DiffSinger

DiffSinger este un sintetizator vocal AI și un generator audio neuronal conceput pentru a produce cântat și vorbire de înaltă fidelitate. Funcționează ca un sistem text-to-speech și un instrument de sinteză a vocii cântate bazat pe difuzie care transformă textul și pitch-ul în audio audibil.

Sistemul utilizează un mecanism de difuzie superficială și rafinarea iterativă a zgomotului pentru a genera performanțe vocale realiste. Încorporează plugin-uri de eșantionare specializate și solvere numerice pentru a accelera inferența și a reduce timpul necesar pentru a genera voci sintetice.

Proiectul acoperă modelarea acustică, sinteza mel-spectrogramelor și reconstrucția vocoderului neuronal pentru a converti textul în forme de undă audio în domeniul timpului. Include, de asemenea, capabilități pentru îmbunătățirea vocală sintetică pentru a crește calitatea sonică a înregistrărilor.

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.

Istoric stele

MoonInTheRiverDiffSinger

Name: moonintheriver/diffsinger
Author: MoonInTheRiver

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4,804 stele817 fork-uriPythonMIT10 vizualizări

DiffSinger

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.

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Întrebări frecvente

Ce face moonintheriver/diffsinger?

Care sunt principalele funcționalități ale moonintheriver/diffsinger?

Principalele funcționalități ale moonintheriver/diffsinger sunt: 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.

Care sunt câteva alternative open-source pentru moonintheriver/diffsinger?

Alternativele open-source pentru moonintheriver/diffsinger includ: 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…

DiffSinger

Features

Istoric stele

DiffSinger

Features

Alternative open-source pentru DiffSinger

TensorSpeech/TensorflowTTS

AIGC-Audio/AudioGPT

VOICEVOX/voicevox

stakira/openutau

Întrebări frecvente

Istoric stele

Alternative open-source pentru DiffSinger

TensorSpeech/TensorflowTTS

AIGC-Audio/AudioGPT

VOICEVOX/voicevox

stakira/openutau

Întrebări frecvente