tts▌

High-quality neural text-to-speech audio generation with Microsoft Edge voices. \n \n Supports 30+ voices across English, French, and Chinese with adjustable speed, pitch, and volume \n Generates MP3 audio files and optional WebVTT subtitles from plain text input \n Triggered by \"tts\" keyword or when audio output is needed for accessibility, multitasking, or specific voice requirements \n Command-line interface via uvx edge-tts with voice selection, rate/pitch/volume modulation, and subtitle o

Voice cloning and text-to-speech synthesis using Alibaba Cloud Qwen TTS VC models. \n \n Supports two model variants: standard batch processing ( qwen3-tts-vc-2026-01-22 ) and real-time streaming ( qwen3-tts-vc-realtime-2026-01-15 ) \n Accepts voice samples as file paths or raw bytes; generates cloned voice IDs for reuse across multiple synthesis requests \n Normalized interface handles text input, voice enrollment, optional streaming output, and returns audio URLs or PCM chunks \n Requires DASH

Local TTS using the sherpa-onnx offline CLI.

Routes NVIDIA Nemotron Speech (Riva) NIM tasks — deploys, runs, and tests ASR, TTS, and NMT NIMs on build.nvidia.com or self-hosted.

Category: provider

Category: test

High-quality text-to-speech audio generation using GLM-TTS with customizable voices and playback parameters. \n \n Converts text or file content to WAV audio via the uvx zai-tts command with configurable output paths \n Supports three built-in system voices (Lila, Chloe, Ethan) plus custom cloned voices created on audio.z.ai \n Adjustable speed (1.5x, etc.) and volume (2x, etc.) parameters for fine-tuned audio output \n Requires environment variables ZAI_AUDIO_USERID and ZAI_AUDIO_TOKEN obtained

Premium text-to-speech with 22+ voices, three quality tiers, and multilingual support across 32 languages. \n \n Three models available: eleven_multilingual_v2 for highest quality, eleven_turbo_v2_5 for balanced speed, and eleven_flash_v2_5 for ultra-low latency (~75ms) \n 22+ named voices across male and female personas with distinct styles (e.g., aria for conversational American, george for authoritative British) \n Fine-tune voice output via stability, similarity_boost, and style parameters;

Category: test \n Minimal Viable Test \n Goals \n \n Validate only the minimal request path for this skill. \n If execution fails, record exact error details without guessing parameters. \n \n Prerequisites \n \n Prepare authentication and region settings based on the skill instructions. \n Target skill: skills/ai/audio/alicloud-ai-audio-tts \n \n Test Steps (Minimal) \n \n Open the target skill SKILL.md and choose one minimal input example. \n Send one minimal request or run the example script.

Category: test