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Speech 2.8 Turbo

minimax /

MiniMax Speech 2.8 Turbo is a high-definition text-to-speech model with natural and expressive voice synthesis. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

text-to-audio
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README

MiniMax Speech 2.8 Turbo

MiniMax Speech 2.8 Turbo is a high-quality text-to-speech model that transforms written text into natural, expressive audio. With support for multiple voice presets, emotional tones, and fine-grained audio controls, it delivers broadcast-ready speech synthesis for any application.

Why Choose This?

  • Rich voice library Choose from 17+ preset voices spanning different genders, ages, and speaking styles — or use your own custom-trained voice.

  • Expressive interjections Add natural human sounds like (laughs), (sighs), (coughs), (gasps), and more directly in your text for lifelike delivery.

  • Emotion control Set the emotional tone of the speech — happy, calm, or other moods — to match your content.

  • Pronunciation customization Define custom pronunciations for brand names, acronyms, or specialized terms using the pronunciation dictionary.

  • Full audio control Fine-tune speed, volume, pitch, sample rate, bitrate, channel, and output format for production-ready results.

Parameters

ParameterRequiredDescription
textYesThe text to convert to speech. Supports interjections like (laughs), (sighs), (coughs)
voice_idYesVoice preset or custom voice ID (see Available Voices below)
speedNoSpeech speed multiplier (default: 1)
volumeNoVolume level (default: 1)
pitchNoPitch adjustment (default: 0)
emotionNoEmotional tone: happy, calm, etc.
pronunciation_dictNoCustom pronunciation mappings (e.g., Omg/Oh my god)
english_normalizationNoImproves number-reading performance in English text
sample_rateNoAudio sample rate
bitrateNoAudio bitrate
channelNoAudio channel (mono/stereo)
formatNoOutput format
language_boostNoBoost specific language recognition

Available Voices

Wise_Woman, Friendly_Person, Inspirational_girl, Deep_Voice_Man, Calm_Woman, Casual_Guy, Lively_Girl, Patient_Man, Young_Knight, Determined_Man, Lovely_Girl, Decent_Boy, Imposing_Manner, Elegant_Man, Abbess, Sweet_Girl_2, Exuberant_Girl

You can also use a custom voice ID trained via MiniMax Voice Clone.

Supported Interjections

(laughs), (chuckle), (coughs), (clear-throat), (groans), (breath), (pant), (inhale), (exhale), (gasps), (sniffs), (sighs), (snorts), (burps), (lip-smacking), (humming), (hissing), (emm), (whistles), (sneezes), (crying), (applause)

How to Use

  1. Enter your text — write or paste the content you want to convert to speech.
  2. Select voice_id — choose a preset voice or enter your custom voice ID.
  3. Adjust speech settings (optional) — modify speed, volume, and pitch as needed.
  4. Set emotion (optional) — select the emotional tone for the delivery.
  5. Configure audio output (optional) — choose sample rate, bitrate, channel, and format.
  6. Run — submit and download your audio file.

Pricing

MetricCost
Per 1,000 characters$0.06

Best Use Cases

  • Audiobook Production — Convert manuscripts into natural-sounding narration with expressive voices.
  • Video Voiceovers — Generate professional voiceovers for YouTube, ads, or explainer videos.
  • Podcasts & Broadcasting — Create consistent voice content without recording equipment.
  • E-learning & Training — Produce clear, engaging audio for educational materials.
  • Accessibility — Convert written content to audio for visually impaired users.
  • Game & App Development — Add character voices and UI narration to interactive experiences.

Pro Tips

  • Use interjections sparingly for natural effect — too many can sound unnatural.
  • Match voice_id to your content: use "Deep_Voice_Man" or "Imposing_Manner" for authoritative content, "Lively_Girl" or "Casual_Guy" for friendly content.
  • Enable english_normalization when your text contains numbers, dates, or currencies.
  • Use pronunciation_dict for consistent handling of brand names or technical terms.
  • Start with default speed/pitch settings, then adjust based on your specific use case.

Notes

  • Text length affects processing time and cost — longer texts take more time.
  • For custom voices, train your voice model first via Voice Clone.
  • Interjections must be written in parentheses exactly as listed to be recognized.
참고:이 웹사이트는 제3자가 제공하는 AI 모델을 사용합니다.

