tts

影像 / 音视频 音频 · 播客 · 配音 文字转语音旁白配音 8 文件 中英

文字转语音、旁白。口播配音主力

| Text-to-speech and voice narration. Triggers on: "朗读这段", "配音", "TTS", "语音合成", "text to speech", "read this aloud", "convert to speech", "voice narration", "read aloud".

说明语言:中英混合

原文描述中英

Text-to-speech and voice narration. Triggers on: "朗读这段", "配音", "TTS", "语音合成", "text to speech", "read this aloud", "convert to speech", "voice narration", "read aloud".

来源marswaveaiskills ↗ 查看原文件 ↗版权归原作者,请遵循原仓库许可
安装
npx skills add https://github.com/marswaveai/skills --skill tts

需要已安装 skills CLI。也可以直接从源仓库 clone。

在星云中查看 ↗
SKILL.md 原文

When to Use

When NOT to Use

Purpose

Convert text into natural-sounding speech audio. Two paths:

  1. Quick mode (--mode direct): Single voice, low-latency, sync. For casual chat, reading snippets, instant audio.
  2. Script mode (--mode smart): Multi-speaker, per-segment voice assignment. For dialogue, audiobooks, scripted content.

Hard Constraints

<HARD-GATE> Use the AskUserQuestion tool for every multiple-choice step — do NOT print options as plain text. Ask one question at a time. Wait for the user's answer before proceeding to the next step. After all parameters are collected, summarize the choices and ask the user to confirm. Do NOT call any generation CLI command until the user has explicitly confirmed.

</HARD-GATE>

Mode Detection

Determine the mode from the user's input automatically before asking any questions:

SignalMode
"多角色", "脚本", "对话", "script", "dialogue", "multi-speaker"Script
Multiple characters mentioned by name or roleScript
Input contains structured segments (A: ..., B: ...)Script
Single paragraph of text, no character markersQuick
"读一下", "read this", "TTS", "朗读" with plain textQuick
AmbiguousQuick (default)

Interaction Flow

Step -1: CLI Auth Check

Follow shared/cli-authentication.md. If the CLI is not installed or the user is not logged in, auto-install and auto-login — never ask the user to run commands manually.

Then follow shared/cli-authentication.md § Auth Mode Detection to determine AUTH_MODE and set:

if [ "$AUTH_MODE" = "openapi" ]; then
  CMD_PREFIX="listenhub openapi tts"
else
  CMD_PREFIX="listenhub tts"
fi

All subsequent CLI calls use $CMD_PREFIX instead of hardcoded listenhub tts.

Step 0: Config Setup

Follow shared/config-pattern.md Step 0 (Zero-Question Boot).

If file doesn't exist — silently create with defaults and proceed:

mkdir -p ".listenhub/tts"
echo '{"outputMode":"inline","language":null,"defaultSpeakers":{}}' > ".listenhub/tts/config.json"
CONFIG_PATH=".listenhub/tts/config.json"
CONFIG=$(cat "$CONFIG_PATH")

Do NOT ask any setup questions. Proceed directly to the Interaction Flow.

If file exists — read config silently and proceed:

CONFIG_PATH=".listenhub/tts/config.json"
[ ! -f "$CONFIG_PATH" ] && CONFIG_PATH="$HOME/.listenhub/tts/config.json"
CONFIG=$(cat "$CONFIG_PATH")

Setup Flow (user-initiated reconfigure only)

Only run when the user explicitly asks to reconfigure. Display current settings:

当前配置 (tts):
  输出方式:{inline / download / both}
  语言偏好:{zh / en / 未设置}
  默认主播:{speakerName / 使用内置默认}

Then ask:

  1. outputMode: Follow shared/output-mode.md § Setup Flow Question.
  1. Language (optional): "默认语言?"
  2. "中文 (zh)"
  3. "English (en)"
  4. "每次手动选择" → keep null

After collecting answers, save immediately:

NEW_CONFIG=$(echo "$CONFIG" | jq --arg m "$OUTPUT_MODE" '. + {"outputMode": $m}')
# Save language if user chose one (not "每次手动选择")
if [ "$LANGUAGE" != "null" ]; then
  NEW_CONFIG=$(echo "$NEW_CONFIG" | jq --arg lang "$LANGUAGE" '. + {"language": $lang}')
fi
echo "$NEW_CONFIG" > "$CONFIG_PATH"
CONFIG=$(cat "$CONFIG_PATH")

Generation Speed

Default: 1.0x (original speed). Never ask about speed.

