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OpenUTAU is a vocal synthesis editor and neural vocal workstation designed for composing singing voice sequences. It functions as a digital audio workstation for virtual singer composition, featuring a MIDI vocal arranger and a sequencer compatible with the UTAU voicebank standard.
The main features of stakira/openutau are: Singing Voice Synthesis, Piano Roll Note Editing, MIDI Vocal Arrangers, Vocal Compositions, AI Vocal Production, Multilingual Production, Grapheme To Phoneme Conversion, Grapheme-to-Phoneme Converters.
Projects with overlapping indexed features include: voicevox/voicevox — Voicevox is a text-to-speech synthesis software and audio production environment that converts written text into… lmms/lmms — LMMS is a digital audio workstation and MIDI sequencer designed for composing, arranging, and mixing music. It… ace-step/ace-step — ACE-Step is a high-fidelity audio synthesis system and diffusion model designed to generate music and vocals from text… moonintheriver/diffsinger — DiffSinger is an AI vocal synthesizer and neural audio generator designed to produce high-fidelity singing and speech.… microsoft/muzic — Muzic is a deep learning platform and framework for AI-driven music analysis, composition, and synthesis. It functions… ardour/ardour — Ardour is a digital audio workstation, multitrack audio mixer, and MIDI sequencer. It functions as a non-linear audio…
Voicevox is a text-to-speech synthesis software and audio production environment that converts written text into spoken audio using synthetic character voices. It functions as both a comprehensive editor for voice design and a standalone speech synthesis engine capable of generating audio via an API for integration into external applications. The project distinguishes itself by providing a singing voice synthesizer that uses a piano-roll interface for melodic vocal composition, including the ability to generate humming. It offers specialized prosody editing tools for the manual refinement of
LMMS is a digital audio workstation and MIDI sequencer designed for composing, arranging, and mixing music. It functions as a comprehensive production environment that integrates a MIDI sequencer, a sample-based synthesizer, and an audio mixing console. The project distinguishes itself through a versatile synthesis engine that includes additive synthesis, wavetable generation, and emulations of vintage hardware such as NES audio and FM chips. It also serves as a VST plugin host, allowing for the integration of third-party virtual instruments and audio effects via a standardized interface. Be
ACE-Step is a high-fidelity audio synthesis system and diffusion model designed to generate music and vocals from text descriptions. It functions as a music generator and vocal synthesizer, using a diffusion transformer decoder to produce audio across various languages and genres. The project provides tools for text-guided audio editing, including the ability to extend the duration of tracks, regenerate specific song segments, and perform latent-space audio inpainting to modify lyrics or styles. It also includes a framework for audio style fine-tuning using low-rank adaptation to adapt vocal
DiffSinger is an AI vocal synthesizer and neural audio generator designed to produce high-fidelity singing and speech. It functions as a text-to-speech system and a diffusion-based singing voice synthesis tool that transforms text and pitch into audible audio. The system utilizes a shallow diffusion mechanism and iterative noise refinement to generate realistic vocal performances. It incorporates specialized sampling plugins and numerical solvers to accelerate inference and reduce the time required to generate synthetic voices. The project covers acoustic modeling, mel-spectrogram synthesis,