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Generate human-like speech audio with Model Studio DashScope Qwen TTS models (qwen3-tts-flash, qwen3-tts-instruct-flash). Use when converting text to speech, producing voice lines for short drama/news videos, or documenting TTS request/response fields for DashScope.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install cinience/alicloud-ai-audio-tts打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Category: provider
mkdir -p output/alicloud-ai-audio-tts
python -m py_compile skills/ai/audio/alicloud-ai-audio-tts/scripts/generate_tts.py && echo "py_compile_ok" > output/alicloud-ai-audio-tts/validate.txt
Pass criteria: command exits 0 and output/alicloud-ai-audio-tts/validate.txt is generated.
output/alicloud-ai-audio-tts/.Use one of the recommended models:
qwen3-tts-flash
qwen3-tts-instruct-flash
qwen3-tts-instruct-flash-2026-01-26
python3 -m venv .venv
. .venv/bin/activate
python -m pip install dashscope
DASHSCOPE_API_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials (env takes precedence).text (string, required)voice (string, required)language_type (string, optional; default Auto)instruction (string, optional; recommended for instruct models)stream (bool, optional; default false)audio_url (string, when stream=false)audio_base64_pcm (string, when stream=true)sample_rate (int, 24000)format (string, wav or pcm depending on mode)import os
import dashscope
# Prefer env var for auth: export DASHSCOPE_API_KEY=...
# Or use ~/.alibabacloud/credentials with dashscope_api_key under [default].
# Beijing region; for Singapore use: https://dashscope-intl.aliyuncs.com/api/v1
dashscope.base_http_api_url = "https://dashscope.aliyuncs.com/api/v1"
text = "Hello, this is a short voice line."
response = dashscope.MultiModalConversation.call(
model="qwen3-tts-instruct-flash",
api_key=os.getenv("DASHSCOPE_API_KEY"),
text=text,
voice...
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
Category: provider
# Model Studio Qwen TTS
## Validation
```bash
mkdir -p output/alicloud-ai-audio-tts
python -m py_compile skills/ai/audio/alicloud-ai-audio-tts/scripts/generate_tts.py && echo "py_compile_ok" > output/alicloud-ai-audio-tts/validate.txt
```
Pass criteria: command exits 0 and `output/alicloud-ai-audio-tts/validate.txt` is generated.
## Output And Evidence
- Save generated audio links, sample audio files, and request payloads to `output/alicloud-ai-audio-tts/`.
- Keep one validation log per execution.
## Critical model names
Use one of the recommended models:
- `qwen3-tts-flash`
- `qwen3-tts-instruct-flash`
- `qwen3-tts-instruct-flash-2026-01-26`
## Prerequisites
- Install SDK (recommended in a venv to avoid PEP 668 limits):
```bash
python3 -m venv .venv
. .venv/bin/activate
python -m pip install dashscope
```
- Set `DASHSCOPE_API_KEY` in your environment, or add `dashscope_api_key` to `~/.alibabacloud/credentials` (env takes precedence).
## Normalized interface (tts.generate)
### Request
- `text` (string, required)
- `voice` (string, required)
- `language_type` (string, optional; default `Auto`)
- `instruction` (string, optional; recommended for instruct models)
- `stream` (bool, optional; default false)
### Response
- `audio_url` (string, when stream=false)
- `audio_base64_pcm` (string, when stream=true)
- `sample_rate` (int, 24000)
- `format` (string, wav or pcm depending on mode)
## Quick start (Python + DashScope SDK)
```python
import os
import dashscope
# Prefer env var for auth: export DASHSCOPE_API_KEY=...
# Or use ~/.alibabacloud/credentials with dashscope_api_key under [default].
# Beijing region; for Singapore use: https://dashscope-intl.aliyuncs.com/api/v1
dashscope.base_http_api_url = "https://dashscope.aliyuncs.com/api/v1"
text = "Hello, this is a short voice line."
response = dashscope.MultiModalConversation.call(
model="qwen3-tts-instruct-flash",
api_key=os.getenv("DASHSCOPE_API_KEY"),
text=text,
voice...Search and hire real humans for tasks — photography, delivery, research, and more
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