GPT-SoVITS vs Inworld TTS

GPT-SoVITS is a free WebUI for few-shot voice conversion and text-to-speech. It can generate speech from a five-second vocal sample, or use one minute of training data to improve voice similarity and realism. Cross-lingual inference supports English, Japanese, Korean, Cantonese, and Chinese. The WebUI includes tools for separating accompaniment, segmenting training sets, multilingual speech recognition, and labeling text. Speech-recognition options include Fun-ASR-Nano, SenseVoice, classic FunASR, and Faster Whisper. The repository also provides an API with GET and POST inference endpoints that return WAV audio streams on success. Installation instructions cover Windows, Linux, and macOS, with Docker Compose services in full and Lite variants. The Lite image omits ASR and UVR5 models; UVR5 models must be downloaded manually, while ASR models download as needed. On macOS, the project temporarily uses CPUs because it reports significantly lower quality from models trained with Mac GPUs. GPT-SoVITS is released under the MIT License and links to Chinese and English user guides.

Inworld TTS has no write-up on Specifiction yet; its figures are above.