Only pass --speed when the user explicitly asks for a faster or slower reading — "慢一点"、"快一点"、"1.25 倍速"、"read it faster". Otherwise omit the flag.

Show the speed in the confirmation summary only when it is not 1.

Quick Mode — $CMD_PREFIX create --mode direct

Step 1: Extract text

Get the text to convert. If the user hasn't provided it, ask:

"What text would you like me to read aloud?"

Step 2: Determine voice

Step 3: Save preference

After the user explicitly selects a new voice (not when using defaults):

Question: "Save {voice name} as your default voice for {language}?"
Options:
  - "Yes" — update .listenhub/tts/config.json
  - "No" — use for this session only

Step 4: Confirm

Ready to generate:

  Text: "{first 80 chars}..."
  Voice: {voice name}
  Speed: {speed}x        # omit this line when speed is 1

Proceed?

Step 5: Generate

For short text, pass inline:

RESULT=$($CMD_PREFIX create --text "{text}" --mode direct --speaker "{name}" --lang {lang} [--speed {0.5-2.0}] --json 2>/tmp/lh-err)
EXIT_CODE=$?

if [ $EXIT_CODE -ne 0 ]; then
  ERROR=$(cat /tmp/lh-err)
  case $EXIT_CODE in
    2) echo "Auth error: run 'listenhub auth login'" ;;
    3) echo "Timeout: try --no-wait" ;;
    *) echo "Error: $ERROR" ;;
  esac
  rm -f /tmp/lh-err
fi
rm -f /tmp/lh-err

AUDIO_URL=$(echo "$RESULT" | jq -r '.audioUrl')

For long text, write to a temp file first (see shared/cli-patterns.md § Long Text Input):

cat > /tmp/lh-content.txt << 'ENDCONTENT'
Long text content goes here...
ENDCONTENT

RESULT=$($CMD_PREFIX create --text "$(cat /tmp/lh-content.txt)" --mode direct --speaker "{name}" --lang {lang} [--speed {0.5-2.0}] --json)
AUDIO_URL=$(echo "$RESULT" | jq -r '.audioUrl')

rm -f /tmp/lh-content.txt

Step 6: Present result

Read OUTPUT_MODE from config. Follow shared/output-mode.md for behavior.

inline or both: Display the audioUrl as a clickable link.

Present:

Audio generated!

在线收听:{audioUrl}

download or both: Also download the file. Generate a topic slug from the text content following shared/config-pattern.md § Artifact Naming.

SLUG="{topic-slug}"  # e.g. "server-maintenance-notice"
NAME="${SLUG}.mp3"
# Dedup: if file exists, append -2, -3, etc.
BASE="${NAME%.*}"; EXT="${NAME##*.}"; i=2
while [ -e "$NAME" ]; do NAME="${BASE}-${i}.${EXT}"; i=$((i+1)); done
curl -sS -o "$NAME" "$AUDIO_URL"

Present:

Audio generated!

已保存到当前目录:
  {NAME}

Script Mode — $CMD_PREFIX create --mode smart

Step 1: Get scripts

Determine whether the user already has a scripts array:

"Please provide the script with speaker assignments. Format: each line as SpeakerName: text content. I'll convert it."

Once the user provides the script, parse it into speaker-annotated text.

Step 2: Assign voices per character

For each unique character in the script:

Step 3: Save preferences

After all voices are assigned (if any were new):

Question: "Save these voice assignments for future sessions?"
Options:
  - "Yes" — update defaultSpeakers in .listenhub/tts/config.json
  - "No" — use for this session only

Step 4: Confirm

Ready to generate:

  Characters:
    {name}: {voice}
    {name}: {voice}
  Segments: {count}
  Speed: {speed}x        # omit this line when speed is 1
  Title: (auto-generated)

Proceed?

Step 5: Generate

Format the script text with speaker markers and submit. For multi-speaker scripts, include speaker names inline in the text. Run with run_in_background: true since script mode may take longer.

