BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data
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Abstract (arXiv)
We introduce a text-to-speech (TTS) model called BASE TTS, which stands for Big Adaptive Streamable TTS with Emergent abilities. BASE TTS is the largest TTS model to-date, trained on 100K hours of public domain speech data, achieving a new state-of-the-art in speech naturalness. It deploys a 1-billion-parameter autoregressive Transformer that converts raw texts into discrete codes ("speechcodes") followed by a convolution-based decoder which converts these speechcodes into waveforms in an incremental, streamable manner. Further, our speechcodes are built using a novel speech tokenization technique that features speaker ID disentanglement and compression with byte-pair encoding. Echoing the widely-reported "emergent abilities" of large language models when trained on increasing volume of data, we show that BASE TTS variants built with 10K+ hours and 500M+ parameters begin to demonstrate natural prosody on textually complex sentences. We design and share a specialized dataset to measure these emergent abilities for text-to-speech. We showcase state-of-the-art naturalness of BASE TTS by evaluating against baselines that include publicly available large-scale text-to-speech systems: YourTTS, Bark and TortoiseTTS. Audio samples generated by the model can be heard at https://amazon-ltts-paper.com/.
Key facts. Cited by 75 papers in the map (data through 14 Oct 2026). Builds on 72 of its 105 references that are in the map. First posted on arXiv 12 Feb 2024.
Builds on
72 of 105 references.
References · 72
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- 2020HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesiscited by 1,154
- 2017Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictionscited by 804
- 2021SoundStream: An End-to-End Neural Audio Codeccited by 771
- 2023Neural Codec Language Models are Zero-Shot Text to Speech Synthesizerscited by 752
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- 2021Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speechcited by 561
- 2021Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speechcited by 447
- 2021W2v-BERT: Combining Contrastive Learning and Masked Language Modeling for Self-Supervised Speech Pre-Trainingcited by 347
- 2021YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyonecited by 278
- 2022Self-Supervised Speech Representation Learning: A Reviewcited by 260
- 2022BigVGAN: A Universal Neural Vocoder with Large-Scale Trainingcited by 251
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- 2018Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotroncited by 173
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50 most cited of 72 All 72 (JSON)
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Citing papers per year: 2024: 34; 2025: 30; 2026: 11.
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- 2024Speech Synthesis From Continuous Features Using Per-Token Latent Diffusioncited by 5
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- 2024SF-Speech: Straightened Flow for Zero-Shot Voice Clonecited by 4
- 2025Accelerating Diffusion-based Text-to-Speech Model Training with Dual Modality Alignmentcited by 4
- 2025Shallow Flow Matching for Coarse-to-Fine Text-to-Speech Synthesiscited by 2
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- 2025Vox-Evaluator: Enhancing Stability and Fidelity for Zero-shot TTS with A Multi-Level Evaluator23 Oct 2025
- 2025StreamFlow: Streaming Flow Matching with Block-wise Guided Attention Mask for Speech Token Decoding30 Jun 2025
- 2025Audio Generation Through Score-Based Generative Modeling: Design Principles and Implementation10 Jun 2025
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- 2025Accelerating Flow-Matching-Based Text-to-Speech via Empirically Pruned Step Sampling26 May 2025
- 2025Accelerating Diffusion-based Text-to-Speech Model Training with Dual Modality Alignment26 May 2025
- 2025Shallow Flow Matching for Coarse-to-Fine Text-to-Speech Synthesis18 May 2025
- 2025F5R-TTS: Improving Flow-Matching based Text-to-Speech with Group Relative Policy Optimization3 Apr 2025
- 2024CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models13 Dec 2024
12 newest of 15 All 15 (JSON)
- 2024Fast and High-Quality Auto-Regressive Speech Synthesis via Speculative Decodingcited by 17
- 2024Accelerating Codec-based Speech Synthesis with Multi-Token Prediction and Speculative Decodingcited by 10
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- 2024Fast and High-Quality Auto-Regressive Speech Synthesis via Speculative Decoding29 Oct 2024
- 2024Accelerating Codec-based Speech Synthesis with Multi-Token Prediction and Speculative Decoding17 Oct 2024
- 2024CosyVoice: A Scalable Multilingual Zero-shot Text-to-speech Synthesizer based on Supervised Semantic Tokenscited by 334
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- 2024VALL-E 2: Neural Codec Language Models are Human Parity Zero-Shot Text to Speech Synthesizerscited by 122
- 2024SD-Eval: A Benchmark Dataset for Spoken Dialogue Understanding Beyond Wordscited by 68
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- 2024Language Model Can Listen While Speakingcited by 63
- 2025Recent Advances in Discrete Speech Tokens: A Reviewcited by 43
- 2024Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Surveycited by 27
- 2025EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judgecited by 24
- 2025Emilia: A Large-Scale, Extensive, Multilingual, and Diverse Dataset for Speech Generationcited by 20
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- 2025MoonCast: High-Quality Zero-Shot Podcast Generationcited by 18
12 most cited of 53 All 53 (JSON)
- 2026Can Prosodic Style Be Inferred from Text Alone? Evidence from Unsupervised Acoustic Clusters4 Oct 2026
- 2026X2Streaming-TTS: Causal Token-Level Text-to-Speech from Streaming Text with Speech-State Inheritance19 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
- 2026Is Natural Always Appropriate? Investigating Naturalness and Appropriateness Across Different Domains for TTS Evaluation30 Jun 2026
- 2026X-Voice: Enabling Everyone to Speak 30 Languages via Zero-Shot Cross-Lingual Voice Cloning7 May 2026
- 2026MimicLM: Zero-Shot Voice Imitation through Autoregressive Modeling of Pseudo-Parallel Speech Corpora13 Apr 2026
- 2026StyleStream: Real-Time Zero-Shot Voice Style Conversion23 Feb 2026
- 2025Mitigating Hallucinations in LM-Based TTS Models via Distribution Alignment Using GFlowNets21 Aug 2025
- 2025Who Gets the Mic? Investigating Gender Bias in the Speaker Assignment of a Speech-LLM19 Aug 2025
- 2025The State Of TTS: A Case Study with Human Fooling Rates6 Aug 2025
- 2025Quantize More, Lose Less: Autoregressive Generation from Residually Quantized Speech Representations16 Jul 2025
12 newest of 53 All 53 (JSON)