Humlo vs SoulX-Singer

Humlo creates AI music covers in a cloned version of your voice and short videos that make a photo appear to sing. Humlo says a 30-second recording can train a personal voice model. Choose a song from its catalog, paste a YouTube link, or upload a track; the service handles instrumental separation. A cover can be ready in under two minutes, according to the site. Creations can be saved, shared, or downloaded as audio or singing-head videos. You can queue generations, revisit and rename results, remake or remix them, and render them again. Humlo is built for iPhone and requires iOS 16 or later; a web beta is also linked. The free tier costs nothing with limited usage. Users retain ownership of uploads and generated media, while responsibility for source-song rights remains with them.

SoulX-Singer is a singing voice synthesis model that generates voices for singers it has not been tuned on. Pitch, rhythm, and expression can be guided by melody-conditioned F0 contours or score-conditioned MIDI notes. Its voice-conversion system changes raw singing audio to a target singer’s voice while retaining melody, rhythm, and lyrics, without requiring lyric or MIDI transcriptions. It supports Mandarin Chinese, English, and Cantonese, plus singer-timbre cloning, cross-lingual synthesis, and lyric editing while retaining natural prosody. Preprocessing tools handle vocal separation, dereverberation, F0 extraction, voice activity detection, and lyric and note transcription. Users can edit MIDI metadata, including lyrics, phoneme alignment, pitches, and durations, before synthesis. Soul-AILab provides generation and conversion demos and a separate MIDI editor through Hugging Face Spaces; the repository also supports local inference. Code and model weights use the Apache 2.0 license. Maintainers caution that automatic preprocessing may misalign singing with lyrics and notes, so manual correction may be needed.