{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/7"}],"enrichment":{"capability":"Qwen-TTS generates speech from text using Qwen3-TTS models, supporting voice cloning, voice design, and instruction-based voice control across 10 languages with streaming and non-streaming output.","skillfed_tags":["speech-synthesis","voice-cloning","multilingual"],"use_cases":["Generate natural-sounding voiceovers for videos or podcasts in multiple languages with custom voice profiles.","Clone a speaker's voice from a short audio clip and use it to synthesize new speech in the same voice.","Build interactive voice assistants that respond with emotionally appropriate speech based on text instructions.","Create accessible audio versions of documents by converting text to speech with fine-tuned prosody and tone.","Prototype multilingual speech applications without training custom models from scratch."],"what_it_does":"Qwen-TTS is a Python wrapper for Alibaba's Qwen3-TTS speech generation models. It lets you convert text to speech in 10 languages (Chinese, English, Japanese, Korean, German, French, Russian, Portuguese, Spanish, Italian) with fine-grained control over voice characteristics. The package supports three main workflows: custom voice generation from text descriptions, voice cloning from a 3-second audio sample, and instruction-based voice design where you describe desired acoustic properties (timbre, emotion, prosody) and the model adapts output accordingly.\n\nThe underlying models use a discrete multi-codebook language model architecture for end-to-end speech generation, avoiding cascading errors from traditional pipeline approaches. Both streaming (output starts after a single character) and non-streaming modes are supported. Runtime dependencies include transformers, torchaudio, librosa, and onnxruntime for inference, plus gradio for the optional web UI. Model weights download automatically from Hugging Face or ModelScope on first use.","worth_installing":"Yes, if you need multilingual text-to-speech with voice cloning and instruction-based control. The low install friction and permissive license are favorable. However, the package is very recent (first release 2026-01-22) with aging maintenance status, so expect potential API changes and monitor for updates. Test thoroughly before production use, especially for latency-sensitive applications."},"id":"qwen-tts","links":{"html":"https://skillfed.io/packages/qwen-tts","md":"https://skillfed.io/packages/qwen-tts.md","pypi":"https://pypi.org/project/qwen-tts/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2026-02-06","license_spdx":null,"license_treatment":"permissive","name":"qwen-tts","python_support":"supports_current","summary":"Qwen-TTS python package"},"popularity":{"monthly_downloads":223339,"position":9247,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.1.1"}