Speech 2.8 Turbo API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/minimax/speech-2.8-turbo with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Speech 2.8 Turbo below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "text": "A clear example input",
    "voice_id": "Wise_Woman",
    "speed": 1,
    "volume": 1,
    "pitch": 0,
    "emotion": "happy",
    "english_normalization": false,
    "sample_rate": 8000,
    "bitrate": 32000,
    "channel": "1",
    "format": "mp3",
    "language_boost": "Chinese"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/minimax/speech-2.8-turbo" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d "$REQUEST_BODY")

TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "$TASK" | jq -r '.urls.get // empty')
if [ -z "$RESULT_URL" ]; then
  RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"
fi

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body "$RESULT_URL" \
    -H "Authorization: Bearer $WAVESPEED_API_KEY")
  RESULT=$(printf '%s' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$STATUS" in
    completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "$STATUS" >&2; exit 1 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/minimax/speech-2.8-turbo";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');

async function requestJson(url, options = {}) {
  const response = await fetch(url, options);
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "text": "A clear example input",
        "voice_id": "Wise_Woman",
        "speed": 1,
        "volume": 1,
        "pitch": 0,
        "emotion": "happy",
        "english_normalization": false,
        "sample_rate": 8000,
        "bitrate": 32000,
        "channel": "1",
        "format": "mp3",
        "language_boost": "Chinese"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;

// 2. Poll until the prediction finishes.
while (true) {
  const resultBody = await requestJson(resultUrl, {
    headers: { "Authorization": `Bearer ${apiKey}` },
  });
  const result = resultBody.data ?? resultBody;
  if (result.status === "completed") {
    console.log(result.outputs);
    break;
  }
  if (["failed", "cancelled", "timeout"].includes(result.status)) throw new Error(JSON.stringify(result));
  if (!["created", "processing"].includes(result.status)) throw new Error("Unexpected status: " + result.status);
  await new Promise(resolve => setTimeout(resolve, 2000));
}
Python example
import json
import os
import time
from urllib.request import Request, urlopen

api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
    "text": "A clear example input",
    "voice_id": "Wise_Woman",
    "speed": 1,
    "volume": 1,
    "pitch": 0,
    "emotion": "happy",
    "english_normalization": False,
    "sample_rate": 8000,
    "bitrate": 32000,
    "channel": "1",
    "format": "mp3",
    "language_boost": "Chinese"
}

def request_json(url, data=None):
    request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
    with urlopen(request) as response:
        return json.load(response)

# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/minimax/speech-2.8-turbo", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
    raise RuntimeError("Submission response did not contain a prediction id")
result_url = task.get("urls", {}).get("get") or f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"

# 2. Poll until the prediction finishes.
while True:
    result_body = request_json(result_url)
    result = result_body.get("data", result_body)
    status = result.get("status")
    if status == "completed":
        print(result.get("outputs", []))
        break
    if status in {"failed", "cancelled", "timeout"}:
        raise RuntimeError(result)
    if status not in {"created", "processing"}:
        raise RuntimeError(f"Unexpected status: {status}")
    time.sleep(2)

Speech 2.8 Turbo API — Frequently asked questions

What is the Speech 2.8 Turbo API?

Speech 2.8 Turbo is a MiniMax model for audio generation, exposed as a REST API on WaveSpeedAI. MiniMax Speech 2.8 Turbo is a high-definition text-to-speech model with natural and expressive voice synthesis. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Speech 2.8 Turbo API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID. Poll the result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/minimax/minimax-speech-2.8-turbo.

How much does Speech 2.8 Turbo cost per run?

Speech 2.8 Turbo starts at $0.060 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Speech 2.8 Turbo accept?

Key inputs: `bitrate`, `channel`, `emotion`, `enable_base64_output`, `enable_sync_mode`, `english_normalization`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/minimax/minimax-speech-2.8-turbo.

How long does Speech 2.8 Turbo take to generate?

Median end-to-end generation time on WaveSpeedAI is around 5 seconds per request, based on recent successful runs. Queue time varies with global demand; live status is visible in the prediction record.

Can I use Speech 2.8 Turbo outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (MiniMax). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

Speech 2.8 Turbo | Realistic Voice & TTS API | WaveSpeedAI