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MoonInTheRiver avatar

MoonInTheRiver/DiffSinger

0
View on GitHub↗
4,804 stars·817 forks·Python·MIT·44 views

DiffSinger

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, and neural vocoder reconstruction to convert text into time-domain audio waveforms. It also includes capabilities for synthetic vocal enhancement to improve the sonic quality of recordings.

Features

  • Singing Voice Synthesis - Generates synthetic singing audio and realistic vocal performances based on text and timing prompts.
  • Audio Generation Models - Produces high-fidelity audio waveforms and spectrograms for both singing and spoken language.
  • Mel-Spectrogram Processing - Produces mel-spectrograms as the intermediate time-frequency representation between text input and audio waveforms.
  • Neural Vocoders - Utilizes a deep learning-based neural vocoder to reconstruct time-domain audio waveforms from mel-spectrograms.
  • Shallow Diffusion Sampling - Generates high-fidelity audio by iteratively refining noise into mel-spectrograms using a limited number of sampling steps.
  • Text-to-Speech Conversions - Transforms written text into audible speech by predicting pitch and mel-spectrograms.
  • Text-to-Speech - Synthesizes natural human speech from text input by predicting pitch and mel-spectrograms.
  • Diffusion-Based Singing Synthesis - Employs a generative diffusion model to create realistic singing vocals from text and pitch.
  • Vocal Synthesizers - Provides a complete system for generating and enhancing synthetic singing performances using deep learning.
  • Inference Acceleration - Optimizes inference speed by employing specialized numerical solvers to reduce the number of diffusion iterations.
  • Inference Accelerators - Accelerates audio generation through optimized sampling plugins and numerical solvers.
  • Acoustic Parameter Predictions - Predicts fundamental frequency and spectral envelopes from text and notation to drive the synthesis engine.
  • Iterative Prediction Refiners - Implements a reverse diffusion process that iteratively refines random Gaussian noise into a structured voice signal.
  • Inference Optimization - Reduces the time required to generate synthetic voices using optimized sampling plugins.

Star history

Star history chart for moonintheriver/diffsingerStar history chart for moonintheriver/diffsinger

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with DiffSinger

These projects share indexed features with DiffSinger. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
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    AudioGPT is an LLM-driven audio framework and processing suite that uses large language models to orchestrate neural audio pipelines. It functions as a multimodal audio generator and processing system, integrating a collection of pretrained models to handle speech synthesis, sound generation, and audio manipulation. The system is distinguished by its ability to generate audio from diverse inputs, including text and images, and its capacity to produce synchronized talking head videos. It also operates as a neural speech translator, converting spoken language between different tongues while pre

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  • voicevox/voicevoxVOICEVOX avatar

    VOICEVOX/voicevox

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    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

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  • stakira/openutaustakira avatar

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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 platform integrates with external neural network synthesis servers to generate high-fidelity singing audio. It provides a phonetic singing controller for mapping lyrics to phonemes and fine-tuning pitch, vibrato, and articulation curves. The software includes a comprehensive suite of phonetic processing tools

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Frequently asked questions

What does moonintheriver/diffsinger do?

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.

What are the main features of moonintheriver/diffsinger?

The main features of moonintheriver/diffsinger are: Singing Voice Synthesis, Audio Generation Models, Mel-Spectrogram Processing, Neural Vocoders, Shallow Diffusion Sampling, Text-to-Speech Conversions, Text-to-Speech, Diffusion-Based Singing Synthesis.

Which projects share features with moonintheriver/diffsinger?

Projects with overlapping indexed features include: tensorspeech/tensorflowtts — TensorFlowTTS is a neural speech synthesis framework used to convert text into high-fidelity audio waveforms. It… aigc-audio/audiogpt — AudioGPT is an LLM-driven audio framework and processing suite that uses large language models to orchestrate neural… voicevox/voicevox — Voicevox is a text-to-speech synthesis software and audio production environment that converts written text into… stakira/openutau — OpenUTAU is a vocal synthesis editor and neural vocal workstation designed for composing singing voice sequences. It… remsky/kokoro-fastapi — Kokoro-FastAPI is a text-to-speech API and LLM speech synthesis server that generates spoken audio from text via a… ace-step/ace-step — ACE-Step is a high-fidelity audio synthesis system and diffusion model designed to generate music and vocals from text…