },\n \"generation_config\": {\n \"temperature\": 123,\n \"speech_config\": {\n \"voice_config\": {\n \"prebuilt_voice_config\": {\n \"voice_name\": \"<string>\"\n }\n },\n \"language_code\": \"<string>\",\n \"multi_speaker_voice_config\": {\n \"speaker_voice_configs\": [\n {\n \"speaker\": \"<string>\",\n \"voice_config\": {\n \"prebuilt_voice_config\": {\n \"voice_name\": \"<string>\"\n }\n }\n }\n ]\n }\n }\n }\n}"
response = http.request(request)
puts response.read_body{
"audioContent": "<string>",
"usageMetadata": {
"totalTokenCount": 123,
"promptTokenCount": 123,
"candidatesTokenCount": 123
}
}Vertex AI generateContent インターフェースに基づいてテキストを音声に変換します。リクエストボディの形式は公式 Vertex AI API と完全に一致しています。同期(単一リクエスト・単一レスポンス)とストリーミング(単一リクエスト・ストリーミングレスポンス)の 2 つのモードに対応しています。出力は LINEAR16 PCM 形式(24kHz、モノラル、16-bit signed little-endian)で、WAV ヘッダーは含まれません。
リクエストヘッダー
string
必須
列挙値:
application/jsonstring
必須
Bearer 認証形式: Bearer {{API Key}}。
リクエストボディ
object
必須
非表示 プロパティ
非表示 プロパティ
string
デフォルト:"user"
必須
ロール。user に固定選択可能な値:
userobject
必須
非表示 プロパティ
非表示 プロパティ
string
必須
音声に合成するテキスト内容。Vertex AI API では、プロンプトとテキストを 1 つのフィールドに結合します。形式は ’: ’ です。例: ‘Say the following in a curious way: OK, so… tell me about this AI thing.’。合計サイズは最大 8000 バイトで、655 秒を超える音声は切り捨てられます。インラインマークアップタグに対応しています:[sigh]、[laughing]、[uhm]、[sarcasm]、[robotic]、[shouting]、[whispering]、[extremely fast]、[short pause]、[medium pause]、[long pause]長さ制限:0 - 8000
object
必須
非表示 プロパティ
非表示 プロパティ
number
デフォルト:2
温度パラメータ。音声生成のランダム性と創造性を制御します。値が高いほど創造的で多様になり、値が低いほど予測しやすく集中した結果になります。有効範囲は (0.0, 2.0]、推奨値は 2.0 です値の範囲:[0, 2]
object
必須
非表示 プロパティ
非表示 プロパティ
object
単一話者の音声設定。multi_speaker_voice_config とのいずれかを選択します
非表示 プロパティ
非表示 プロパティ
object
非表示 プロパティ
非表示 プロパティ
string
プリセット音声名(大文字・小文字を区別しません)。選択可能な 30 種類の音声(男性・女性の声を含む)選択可能な値:
Achernar, Achird, Algenib, Algieba, Alnilam, Aoede, Autonoe, Callirrhoe, Charon, Despina, Enceladus, Erinome, Fenrir, Gacrux, Iapetus, Kore, Laomedeia, Leda, Orus, Pulcherrima, Puck, Rasalgethi, Sadachbia, Sadaltager, Schedar, Sulafat, Umbriel, Vindemiatrix, Zephyr, Zubenelgenubistring
必須
言語コード(BCP-47 形式、大文字・小文字を区別しません)。GA 言語:ar-EG, bn-BD, nl-NL, en-IN, en-US, fr-FR, de-DE, hi-IN, id-ID, it-IT, ja-JP, ko-KR, mr-IN, pl-PL, pt-BR, ro-RO, ru-RU, es-ES, ta-IN, te-IN, th-TH, tr-TR, uk-UA, vi-VN。Preview 言語には cmn-CN(中国語普通話)など 63 種類が含まれます選択可能な値:
af-ZA, am-ET, ar-001, ar-EG, az-AZ, be-BY, bg-BG, bn-BD, ca-ES, ceb-PH, cmn-CN, cmn-TW, cs-CZ, da-DK, de-DE, el-GR, en-AU, en-GB, en-IN, en-US, es-419, es-ES, es-MX, et-EE, eu-ES, fa-IR, fi-FI, fil-PH, fr-CA, fr-FR, gl-ES, gu-IN, he-IL, hi-IN, hr-HR, ht-HT, hu-HU, hy-AM, id-ID, is-IS, it-IT, ja-JP, jv-JV, ka-GE, kn-IN, ko-KR, kok-IN, la-VA, lb-LU, lo-LA, lt-LT, lv-LV, mai-IN, mg-MG, mk-MK, ml-IN, mn-MN, mr-IN, ms-MY, my-MM, nb-NO, ne-NP, nl-NL, nn-NO, or-IN, pa-IN, pl-PL, ps-AF, pt-BR, pt-PT, ro-RO, ru-RU, sd-IN, si-LK, sk-SK, sl-SI, sq-AL, sr-RS, sv-SE, sw-KE, ta-IN, te-IN, th-TH, tr-TR, uk-UA, ur-PK, vi-VNobject
複数話者の音声設定。voice_config とのいずれかを選択します。注意:gemini-2.5-flash-lite-preview-tts は複数話者合成に対応していません
非表示 プロパティ
非表示 プロパティ
object[]
話者音声設定のリスト
非表示 プロパティ
非表示 プロパティ
string
必須
話者の別名。英数字のみで構成する必要があり、スペースは使用できません。contents.parts.text 内の話者識別子と一致している必要があります
object
必須
非表示 プロパティ
非表示 プロパティ
object
非表示 プロパティ
非表示 プロパティ
string
プリセット音声名(大文字・小文字を区別しません)。選択可能な 30 種類の音声(男性・女性の声を含む)選択可能な値:
Achernar, Achird, Algenib, Algieba, Alnilam, Aoede, Autonoe, Callirrhoe, Charon, Despina, Enceladus, Erinome, Fenrir, Gacrux, Iapetus, Kore, Laomedeia, Leda, Orus, Pulcherrima, Puck, Rasalgethi, Sadachbia, Sadaltager, Schedar, Sulafat, Umbriel, Vindemiatrix, Zephyr, Zubenelgenubiレスポンス情報
string
Base64 エンコードされた音声コンテンツ。形式は LINEAR16 PCM(24kHz、モノラル、16-bit signed little-endian)で、WAV ヘッダーは含まれません。クライアントは ffmpeg を使用して変換できます:ffmpeg -f s16le -ar 24k -ac 1 -i input.raw output.wav
⌘I