Submit (foreground) with --no-wait:

RESULT=$($CMD_PREFIX create --text "{formatted script with speaker markers}" --mode smart --speaker "{name1}" --speaker "{name2}" --lang {lang} [--speed {0.5-2.0}] --no-wait --json)
ID=$(echo "$RESULT" | jq -r '.id')
echo "Submitted: $ID"

For long scripts, write to a temp file first:

cat > /tmp/lh-content.txt << 'ENDCONTENT'
SpeakerA: First line of dialogue
SpeakerB: Second line of dialogue
...
ENDCONTENT

RESULT=$($CMD_PREFIX create --text "$(cat /tmp/lh-content.txt)" --mode smart --speaker "{name1}" --speaker "{name2}" --lang {lang} [--speed {0.5-2.0}] --no-wait --json)
ID=$(echo "$RESULT" | jq -r '.id')

rm -f /tmp/lh-content.txt

Poll (background) with run_in_background: true and timeout: 600000:

ID="<id-from-above>"
for i in $(seq 1 60); do
  RESULT=$(listenhub creation get "$ID" --json 2>/dev/null)
  STATUS=$(echo "$RESULT" | jq -r '.status // "processing"')

  case "$STATUS" in
    completed) echo "$RESULT"; exit 0 ;;
    failed) echo "FAILED: $RESULT" >&2; exit 1 ;;
    *) sleep 10 ;;
  esac
done
echo "TIMEOUT" >&2; exit 2

Step 6: Present result

When the background task completes, parse the result:

AUDIO_URL=$(echo "$RESULT" | jq -r '.audioUrl')
SUBTITLES_URL=$(echo "$RESULT" | jq -r '.subtitlesUrl // empty')
DURATION=$(echo "$RESULT" | jq -r '.audioDuration // empty')
CREDITS=$(echo "$RESULT" | jq -r '.credits // empty')

Read OUTPUT_MODE from config. Follow shared/output-mode.md for behavior.

inline or both: Display the audioUrl and subtitlesUrl as clickable links.

Present:

Audio generated!

在线收听:{audioUrl}
字幕:{subtitlesUrl}
时长:{audioDuration / 1000}s
消耗积分:{credits}

download or both: Also download the file. Generate a topic slug following shared/config-pattern.md § Artifact Naming.

SLUG="{topic-slug}"  # e.g. "welcome-dialogue"
NAME="${SLUG}.mp3"
# Dedup: if file exists, append -2, -3, etc.
BASE="${NAME%.*}"; EXT="${NAME##*.}"; i=2
while [ -e "$NAME" ]; do NAME="${BASE}-${i}.${EXT}"; i=$((i+1)); done
curl -sS -o "$NAME" "$AUDIO_URL"

Present:

已保存到当前目录:
  {NAME}

Updating Config

When saving preferences, merge into .listenhub/tts/config.json — do not overwrite unchanged keys.

API Reference

Composability

Examples

Quick mode:

"TTS this: The server will be down for maintenance at midnight."
  1. Detect: Quick mode (plain text, "TTS this")
  2. Read config: defaultSpeakers.en is empty
  3. Use built-in default: Mars (cozy-man-english)
  4. Confirm → user approves
  5. Generate:
   RESULT=$($CMD_PREFIX create --text "The server will be down for maintenance at midnight." --mode direct --speaker "Mars" --lang en --json)
   AUDIO_URL=$(echo "$RESULT" | jq -r '.audioUrl')
  1. Present: display audioUrl as link (inline mode)

Script mode:

"帮我做一段双人对话配音,A说:欢迎大家,B说:谢谢邀请"
  1. Detect: Script mode ("双人对话")
  2. Parse segments: A -> "欢迎大家", B -> "谢谢邀请"
  3. Read config: defaultSpeakers.zh empty
  4. Use built-in defaults: 原野 (Primary) + 高晴 (Secondary)
  5. Confirm → user approves
  6. Generate:
   RESULT=$($CMD_PREFIX create --text "A: 欢迎大家
   B: 谢谢邀请" --mode smart --speaker "原野" --speaker "高晴" --lang zh --no-wait --json)
   ID=$(echo "$RESULT" | jq -r '.id')
  1. Poll in background until complete
  2. Present: audioUrl, subtitlesUrl, duration
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