voice-generation

What problem does it solve?

This Skill provides a complete, end-to-end guide for generating high-quality voice outputs, covering both singing (ACE-Step) and speech (Kokoro/Coqui TTS), along with practical routing and production-ready implementation patterns.

Core Features & Use Cases

• Singing with ACE-Step: Generate full songs with vocals and musical accompaniment, including lyric alignment and structure.
• Speech with TTS: Produce natural-sounding speech with Kokoro TTS or Coqui TTS for voice cloning and multilingual output.
• Routing & Production Patterns: Automatic model selection based on user intent (singing vs speech) and production-ready pipeline integration with metadata tagging.

Quick Start

Install the required Python packages, then run a quick example to generate a 60-second singing sample:

• Install dependencies: pip install acestep kokoro soundfile numpy TTS
• Python snippet to generate a sample: from acestep.pipeline_ace_step import ACEStepPipeline pipeline = ACEStepPipeline(dtype='bfloat16', cpu_offload=True, overlapped_decode=True) pipeline.load_checkpoint() results = pipeline( prompt='pop, upbeat, female vocal', lyrics='[intro-short]\n\n[verse]\nYour topic here...\n\n[chorus]\nCatchy hook...\n\n[outro-short]', audio_duration=60.0, infer_step=27, save_path='generated/song.wav' ) The script will produce a WAV file and a corresponding JSON metadata file.