语音合成论文趋势 2023–2026
TTS 与声码器
统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 621 篇被归入该主题的论文。
主要结论
- 语音合成论文从 2023 年的 125 篇增长到 2026 年的 200 篇,三年间扩大到约 1.6 倍。
- NeurIPS 是发语音合成论文最多的会议,2023–2026 年共 204 篇,占四个会议总量的 33%。
- 交叉方向里涨得最快的是目标检测:同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 10 篇。
- 在「语音与音频」的 5 个主题里,它的 2026 年论文数排第 2;同组增长最快的音频生成是 4.3 倍,语音合成是 1.6 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 54 | 22 | 26 | 23 | 125 |
| 2024 | 38 | 26 | 21 | 60 | 145 |
| 2025 | 45 | 32 | 16 | 58 | 151 |
| 2026 | 67 | 43 | 36 | 54 | 200 |
代表论文
按年份和会议均匀挑选,方便快速看到每一届的样貌
- NeurIPS 2026CAPER: Clause-Aligned Process Supervision for Text-to-SQL
- ICML 2026Black-Box Detection of LLM-Generated Text Using Generalized Jensen Shannon Divergence
- ICLR 2026CSRv2: Unlocking Ultra-Sparse Embeddings
- CVPR 2026Aligning Text Images and 3D Structure Token-by-Token
- NeurIPS 2025AdaDetectGPT: Adaptive Detection of LLM-Generated Text with Statistical Guarantees
- ICML 2025How to Synthesize Text Data without Model Collapse?
- ICLR 2025AI as Humanity’s Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text
- CVPR 2025AMO Sampler: Enhancing Text Rendering with Overshooting
- NeurIPS 2024SM3-Text-to-Query: Synthetic Multi-Model Medical Text-to-Query Benchmark
- ICML 2024Adaptive Text Watermark for Large Language Models
- ICLR 2024Are Models Biased on Text without Gender-related Language?
- CVPR 2024Kernel Adaptive Convolution for Scene Text Detection via Distance Map Prediction
- NeurIPS 2023[Re] Pure Noise to the Rescue of Insufficient Data
- ICML 2023Approximation and Estimation Ability of Transformers for Sequence-to-Sequence Functions with Infinite Dimensional Input
- ICLR 2023Bag of Tricks for Unsupervised Text-to-Speech
- CVPR 20233D Highlighter: Localizing Regions on 3D Shapes via Text Descriptions
- NeurIPS 2026DiffScore: Text Evaluation Beyond Autoregressive Likelihood
- ICML 2026CoCoEmo: Composable and Controllable Human-Like Emotional TTS via Activation Steering
- ICLR 2026DrVoice: Parallel Speech-Text Voice Conversation Model via Dual-Resolution Speech Representations
- CVPR 2026Learning complete and explainable visual representations from itemized text supervision
全部语音合成论文
共 621 篇,第 4 / 13 页
- NeurIPS 2026Is Text All You Need? Text as a Universal Information Bottleneck for Speech LLMs
- NeurIPS 2026Kinetic-Optimal Scheduling with Moment Correction for Metric-Induced Discrete Flow Matching in Zero-Shot Text-to-Speech
- NeurIPS 2026Language Denoising Objectives Extend the Value of Limited Data
- NeurIPS 2026LensCT: Fine-Grained AI-Involved Text Detection via Temporal-Hierarchical Tomograms of LLM Internals
- NeurIPS 2026LibriBrain100: One Hundred Hours of Broad and Deep MEG Data for Neural Speech Decoding at Scale
- NeurIPS 2026LLM Flow Processes for Text-Conditioned Regression
- NeurIPS 2026Log-Likelihood, Simpson’s Paradox, and the Detection of Machine-Generated Text
- NeurIPS 2026Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension
- NeurIPS 2026Majority-of-Three is an Optimal PAC Learner
- NeurIPS 2026Making Open-Source Text LLM Watermarks Durable Against Merging
- NeurIPS 2026MemPlan: Memory-Conditioned PDDL Planning for Partially Observable Text Environments
- NeurIPS 2026Minimizing Modality Gap from the Input Side: Your Speech LLM Can Be a Prosody-Aware Text LLM
- NeurIPS 2026MOSAIC: Concept Bottlenecks via Text-Anchored Optimal Transport
- NeurIPS 2026MultiTalk: Scaling Full-Duplex Speech Models to Long, Multi-Party, Bilingual Conversation
- NeurIPS 2026NeuroFaith: Evaluating Mechanistic Faithfulness of LLM Free Text Self-Explanation at the Concept Level
- NeurIPS 2026NeuroInk: Retinomorphic Spiking Sequence Modeling for Handwritten Text Recognition
- NeurIPS 2026No Model Required: Text Entropy Rate Filtering Prevents Iterative Fine-Tuning Collapse
- NeurIPS 2026On Length Bias in EEG-to-Text Decoding
- NeurIPS 2026ORCA: Hunting Compositional Failures in Text-to-Image Diffusion
- NeurIPS 2026PATH: A Dual Perspective for High-quality Text-attributed Graph Learning
- NeurIPS 2026Permute-then-Adapt: Weak-to-Strong Contrastive Image--Text Adaptation
- NeurIPS 2026Pref-DetectGPT: Unveiling Machine-Generated Text via Preference-Aware Curvature Measurement
- NeurIPS 2026Pretraining Data Statistics Shape the Phases of Learning Entity Comparison in Language Models
- NeurIPS 2026Prior Text-Informed Gate Attention Framework for Multimodal Psychiatric Disorder Diagnosis
- NeurIPS 2026PRO: Enabling Precise and Robust Text Watermark for Open-Source LLMs
- NeurIPS 2026Real In, Real Out: What If We Only Use Real Data for Scene Text Editing?
