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doubao-tts

Skill584 starsChanged 59 days agoMITView on GitHub

Use Doubao Text-to-Speech (Volcengine TTS) to convert text into audio files. When a user mentions "Doubao TTS," "Doubao Text-to-Speech," "doubao tts," "Volcengine TTS," "volcengine tts," "speech synthesis," "text-to-speech," "TTS," "generate audio," "read text aloud," or any scenario requiring the Doubao/Volcengine Text-to-Speech API, this skill must be triggered.

  • Reads credentials

We split this skill into the rules it gives an agent

7 rules. 0 are common, 3 are distinctive, and 4 are very specific to this project.

  • 0

    Common

    Most of the 5 edited versions we read keep these.

  • 3

    Distinctive

    This author's own choices. Worth a look.

  • 4

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use the Volcengine Doubao Text-to-Speech V3 HTTP SSE unidirectional streaming API to convert text into audio files.

    line 9
  2. Distinctive:

    Create an application or use an existing one

    line 15
  3. Distinctive:

    Check whether they are configured:

    line 35
  4. Very specific:

    If they are not configured, tell the user to set them (prefer API Key): Set DOUBAO_TTS_API_KEY | [Set

    line 42
  5. Very specific:

    Call the script: /var/minis/skills/doubao-tts/scripts/tts.py

    line 50
  6. Very specific:

    Check whether environment variables are configured (first DOUBAO_TTS_API_KEY, then DOUBAO_TTS_APPID + DOUBAO_TTS_TOKEN)

    line 144
  7. Very specific:

    Call the tts.py script to generate an audio file in /var/minis/workspace/

    line 145

“Common” is measured: kept by at least 6 in 10 of the 5 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Doubao TTS Skill (V3)

Use the Volcengine Doubao Text-to-Speech V3 HTTP SSE unidirectional streaming API to convert text into audio files.

Get an API Key (Recommended, New Console)

  1. Log in to the Volcengine Console
  2. Go to Doubao Voice → Text-to-Speech Large Model → Application Management
  3. Create an application or use an existing one
  4. On the API Key Management page, get the API Key → corresponding to DOUBAO_TTS_API_KEY

If you have not enabled the service yet, enable it first on the Text-to-Speech Large Model page.

Legacy Console (AppID + Token)

At the bottom of the application details page in the legacy console, you can find:

  • APP ID → DOUBAO_TTS_APPID
  • Access Token → DOUBAO_TTS_TOKEN

Environment Variables

Variable NameDescriptionRecommended
DOUBAO_TTS_API_KEYAPI Key (new console, X-Api-Key)✅
DOUBAO_TTS_APPIDAppID (legacy console, X-Api-App-Id)
DOUBAO_TTS_TOKENAccess Token (legacy console, X-Api-Access-Key)
DOUBAO_TTS_RESOURCE_IDResource ID; leave blank to use the default seed-tts-2.0

Check whether they are configured:

[ -n "$DOUBAO_TTS_API_KEY" ] && echo "API_KEY: set" || echo "API_KEY: not set"
[ -n "$DOUBAO_TTS_APPID" ] && echo "APPID: set" || echo "APPID: not set"
[ -n "$DOUBAO_TTS_TOKEN" ] && echo "TOKEN: set" || echo "TOKEN: not set"

If they are not configured, tell the user to set them (prefer API Key): Set DOUBAO_TTS_API_KEY | Set DOUBAO_TTS_RESOURCE_ID

Legacy console (AppID + Token): Set DOUBAO_TTS_APPID | Set DOUBAO_TTS_TOKEN

Usage

Call the script: /var/minis/skills/doubao-tts/scripts/tts.py

# Basic usage
uv run --script --cache-dir /root/.cache/uv \
  /var/minis/skills/doubao-tts/scripts/tts.py \
  --text "Hello, and welcome to Doubao Text-to-Speech." \
  --output /var/minis/workspace/output.mp3

# Specify voice and speech rate
uv run --script --cache-dir /root/.cache/uv \
  /var/minis/skills/doubao-tts/scripts/tts.py \
  --text "The weather is really nice today." \
  --speaker zh_female_cancan_uranus_bigtts \
  --speech-rate 10 \
  --output /var/minis/workspace/output.mp3

