Source: https://ailoot.ai/models/en/speech-02-turbo/ Canonical: https://ailoot.ai/models/en/speech-02-turbo/ Language: en # speech-02-turbo [Markdown](https://ailoot.ai/models/en/speech-02-turbo/index.md) · [JSON](https://ailoot.ai/models/en/speech-02-turbo/facts.json) ## [speech-02-turbo](https://ailoot.ai/models/en/speech-02-turbo/) Speech-02 Turbo is intended for fast speech synthesis with consistent rhythm and multilingual output. - [**Ailoot · Text to speech** `POST /v1/audio/speech` `speech-02-turbo`](https://ailoot.ai/models/en/speech-02-turbo/#method-0) About the model This description covers the model’s capabilities. Available in Ailoot inputs, outputs and options are listed for the selected method below. #### Fast speech for interactive responses Speech 02 Turbo is intended for interactive speech synthesis. The manufacturer describes a combination of speed, consistent rhythm and natural sound; uses include voice responses, game dialogue and interactive content. The model receives text and produces speech audio. #### Choosing the vocal character The Speech 02 family allows voice, language, accent and emotional coloration to be combined. The jointly trained autoregressive Transformer and speaker encoder connect timbre with content. Text can be synthesized with a prepared voice; creation of a new cloned voice is a separate preparation process. The model selects emotional intonation from the text itself or accepts a specified state: joy, sadness, anger, fear, disgust, surprise or calm. Speed, pitch and volume are also controlled to align a line with the desired interaction pace. #### Languages and word pronunciation Russian speech and other languages are supported, including English, Chinese, Cantonese, Japanese, Korean, French, German, Spanish, Portuguese, Turkish, Arabic and Ukrainian. The current Speech 02 specification specifically excludes Persian, Filipino and Tamil. Pronunciation can be refined through a replacement dictionary, international phonetic notation, Chinese pinyin and Japanese reading variants. Pauses between spoken sections are set within **0.01–99.99 seconds**. Pause duration is specified to two decimal places; markers are placed between spoken passages and not consecutively. The model provides speed of **0.5–2**, volume above 0 and up to **10**, and pitch adjustment from **−12 to 12**. #### Audio for playback Synchronous input is limited to text of fewer than **10,000 characters**; for text exceeding 3000 characters, the manufacturer recommends incremental output. Model capabilities include MP3, WAV, FLAC and PCM; general settings also describe Opus and G.711 μ-law, with one or two audio channels. This Ailoot card accepts text and returns speech. Turbo's speed concerns the variant's intended use; actual response duration and availability of extended formats depend on the selected access method. Additional audio settings include sample rates of **8, 16, 22.05, 24, 32 and 44.1 kHz**. MP3 provides bitrates of **32, 64, 128 or 256 kbps**. Voice coloration can also be changed and one effect applied: spacious echo, hall echo, telephone sound or a robotic voice. Voice-modification effects are supported for MP3, WAV and FLAC when receiving the audio in full, and only for MP3 when streaming. G.711 μ-law formats use an 8 kHz sample rate. These capabilities belong to MiniMax's synthesis settings. The manufacturer provides speech-text synchronization: sentence timestamps, word timestamps or word timestamps during incremental output. This result helps align speech with displayed text. This additional capability requires support for the corresponding response format. **Ailoot · Text to speech** `POST /v1/audio/speech` `speech-02-turbo` [`speech-02-turbo`](https://ailoot.ai/models/en/#m=speech-02-turbo&route=Core&caller=speech-02-turbo&fmt=speech) MiniMax /`speech-02-turbo` ### Overview Speech-02 Turbo is intended for fast speech synthesis with consistent rhythm and multilingual output. Accepted inputs Text Results speech ### Available in Ailoot · inputs & methods **Ailoot · Text to speech** `POST /v1/audio/speech` Input types `text` Output types `speech` Output format mp3 | Field | Type | Requirement | Values & limits | Default | | --- | --- | --- | --- | --- | | Field`model` | Type`string` | RequirementRequired | Values & limits speech-02-turbo | Default— | | Field`input` | Type`string` | RequirementRequired | Values & limits Minimum length: 1 Maximum