MegaTTS 3: Sparse Alignment Enhanced Latent Diffusion Transformer for Zero-Shot Speech Synthesis
On the map: Diffusion models → Audio, speech and music
Abstract (arXiv)
While recent zero-shot text-to-speech (TTS) models have significantly improved speech quality and expressiveness, mainstream systems still suffer from issues related to speech-text alignment modeling: 1) models without explicit speech-text alignment modeling exhibit less robustness, especially for hard sentences in practical applications; 2) predefined alignment-based models suffer from naturalness constraints of forced alignments. This paper introduces textitMegaTTS 3, a TTS system featuring an innovative sparse alignment algorithm that guides the latent diffusion transformer (DiT). Specifically, we provide sparse alignment boundaries to MegaTTS 3 to reduce the difficulty of alignment without limiting the search space, thereby achieving high naturalness. Moreover, we employ a multi-condition classifier-free guidance strategy for accent intensity adjustment and adopt the piecewise rectified flow technique to accelerate the generation process. Experiments demonstrate that MegaTTS 3 achieves state-of-the-art zero-shot TTS speech quality and supports highly flexible control over accent intensity. Notably, our system can generate high-quality one-minute speech with only 8 sampling steps. Audio samples are available at https://sditdemo.github.io/sditdemo/.
Key facts. Cited by 39 papers in the map (data through 7 Oct 2026). Placed in Audio, speech and music, one of 14 directions in Diffusion models. Builds on 51 of its 70 references that are in the map. First posted on arXiv 26 Feb 2025.
Builds on
51 of 70 references.
Closest ancestors · 8
Same direction, newest first
- 2024F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching9 Oct
- 2024SimpleSpeech 2: Towards Simple and Efficient Text-to-Speech with Flow-based Scalar Latent Transformer Diffusion Models25 Aug
- 2024SimpleSpeech: Towards Simple and Efficient Text-to-Speech with Scalar Latent Transformer Diffusion Models4 Jun
- 2024NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models5 Mar
- 2023E3 TTS: Easy End-to-End Diffusion-based Text to Speech2 Nov
- 2023StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models13 Jun
- 2023NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers18 Apr
- 2021Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance23 Nov
Other references · 43
- 2024The Llama 3 Herd of Modelscited by 14,192
- 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,084
- 2021RoFormer: Enhanced Transformer with Rotary Position Embeddingcited by 4,581
- 2022Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flowcited by 3,550
- 2021HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Unitscited by 2,301
- 2019Common Voice: A Massively-Multilingual Speech Corpuscited by 1,358
- 2020HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesiscited by 1,139
- 2016Least Squares Generative Adversarial Networkscited by 1,000
- 2017Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictionscited by 800
- 2023Neural Codec Language Models are Zero-Shot Text to Speech Synthesizerscited by 737
- 2020FastSpeech 2: Fast and High-Quality End-to-End Text to Speechcited by 710
- 2019LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speechcited by 639
31 more
- 2021Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speechcited by 555
- 2019Libri-Light: A Benchmark for ASR with Limited or No Supervisioncited by 462
- 2023High-Fidelity Audio Compression with Improved RVQGANcited by 423
- 2021GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audiocited by 391
- 2024CosyVoice: A Scalable Multilingual Zero-shot Text-to-speech Synthesizer based on Supervised Semantic Tokenscited by 323
- 2024Seed-TTS: A Family of High-Quality Versatile Speech Generation Modelscited by 293
- 2018Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesiscited by 280
- 2021YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyonecited by 277
- 2020Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Searchcited by 269
- 2021WenetSpeech: A 10000+ Hours Multi-domain Mandarin Corpus for Speech Recognitioncited by 189
- 2021A Survey on Neural Speech Synthesiscited by 182
- 2023Speak Foreign Languages with Your Own Voice: Cross-Lingual Neural Codec Language Modelingcited by 166
- 2024E2 TTS: Embarrassingly Easy Fully Non-Autoregressive Zero-Shot TTScited by 149
- 2024WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modelingcited by 124
- 2024VALL-E 2: Neural Codec Language Models are Human Parity Zero-Shot Text to Speech Synthesizerscited by 119
- 2024VoiceCraft: Zero-Shot Speech Editing and Text-to-Speech in the Wildcited by 118
- 2024PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Acceleratorcited by 95
- 2023InstructTTS: Modelling Expressive TTS in Discrete Latent Space with Natural Language Style Promptcited by 90
- 2021UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generationcited by 71
- 2024Autoregressive Speech Synthesis without Vector Quantizationcited by 65
- 2024ELLA-V: Stable Neural Codec Language Modeling with Alignment-guided Sequence Reorderingcited by 50
- 2023Mega-TTS 2: Boosting Prompting Mechanisms for Zero-Shot Speech Synthesiscited by 41
- 2024Towards audio language modeling -- an overviewcited by 40
- 2023HierSpeech++: Bridging the Gap between Semantic and Acoustic Representation of Speech by Hierarchical Variational Inference for Zero-shot Speech Synthesiscited by 35
- 2023VoiceLDM: Text-to-Speech with Environmental Contextcited by 23
- 2024DualSpeech: Enhancing Speaker-Fidelity and Text-Intelligibility Through Dual Classifier-Free Guidancecited by 11
- 2024AccentBox: Towards High-Fidelity Zero-Shot Accent Generationcited by 9
- 2023ParrotTTS: Text-to-Speech synthesis by exploiting self-supervised representationscited by 4
- 2023Accent-VITS:accent transfer for end-to-end TTScited by 3
- 2022Accented Text-to-Speech Synthesis with a Conditional Variational Autoencodercited by 2
- 2023Multilingual Multiaccented Multispeaker TTS with RADTTScited by 2
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Citing papers per year: 2025: 18; 2026: 21.
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- 2025JAM: A Tiny Flow-based Song Generator with Fine-grained Controllability and Aesthetic Alignment28 Jul 2025
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- 2026Reliable Neural-Codec Text-to-Speech by ASR Self-Verification and Distillation: Near-Zero Catastrophic Failures Across Models and Codecs16 Jun 2026
- 2026EmoInstruct-TTS: Dual-Path Instruction-Guided Emotional Speech Synthesis8 Jun 2026
- 2026X-Voice: Enabling Everyone to Speak 30 Languages via Zero-Shot Cross-Lingual Voice Cloning7 May 2026
- 2026From Seeing it to Experiencing it: Interactive Evaluation of Intersectional Voice Bias in Human-AI Speech Interaction19 Mar 2026
- 2026The Voice Behind the Words: Quantifying Intersectional Bias in SpeechLLMs15 Mar 2026
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