WaveSpeedAI APIMinimaxMinimax Speech 2.5 Turbo Preview

Minimax Speech 2.5 Turbo Preview

Minimax Speech 2.5 Turbo Preview

Playground

Try it on WavespeedAI!

MiniMax’s high-definition text-to-speech model, Compared to Speech 02 released in May, Speech 2.5 has three major breakthroughs: stronger multilingual expressiveness, more accurate voice replication, and broader coverage with 40 languages. Your request will cost $0.04 per 1000 characters.

Features

MiniMax Speech 2.5 Turbo Preview

MiniMax’s high-definition text-to-speech model with natural pronunciation and clear articulation. Features multiple voice options, adjustable speed, volume, and pitch controls for professional-grade audio generation.

Features

Three major breakthroughs: stronger multilingual performance, more lifelike tone, and 40 languages covered.

Leapfrogging multilingual performance

  • Chinese is the world’s strongest, English and other languages have been comprehensively improved in terms of accuracy, similarity, and natural rhythm, surpassing the previous generation Speech 02.
  • English similarity has been significantly improved, and 40 languages can be switched at will, making it no longer “mechanical” in commercial meetings, daily conversations, and English podcasts.

Lifelike tone replication

  • Across languages, accents, styles, and emotions, with industry-leading precision in detail.
  • The model can still achieve “voice”-like realism in extreme scenarios, such as cross-language accent preservation, regional accent preservation, and special age voice replication.

40 languages are now supported

  • Diversified high-quality audio library, globalized and unobstructed.
  • New additions include Bulgarian, Danish, Hebrew, Malay, Persian, Slovak, Swedish, Croatian, Filipino, Hungarian, Norwegian, Slovenian, Catalan, Nynorsk, Tamil, Afrikaans… …
  • Cross-border e-commerce, overseas customer service, and localized marketing are now easier than ever with globalized content creation at your fingertips.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result


# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/minimax/speech-2.5-turbo-preview" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "speed": 1,
    "volume": 1,
    "pitch": 0,
    "emotion": "happy",
    "english_normalization": false
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
textstringYes--Text to convert to speech. Every character is 1 token. Maximum 10000 characters. Use <#x#> between words to control pause duration (0.01-99.99s).
voice_idstringYes--Desired voice ID. Use a voice ID you have trained (https://wavespeed.ai/models/minimax/voice-clone), or one of the following system voice IDs: 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.
speednumberNo10.50 ~ 2.00Speech speed. Range: 0.5-2.0, where 1.0 is normal speed.
volumenumberNo10.10 ~ 10.00Speech volume. Range: 0.1-10.0, where 1.0 is normal volume.
pitchnumberNo--12 ~ 12Speech pitch. Range: -12 to 12, where 0 is normal pitch.
emotionstringNohappyhappy, sad, angry, fearful, disgusted, surprised, neutralThe emotion of the generated speech.
english_normalizationbooleanNofalse-This parameter supports English text normalization, which improves performance in number-reading scenarios.
sample_rateintegerNo-8000, 16000, 22050, 24000, 32000Sample rate of generated sound.
bitrateintegerNo-32000, 64000, 128000Bitrate of generated sound.
channelstringNo-1, 2The number of channels of the generated audio. 1: mono, 2: stereo.
language_booststringNo-Chinese, Chinese,Yue, English, Arabic, Russian, Spanish, French, Portuguese, German, Turkish, Dutch, Ukrainian, Vietnamese, Indonesian, Japanese, Italian, Korean, Thai, Polish, Romanian, Greek, Czech, Finnish, Hindi, Bulgarian, Danish, Hebrew, Malay, Persian, Slovak, Swedish, Croatian, Filipino, Hungarian, Norwegian, Slovenian, Catalan, Nynorsk, Tamil, Afrikaans, autoEnhance the ability to recognize specified languages and dialects.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Query Parameters

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction, the ID of the prediction to get
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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