length (exclusive): 10,000 Unit: Unicode characters | Default— | | Field`voice` | Type`string` | RequirementRequired | Values & limits Pattern: ^\[A-Za-z0-9\_-\]{1,128}$ | Default— | | Field`response_format` | Type`string` | RequirementOptional | Values & limits mp3 | Default— | Input material combinations **text\_to\_speech** · Required: input Method parameters and lifecycle | Parameter | Contract | | --- | --- | | Parameter`material_types` | Contracttext | | Parameter`required` | Contractnull | | Parameter`optional_controls` | Contractnull | Lifecycle: `synchronous_result_then_owned_library` `GET /v1/media/tasks/{task_id}` · actual returned task\_id or media library record `GET /v1/media/assets/{asset_id}/content` `GET /v1/media/assets` `GET /v1/media/assets/{asset_id}` Method shapes and IDs are exact; supplier capability is separate from admission. ### Pricing #### Ailoot method rates Input $60.00 *per 1 million characters* Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. [How reservation and settlement work →](https://ailoot.ai/docs/en/billing/reserve/) ### Example requests #### Ailoot · Text to speech Speech example ```bash set -eu : "${AILOOT_API_KEY:?Set your Ailoot API key}" : "${AILOOT_TEXT_FILE:?Set your actual UTF-8 narration script}" export AILOOT_TEXT_FILE : "${AILOOT_VOICE_ID:?Set the actual accepted voice ID for this model}" export AILOOT_VOICE_ID python3 - <<'PY_REQUEST' import json,os from pathlib import Path p=json.loads('{"model": "speech-02-turbo", "input": ""}') f=Path(os.environ["AILOOT_TEXT_FILE"]) if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material") text=f.read_text(encoding="utf-8") if not text.strip():raise SystemExit("Source material must contain text") p["input"]=text import re voice=os.environ["AILOOT_VOICE_ID"] if not re.fullmatch(r"[A-Za-z0-9_-]{1,128}",voice):raise SystemExit("Set an actual accepted voice ID") p["voice"]=voice Path("request.json").write_text(json.dumps(p,ensure_ascii=False)) PY_REQUEST curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/audio/speech \ -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \ --data-binary @request.json -D response-headers.txt -o speech.mp3 ``` ### Receive and save results #### Ailoot · Text to speech mp3 - `GET /v1/media/tasks/{task_id}` - `GET /v1/media/assets/{asset_id}/content` - `GET /v1/media/assets` - `GET /v1/media/assets/{asset_id}` ##### Keep all completed results Keep every complete returned response, file and content part. Keep the complete binary result and headers. If JSON/multiple outputs are returned, retain every data item and fetch each actual signed asset URL. ##### If the original response needs checking Retain original operation\_id/X-Client-Request-ID for reconciliation without resubmission; no dedicated audio poll route. Response fields | Field | Type | | --- | --- | | Field`binary audio` | Typebytes | | Field`response headers` | Typeheaders | Errors and next steps | Response | Condition | Next step | | --- | --- | --- | | Response400 · `invalid_request_error` | ConditionInvalid required fields, material representation or parameter value | Next stepCorrect the indicated fields before a new creation request. | | Response`server_error` | ConditionThe returned response says the operation or result requires a check | Next stepKeep the original returned operation/task ID, request headers and response; continue supported reads of that original operation. Do not resubmit the creation request. | ### Aliases #### Model aliases **Ailoot** [`speech-02-turbo`](https://ailoot.ai/models/en/#m=speech-02-turbo&route=Core&caller=speech-02-turbo&fmt=speech) #### Method path aliases Use the method paths shown above. #### Related caller IDs [`speech-02-turbo`](https://ailoot.ai/models/en/#m=speech-02-turbo&route=Core&caller=speech-02-turbo&fmt=speech) FAQ · speech-02-turbo What inputs and results are available? `POST /v1/audio/speech` · `speech-02-turbo`: `text` → `speech` Which fields does the request use? `POST /v1/audio/speech` · `speech-02-turbo`: `model`, `input`, `voice`, `response_format` Connect Ailoot to Claude Code, OpenCode, Hermes or your own app. ## The company and its project portfolio The company and its project portfolio: millions of customers; monthly sales in the billions. ## Buy tokens at a discount. Subscription discounts for regular use. Promo codes offer up to 50% off token purchases. 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