# English
uv run --script --cache-dir /root/.cache/uv \
  /var/minis/skills/doubao-tts/scripts/tts.py \
  --text "Hello! Nice to meet you." \
  --speaker en_female_dacey_uranus_bigtts \
  --output /var/minis/workspace/output.mp3

API Description

  • Endpoint: https://openspeech.bytedance.com/api/v3/tts/unidirectional/sse (SSE streaming)
  • Authentication (choose one):
    • New console: Header X-Api-Key (API Key)
    • Legacy console: Header X-Api-App-Id + X-Api-Access-Key (AppID + Token)
  • Resource ID: Specifies the model version to call (see the table below)
  • Usage response: The script includes X-Control-Require-Usage-Tokens-Return: text_words by default, which returns the number of billable characters (text_words) when synthesis ends
Resource IDDescription
seed-tts-1.0Doubao Text-to-Speech Model 1.0 character version (default, compatible with all BV*_streaming voices)
seed-tts-1.0-concurrDoubao Text-to-Speech Model 1.0 concurrency version
seed-tts-2.0Doubao Text-to-Speech Model 2.0 (supports only 2.0 voices)

Parameters

ParameterDescription
--textText to synthesize (required)
--outputOutput file path (required)
--api-keyAPI Key (new console, takes precedence over APPID/TOKEN)
--appidAppID (legacy console)
--tokenAccess Token (legacy console)
--speakerVoice, default zh_female_shuangkuaisisi_uranus_bigtts (Shuangkuai Sisi 2.0)
--encodingFormat: mp3/pcm/ogg_opus, default mp3
--speech-rateSpeech rate [-50, 100], where 0 is the default and 100 is 2x speed
--loudnessVolume [-50, 100], where 0 is the default
--sample-rateSample rate, default 24000
--emotionEmotion, such as happy/sad/angry/narrator
--emotion-scaleEmotion intensity [1, 5] (used with --emotion)
--resource-idResource ID (overrides the environment variable)
--jsonOutput result in JSON format

Quick Reference for Common Voices

Doubao Text-to-Speech Model 2.0 (seed-tts-2.0, recommended)

speakerNameScenario
zh_female_shuangkuaisisi_uranus_bigttsShuangkuai Sisi 2.0 ⭐ DefaultGeneral
zh_female_cancan_uranus_bigttsZhixing Cancan 2.0Role-playing
zh_female_tianmeixiaoyuan_uranus_bigttsTianmei Xiaoyuan 2.0General
zh_female_vv_uranus_bigttsVivi 2.0General, Chinese/Japanese/Indonesian/Mexican Spanish, Sichuan/Shaanxi/Northeastern dialects
zh_female_xiaohe_uranus_bigttsXiaohe 2.0General
zh_male_m191_uranus_bigttsYunzhou 2.0General
zh_male_taocheng_uranus_bigttsXiaotian 2.0General
zh_female_kefunvsheng_uranus_bigttsNuanyang Female Voice 2.0Customer service
en_female_dacey_uranus_bigttsDaceyMultilingual (English)
en_male_tim_uranus_bigttsTimMultilingual (English)

Doubao Text-to-Speech Model 1.0 (seed-tts-1.0, requires changing --resource-id)

speakerNameScenario
BV700_streamingCancanGeneral, supports 22 emotions
BV001_streamingGeneral Female VoiceGeneral
BV002_streamingGeneral Male VoiceGeneral
BV701_streamingQingcangAudiobook
BV503_streamingEnergetic Female Voice-ArianaEnglish

⚠️ 1.0 and 2.0 voices cannot be mixed. seed-tts-2.0 supports only voices ending in *_uranus_bigtts.

Common Emotion Values

pleased (pleased) / sorry (sorry) / happy (happy) / sad (sad) / angry (angry) / scare (scared) / surprise (surprised) / hate (disgust) / tear (tearful voice) / narrator (narrator) / storytelling (storytelling)

Complete Workflow

  1. Check whether environment variables are configured (first DOUBAO_TTS_API_KEY, then DOUBAO_TTS_APPID + DOUBAO_TTS_TOKEN)
  2. Call the tts.py script to generate an audio file in /var/minis/workspace/
  3. Return it to the user as a minis://workspace/xxx.mp3 link, which they can click to play directly.

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