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Aliyun Qwen Tts

  • 63 installs
  • 396 repo stars
  • Updated July 18, 2026
  • cinience/alicloud-skills

Generate human-like speech from text with Alibaba Cloud Model Studio Qwen TTS models via the DashScope SDK.

About

Uses the DashScope SDK with Qwen TTS models to convert text to speech, including voice lines for short videos and news. A developer uses it to add text-to-speech to a media pipeline.

  • qwen3-tts-flash and instruct-flash model variants
  • Saves generated audio links and request payloads as evidence

Aliyun Qwen Tts by the numbers

  • 63 all-time installs (skills.sh)
  • Ranked #858 of 1,335 Generative Media skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/cinience/alicloud-skills --skill aliyun-qwen-tts

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Listed on Skillselion
Installs63
repo stars396
Last updatedJuly 18, 2026
Repositorycinience/alicloud-skills

What it does

Generate human-like speech from text with Alibaba Cloud Model Studio Qwen TTS models via the DashScope SDK.

Files

SKILL.mdMarkdownGitHub ↗

Category: provider

Model Studio Qwen TTS

Validation

mkdir -p output/aliyun-qwen-tts
python -m py_compile skills/ai/audio/aliyun-qwen-tts/scripts/generate_tts.py && echo "py_compile_ok" > output/aliyun-qwen-tts/validate.txt

Pass criteria: command exits 0 and output/aliyun-qwen-tts/validate.txt is generated.

Output And Evidence

  • Save generated audio links, sample audio files, and request payloads to output/aliyun-qwen-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):
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)

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="Cherry",
    language_type="English",
    instruction="Warm and calm tone, slightly slower pace.",
    stream=False,
)

audio_url = response.output.audio.url
print(audio_url)

Streaming notes

  • stream=True returns Base64-encoded PCM chunks at 24kHz.
  • Decode chunks and play or concatenate to a pcm buffer.
  • The response contains finish_reason == "stop" when the stream ends.

Operational guidance

  • Keep requests concise; split long text into multiple calls if you hit size or timeout errors.
  • Use language_type consistent with the text to improve pronunciation.
  • Use instruction only when you need explicit style/tone control.
  • Cache by (text, voice, language_type) to avoid repeat costs.

Output location

  • Default output: output/aliyun-qwen-tts/audio/
  • Override base dir with OUTPUT_DIR.

Workflow

1) Confirm user intent, region, identifiers, and whether the operation is read-only or mutating. 2) Run one minimal read-only query first to verify connectivity and permissions. 3) Execute the target operation with explicit parameters and bounded scope. 4) Verify results and save output/evidence files.

References

  • references/api_reference.md for parameter mapping and streaming example.
  • Realtime mode is provided by skills/ai/audio/aliyun-qwen-tts-realtime/.
  • Voice cloning/design are provided by skills/ai/audio/aliyun-qwen-tts-voice-clone/ and skills/ai/audio/aliyun-qwen-tts-voice-design/.
  • Source list: references/sources.md

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