VALL-E 2: Neural Codec Language Models are Human Parity Zero-Shot Text to Speech Synthesizers
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Cited by 27 in Diffusion models, but placed by its own abstract, which didn’t fit.
Abstract (arXiv)
This paper introduces VALL-E 2, the latest advancement in neural codec language models that marks a milestone in zero-shot text-to-speech synthesis (TTS), achieving human parity for the first time. Based on its predecessor, VALL-E, the new iteration introduces two significant enhancements: Repetition Aware Sampling refines the original nucleus sampling process by accounting for token repetition in the decoding history. It not only stabilizes the decoding but also circumvents the infinite loop issue. Grouped Code Modeling organizes codec codes into groups to effectively shorten the sequence length, which not only boosts inference speed but also addresses the challenges of long sequence modeling. Our experiments on the LibriSpeech and VCTK datasets show that VALL-E 2 surpasses previous systems in speech robustness, naturalness, and speaker similarity. It is the first of its kind to reach human parity on these benchmarks. Moreover, VALL-E 2 consistently synthesizes high-quality speech, even for sentences that are traditionally challenging due to their complexity or repetitive phrases. The advantages of this work could contribute to valuable endeavors, such as generating speech for individuals with aphasia or people with amyotrophic lateral sclerosis. See https://aka.ms/valle2 for demos of VALL-E 2.
Key facts. Cited by 119 papers in the map (data through 7 Oct 2026). Builds on 44 of its 52 references that are in the map. First posted on arXiv 8 Jun 2024.
Builds on
44 of 52 references.
References · 44
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32 more
- 2023High-Fidelity Audio Compression with Improved RVQGANcited by 423
- 2023Voicebox: Text-Guided Multilingual Universal Speech Generation at Scalecited by 373
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- 2020DNSMOS: A Non-Intrusive Perceptual Objective Speech Quality metric to evaluate Noise Suppressorscited by 235
- 2023NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizerscited by 233
- 2024NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Modelscited by 222
- 2023Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal Supervisioncited by 167
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- 2022NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Qualitycited by 151
- 2023Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesiscited by 150
- 2023StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Modelscited by 148
- 2023UniAudio: An Audio Foundation Model Toward Universal Audio Generationcited by 127
- 2023Audiobox: Unified Audio Generation with Natural Language Promptscited by 120
- 2023SoundStorm: Efficient Parallel Audio Generationcited by 111
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- 2023SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language Modelscited by 85
- 2023Libriheavy: a 50,000 hours ASR corpus with punctuation casing and contextcited by 84
- 2024BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of datacited by 74
- 2023SpeechX: Neural Codec Language Model as a Versatile Speech Transformercited by 64
- 2023Mega-TTS: Zero-Shot Text-to-Speech at Scale with Intrinsic Inductive Biascited by 51
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- 2023Make-A-Voice: Unified Voice Synthesis With Discrete Representationcited by 27
- 2023RepCodec: A Speech Representation Codec for Speech Tokenizationcited by 27
- 2024RALL-E: Robust Codec Language Modeling with Chain-of-Thought Prompting for Text-to-Speech Synthesiscited by 26
- 2023PolyVoice: Language Models for Speech to Speech Translationcited by 19
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Citing papers per year: 2024: 27; 2025: 57; 2026: 35.
119 papers.
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- 2026Kraken: LLM-based Speech-to-Speech Translation via Low-bitrate VQ and Dual-path Source Conditioning11 Sep 2026
- 2026Diagnose, Then Refine: A Closed-Loop TTS System with AudioLLM-Guided Correction29 Aug 2026
- 2026A survey of AI-generated voices and their detection15 Aug 2026
- 2026Experience-Calibrated Contrastive Decoding for Mitigating Hallucinations in LM-Based Text-to-Speech1 Aug 2026
- 2026Stable Autoregressive Speech Generation with Low-Frame-Rate High-Dimensional Continuous Tokens31 Jul 2026
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