Vocoders and speech synthesis
Key facts. Vocoders and speech synthesis: 1,631 papers on arXiv since 2021 (data through 19 Oct 2026). 486 of its 1,631 mapped papers (30%) cite “Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers” (2023, arXiv 2301.02111). 28 new papers 2 Oct–19 Oct.
What’s new
2 Oct – 19 Oct 2026
28 new papers, 2 Oct – 19 Oct; 2 this week.
- This week · 2
- Steering intonational tunes in text-to-speech synthesis also fits: Audio language models and spoken dialogue
- SEAM: Spectral Embedding Alignment and Merging for Low-Resource TTS
- Earlier · 26
- MixiSpeech: Progressive State Distillation for One-Step Vietnamese TTS
- ShlokaDhara: A Multi-Speaker Sanskrit Speech Corpus for Learning Meter-Aware Prosody in Text-to-Recitation
- Beyond the Benchmark: Conditioning, Domains and Failure Modes of Qwen3-TTS
- CoSTA: Compressed Speech Token Adaptation for Efficient Spoken Dialogue Models also fits: Speech translation
- Probing Neural Audio Codecs with Speaker Traits and Speech Characteristics
- Revise-TTS: A Non-Masking Refinement Framework for Masked Diffusion Models in Text-to-Speech
- PACT: A Pragmatic Prompting Framework for Expressive and Voice-Preserving Speech-to-Speech Translation also fits: Speech translation
- BridgeCodec: Mamba Enhanced Neural Audio Codec with Schr"odinger Bridge at Low Bitrate also fits: Speech enhancement and noise suppression
All 28
- Training a Compact, Strong, and Realistic Text-to-Speech Model
- VoTSpeech: Decoupling Voice Design from Speech Generation in Instruction-Following TTS
- AudioTETRIS: Token Elimination via Transitional Importance Signals for Efficient Audio LLMs also fits: Audio language models and spoken dialogue
- Beyond Speech Captions: Speech-Rewarded Style Planning for Conversational Text-to-Speech also fits: Audio language models and spoken dialogue
- Edit Who Speaks, Control How They Speak: Global Timbre Editing and Local Instruction Control for TTS
- Local Prototype Reconstruction for Text-Compatible Speech-to-LLM Bridge Pretraining also fits: Speech translation
- Training-Free Instruction TTS Gender Bias Calibration Using Model-Adaptive Steering
- Beyond Token Revision: Investigating Mask-and-Replace Diffusion for Zero-Shot Text-to-Speech
- Hearing's Blind Spots: Toward Perceptual Compute Allocation in Neural Text-to-Speech also fits: Speech enhancement and noise suppression
- Loud and Clear: Dynamic Activation Steering for Improving Speech Intelligibility in Noisy Environments also fits: Audio language models and spoken dialogue
- Pronunciation-Oriented Reinforcement Learning for Japanese Text-to-Speech with Kana-Domain ASR Rewards also fits: Multilingual and low-resource ASR
- Region-Aware Masking for Accent-Robust Cross-Lingual Text-to-Speech also fits: Speech translation
- Neural Representations, Natural Connections: What Transfers From Human Speech Foundation Models to Animal Vocalizations? also fits: Audio language models and spoken dialogue
- Paradee: Distilling Kokoro-82M into an 8M-Parameter Single-Voice Text-to-Speech Model also fits: Audio language models and spoken dialogue
- A Comprehensive Objective Evaluation of Modern Text-to-Speech for Turkish Using Speech Quality Assessment Models also fits: Multilingual and low-resource ASR
- GS-Codec: A Gaussian-Splatting Bottleneck for Neural Audio Coding
- DriftTTS: Few-Step Text-to-Speech Without Distillation via Distribution-Matching Drift
- Refinement Buys Intelligibility, Search Buys Identity: What Test-Time Compute Buys in Masked-Diffusion TTS also fits: Audio language models and spoken dialogue
Foundations
Most cited by papers here
- Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers2023cited by 486 here
- SoundStream: An End-to-End Neural Audio Codec2021cited by 358 here
- Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech2021cited by 344 here
- F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching2024cited by 242 here
- Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale2023cited by 231 here
Lineage
The papers this direction builds on, oldest first.