- NeurIPS 2026Rep2Text: Decoding Full Text from a Single LLM Token Representation
- NeurIPS 2026Rethinking Contrastive Loss in CLIP Post-training: A Complementary Framework with Frozen Text Encoder
- NeurIPS 2026Rethinking Entropy Allocation in LLM-based ASR: Understanding the Dynamics between Speech Encoders and Large Language Models
- NeurIPS 2026RobustStress: Stress-Testing AI-Generated Text Detectors under Gradual Perturbations
- NeurIPS 2026Say the Same, Act Differently: Text-Orthogonal Action Subspaces in Reasoning Vision-Language-Action Models
- NeurIPS 2026Seeing but Not Detecting: Privacy-Preserving Scene Text Attack via Hybrid Adversarial Policy Learning
- NeurIPS 2026Seeing Speech: Learning Visible Articulatory Dynamics for Speech-Driven 3D Facial Animation
- NeurIPS 2026SENSE: Semantic Neural Speech Synthesis from Brain Dynamics via Spatial Graph Encoding
- NeurIPS 2026She Performs Your Voice: A Unified Speech and Dance Motion Model
- NeurIPS 2026SMASH: Probing Speech Recognition Robustness via Semantically Targeted Bit Flips
- NeurIPS 2026Speech Tokenizers are Vulnerable: Transferable Semantic Attack and Robust Tokenizer
- NeurIPS 2026TED: Text-Axis Evidence Decomposition for Prompted Anomaly Localization
- NeurIPS 2026Text-to-CAD Evaluation with CADTests
- NeurIPS 2026TRACE: Data-Free Text Reconstruction Attacks against Approximate Unlearning in LLMs
- NeurIPS 2026TriBet: Relative E-values for Online Machine-generated Text Detection
- NeurIPS 2026TROPT: An Open Framework for Unifying and Advancing Discrete Text Optimization
- NeurIPS 2026Uncovering Semantic Hierarchies in Text-Attributed Graphs via Variational EM-based LLM–GNN Synergy
- NeurIPS 2026View-Spectral Reconciliation Learning for Text-based Multispectral Aerial–Ground Person Re-Identification
- NeurIPS 2026VisInteract: Towards Dynamic Interactive Text-to-Visualization under Imperfect Queries
- NeurIPS 2026Visual Text Compression as Measure Transport
- NeurIPS 2026ViTeX-Bench: Benchmarking High-Fidelity Video Scene Text Editing
- NeurIPS 2026Viverra: Text-to-Code with Guarantees
- NeurIPS 2026WAXAL: A Large-Scale Multilingual African Language Speech Corpus
- NeurIPS 2026When Language Overrules: Revealing Text Dominance in Multimodal Large Language Models
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后,写综述、挑方向或准备投稿时,不用离开对话框就能拿到这页的数字:每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文,AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查语音合成在 NeurIPS 2023–2026 的论文趋势,哪一年涨得最快?
AI 会调用的工具:get_topic_stats {"topic": "text-to-speech"}
常见问题
- 2023–2026 年四大会议一共有多少篇语音合成论文?
- 共 621 篇,按年份分别是 2023 年 125 篇、2024 年 145 篇、2025 年 151 篇、2026 年 200 篇。
- NeurIPS 2026 有多少篇语音合成论文?
- NeurIPS 2026 有 67 篇语音合成论文,上一届是 45 篇。
- ICLR 2026 有多少篇语音合成论文?
- ICLR 2026 有 43 篇语音合成论文,上一届是 32 篇。
- ICML 2026 有多少篇语音合成论文?
- ICML 2026 有 36 篇语音合成论文,上一届是 16 篇。
- CVPR 2026 有多少篇语音合成论文?
- CVPR 2026 有 54 篇语音合成论文,上一届是 58 篇。
- 哪个会议的语音合成论文最多?
- NeurIPS,2023–2026 年共 204 篇。