Each paper on the line cites the one before.
- 2021Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speechcited by 344 here
- 2021A Survey on Neural Speech Synthesiscited by 124 here
- 2021YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyonecited by 193 here
- 2023Neural Codec Language Models are Zero-Shot Text to Speech Synthesizerscited by 486 here
- 2023Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal Supervisioncited by 157 here
- 2023NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizerscited by 163 here
- 2023Voicebox: Text-Guided Multilingual Universal Speech Generation at Scalecited by 231 here
- 2024NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Modelscited by 185 here
- 2024VALL-E 2: Neural Codec Language Models are Human Parity Zero-Shot Text to Speech Synthesizerscited by 106 here
- 2024E2 TTS: Embarrassingly Easy Fully Non-Autoregressive Zero-Shot TTScited by 137 here
- 2024MaskGCT: Zero-Shot Text-to-Speech with Masked Generative Codec Transformercited by 137 here
- 2024F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matchingcited by 242 here
- 2024CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Modelscited by 164 here
11 more it builds on, not in this chain
- 2021Generative Spoken Language Modeling from Raw Audiocited by 97 here
- 2021Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speechcited by 166 here
- 2021SoundStream: An End-to-End Neural Audio Codeccited by 358 here
- 2021WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processingcited by 347 here
- 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 460 here
- 2023Speak Foreign Languages with Your Own Voice: Cross-Lingual Neural Codec Language Modelingcited by 109 here
- 2023Matcha-TTS: A fast TTS architecture with conditional flow matchingcited by 100 here
- 2024Seed-TTS: A Family of High-Quality Versatile Speech Generation Modelscited by 208 here
- 2024CosyVoice: A Scalable Multilingual Zero-shot Text-to-speech Synthesizer based on Supervised Semantic Tokenscited by 209 here
- 2024WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modelingcited by 98 here
- 2024Moshi: a speech-text foundation model for real-time dialoguecited by 153 here
The 24 most cited of 2,021.
Browse
30 of 1,631, ranked 6–35
- 6CosyVoice: A Scalable Multilingual Zero-shot Text-to-speech Synthesizer based on Supervised Semantic Tokens2024209
- 7Seed-TTS: A Family of High-Quality Versatile Speech Generation Models2024208
- 8YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone2021193
- 9NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models2024185
- 10Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech2021166
- 11CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models2024164
- 12NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers2023163
- 13Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal Supervision2023157
- 14E2 TTS: Embarrassingly Easy Fully Non-Autoregressive Zero-Shot TTS2024137
- 15MaskGCT: Zero-Shot Text-to-Speech with Masked Generative Codec Transformer2024137
All 30
- 16A Survey on Neural Speech Synthesis2021124
- 17Speak Foreign Languages with Your Own Voice: Cross-Lingual Neural Codec Language Modeling2023109
- 18VALL-E 2: Neural Codec Language Models are Human Parity Zero-Shot Text to Speech Synthesizers2024106
- 19Matcha-TTS: A fast TTS architecture with conditional flow matching2023100
- 20WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modeling202498
- 21Generative Spoken Language Modeling from Raw Audio202197
- 22XTTS: a Massively Multilingual Zero-Shot Text-to-Speech Model202496
- 23CosyVoice 3: Towards In-the-wild Speech Generation via Scaling-up and Post-training202594
- 24Spark-TTS: An Efficient LLM-Based Text-to-Speech Model with Single-Stream Decoupled Speech Tokens202591
- 25NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Quality202289
- 26VoiceCraft: Zero-Shot Speech Editing and Text-to-Speech in the Wild202488
- 27HiFi-Codec: Group-residual Vector quantization for High Fidelity Audio Codec202388
- 28StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models202383
- 29SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language Models202383
- 30AdaSpeech: Adaptive Text to Speech for Custom Voice202180
- 31Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation202176
- 32Diff-TTS: A Denoising Diffusion Model for Text-to-Speech202172
- 33FireRedTTS: A Foundation Text-To-Speech Framework for Industry-Level Generative Speech Applications202471
- 34Llasa: Scaling Train-Time and Inference-Time Compute for Llama-based Speech Synthesis202570
- 35LibriTTS-R: A Restored Multi-Speaker Text-to-Speech Corpus202370